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Reviews=The Bad Boys Mike Lowrey and Marcus Burnett are back together for one last ride in the highly anticipated Bad Boys for Life release Date=2020 User rating=7,8 / 10 Star runtime=123Minutes Genre=Thriller

Bad boys para siempre mi. Bad boy para siempre soundtrack. Katana_Musik Original Bombastic 💪🎼💯. Another more obvious easter egg, in this movie, is that Will Smith is driving Porsche 911. And in the 1995, he is driving well, a black Porsche 911 turbo, which is definitely paying homage to the orginal. In Part 2, he had a Ferrari instead. From Wikipedia, the free encyclopedia Jump to navigation Jump to search Takako Honda 本田 貴子 Born August 14, 1972 (age 47) Tokyo, Japan Occupation Voice actress narrator Years active 1998–present Agent Office Osawa Height 173 cm (5 ft 8 in) Takako Honda ( 本田 貴子, Honda Takako, born August 14, 1972) is a Japanese voice actress and narrator affiliated with Office Osawa. She is the regular dubbing voice actress for Halle Berry, Hilary Swank and Milla Jovovich. Filmography [ edit] Television animation [ edit] 2000 Ghost Stories - Hajime Aoyama Hamtaro - Noppo-kun in Tottoko Hamutaro 2001 Figure 17 - Shinji Ogawa Hikaru no Go - Yuri Hidaka 2002 Tokyo Mew Mew - Sakura Momomiya, Tomoya 2003 Godannar - Kiriko Aoi Naruto - Anko Mitarashi 2004 Bleach - Jinta Hanakari Tweeny Witches - Barunn, Hata 2005 Cyborg 009 - Child Joe Shimamura Jigoku Shoujo - Hone-Onna Speed Grapher - Hibari Ginza Trinity Blood - Cardinal Caterina Sforza 2006 Bleach - Dalk (Doll) Nana - Junko Saotome 2007 - Mahoja Darker than Black - April Tengen Toppa Gurren Lagann - Gimmy and Leite Pokémon Diamond and Pearl - Pokémon Hunter J 2009 Fullmetal Alchemist: Brotherhood - Martel 2010 Cobra the Animation - Pamela Lee Marvel Anime: Iron Man - Chika Tanaka 2011 Deadman Wonderland - Chief Guard Makina Hanasaku Iroha - Satsuki Matsumae Wandering Son - Hiroyuki Yoshida / Yuki 2014 Cross Ange - Jill / Alektra Maria von Loewenherz 2017 Boruto: Naruto Next Generations - Anko Mitarashi 2018 Killing Bites - Kaede Kazama 2019 Fairy Tail - Irene Belserion Unknown date Bleach ( Uryū Ishida (young) Mirmo! Kuroro) Naruto Shippuden (Anko Mitarashi) Saint Seiya: The Lost Canvas ( Behemoth Violate) Tsubasa Chronicle (Ashura) Theatrical animation [ edit] Dead Leaves (Pandy) Kara no Kyōkai (movies) Toko Aozaki) Video games [ edit] Radiant Silvergun (1998) Operator 2) Front Mission 5: Scars of the War (2005) Lynn Wenright) Rogue Galaxy (2005) Fable and Angela Seas) Valkyrie Profile 2: Silmeria (2006) Iseria Queen) Tomb Raider: Legend (2006. Lara Croft) Tomb Raider: Anniversary (2007. Lara Croft) Odin Sphere (2007) Elfaria and Odette) Soulcalibur IV (2008. Angol Fear, Shura) Tomb Raider: Underworld (2008. Lara Croft) Fallout: New Vegas (2010) Rose of Sharon Cassidy) Lara Croft and the Guardian of Light (2010. Lara Croft) Asura's Wrath (2012) Olga) Drama CD [ edit] Ambassador wa Yoru ni Sasayaku. Caroline) GetBackers. Dokubachi) Onimusha: Dawn of Dreams. Shinobu Wind Demon #2) Princess Princess. Mikoto Yutaka) Soul Eater (Vol. 1) Special Social Studies Field Trip. Death the Kid) Dubbing roles [ edit] Live-action [ edit] Milla Jovovich The Claim (Lucia) No Good Deed (Erin) Resident Evil (Alice) 1] You Stupid Man (Nadine) Resident Evil: Apocalypse (Alice) 2. 45 (Kat) Ultraviolet (Violet Song Jat Shariff) 3] Resident Evil: Extinction (Alice) 4] The Fourth Kind (Dr. Abigail "Abbey" Tyler) 5] A Perfect Getaway (Cydney) 6] Resident Evil: Afterlife (Alice) 7] Stone (Lucetta) 8] Faces in the Crowd (Anna Merchant) 9] Resident Evil: Retribution (Alice) 10] Cymbeline (Queen) Survivor (Kate Abbott) Resident Evil: The Final Chapter (Alice) 11] Shock and Awe (Vlatka Landay) 12] Hellboy (Vivienne Nimue, the Blood Queen) 13] Halle Berry Die Another Day (Giacinta 'Jinx' Johnson) 14] Gothika (Dr. Miranda Grey) 15] X2 (Ororo Munroe / Storm) 16] Catwoman (Patience Phillips / Catwoman) 17] X-Men: The Last Stand (Ororo Munroe / Storm) 18] Perfect Stranger (Rowena Price) 19] Cloud Atlas (Jocasta Ayrs/Luisa Rey/Ovid/Meronym/Native Woman/Indian Party Guest) 20] The Call (Jordan Turner) 21] X-Men: Days of Future Past (Ororo Munroe / Storm) 22] Kingsman: The Golden Circle (Ginger Ale) 23] John Wick: Chapter 3 – Parabellum (Sofia) 24] Charlize Theron Head in the Clouds (Gilda Bessé) 25] North Country (Josey Aimes) 26] The Burning Plain (Sylvia) 27] Hancock (Mary Embrey) 28] Prometheus (2017 The Cinema edition) Meredith Vickers) A Million Ways to Die in the West (Anna Barnes-Leatherwood) 29] Mad Max: Fury Road (Imperator Furiosa) Dark Places (Libby Day) 30] Atomic Blonde (Lorraine Broughton) 31] Rosario Dawson 25th Hour (Naturelle Riviera) The Adventures of Pluto Nash (Dina Lake) Men in Black II (Laura Vasquez) 32] Sin City (Gail) Seven Pounds (Emily Posa) 33] Unstoppable (Connie Hooper) 34] The Captive (Nicole Dunlop) Sin City: A Dame to Kill For (Gail) Hilary Swank Boys Don't Cry (Brandon Teena) 35] The Affair of the Necklace (Jeanne de Saint-Rémy de Valois) Insomnia (Ellie Burr) Million Dollar Baby (Margaret "Maggie" Fitzgerald) The Black Dahlia (Madeleine Linscott) 36] P. S. I Love You (Holly Kennedy) 37] New Year's Eve (Nurse Aimee) 38] I Am Mother (Woman) Jessica Biel The Texas Chainsaw Massacre (Erin Hardesty) 39] Blade: Trinity (2007 TV Tokyo edition) Abigail Whistler) Home of the Brave (SGT Vanessa Price) I Now Pronounce You Chuck and Larry (Alex McDonough) 40] Valentine's Day (Kara Monahan) 41] Total Recall (Melina) 42] Cobie Smulders The Avengers ( Maria Hill) 26] Delivery Man (Emma) 43] Captain America: The Winter Soldier (Maria Hill) 44] Avengers: Age of Ultron (Maria Hill) 45] Jack Reacher: Never Go Back (Major Susan Turner) 46] Avengers: Infinity War (Maria Hill) 47] Sandra Bullock The Lake House (Doctor Kate Forster) 48] Extremely Loud & Incredibly Close (Linda Schell) 26] The Heat (Sarah Ashburn) 49] Ocean's 8 (Debbie Ocean) 50] Bird Box (Malorie Hayes) 51] Michelle Monaghan Eagle Eye (Rachel Holloman) 52] Machine Gun Preacher (Lynn Childers) 53] The Best of Me (Amanda Collier) Pixels (Lieutenant Colonel Violet Van Patten) 54] The Vanishing of Sidney Hall (Velouria Hall) 55] Elizabeth Banks The 40-Year-Old Virgin (Beth) Slither (Starla Grant) 56] Role Models (Beth Willett) 57] Definitely, Maybe (Emily Jones) 58] The Next Three Days (Lara Brennan) 59] 3 Ninjas: High Noon at Mega Mountain (Jeffrey "Colt" Douglas (Michael O'Laskey II) Alien vs. Predator (Alexa Woods ( Sanaa Lathan. 60] Alita: Battle Angel (Gelda ( Michelle Rodriguez. 61] Alvin and the Chipmunks: The Squeakquel (Jeanette ( Anna Faris. 62] Anatomy (Gretchen ( Anna Loos. 63] Andromeda (Andromeda Ascendant, Rommie ( Lexa Doig) Angel-A (Angela ( Rie Rasmussen. 64] Annie (Miss Colleen Hannigan ( Cameron Diaz. 65] Another Life (Niko Breckinridge ( Katee Sackhoff) The Astronaut's Wife (Nan ( Clea DuVall. 66] Bad Boys II (Special Agent Sydney "Syd" Burnett ( Gabrielle Union. 67] Battlestar Galactica (Lieutenant Kara "Starbuck" Thrace (Katee Sackhoff. 26] Blindspot (Remi "Jane Doe" Briggs ( Jaimie Alexander. 68] Bruce Almighty (Susan Ortega ( Catherine Bell. 69] The Cave (Charlie ( Piper Perabo. 70] The Chronicles of Riddick (Jack / Kyra ( Alexa Davalos. 71] Contagion (Elizabeth Emhoff ( Gwyneth Paltrow. 72] Crazy, Stupid, Love (Robbie ( Jonah Bobo. 26] Dark Kingdom: The Dragon King (Brunhild ( Kristanna Loken) The Dark Knight ( Rachel Dawes ( Maggie Gyllenhaal) Day of the Dead (2020 Blu-ray edition) Dr. Sarah Bowman ( Lori Cardille. 73] The Departed (Dr. Madolyn Madden ( Vera Farmiga. 74] Devour (Dakota ( Dominique Swain. 75] Diary of the Dead (Debra Moynihan ( Michelle Morgan. 76] The Faculty (Stokely "Stokes" Mitchell (Clea DuVall. 77] Falling Skies (Anne Glass-Mason ( Moon Bloodgood. 78] The Family Stone (Julie Morton ( Claire Danes. 79] Fast & Furious (2011 TV Asahi edition) Letty Ortiz (Michelle Rodriguez) Frankenfish (Eliza ( K. D. Aubert. 80] G-Force (Juarez ( Penélope Cruz. 81] Game of Thrones (Cersei Lannister ( Lena Headey) Gamer (Angie "Nika" Roth Tillman ( Amber Valletta. 82] Gia (Gia Carangi ( Angelina Jolie. 83] Girl, Interrupted (Georgina Tuskin (Clea DuVall. 84] The Golden Compass ( Serafina Pekkala ( Eva Green. 85] Gone Girl (Margo "Go" Dunne ( Carrie Coon. 86] Gotham (Maria Mercedes "Fish" Mooney ( Jada Pinkett Smith) Harper's Island (Abby Mills ( Elaine Cassidy. 26] Hawthorne (Christina Hawthorne (Jada Pinkett Smith. 26] Heidi (Rottenmeier ( Katharina Schüttler. 87] Hellboy (Liz Sherman ( Selma Blair. 88] Hellboy II: The Golden Army (Liz Sherman (Selma Blair. 89] Henry's Crime (Julie Ivanova (Vera Farmiga. 90] Hwang Jini ( Hwang Jini ( Ha Ji-won. 26] Indiana Jones and the Kingdom of the Crystal Skull ( Colonel-Doctor Irina Spalko ( Cate Blanchett) Jay and Silent Bob Strike Back (Justice ( Shannon Elizabeth) John Q. (2007 NTV edition) Denise Archibald ( Kimberly Elise) Just like Heaven (Elizabeth Masterson ( Reese Witherspoon. 91] Limitless (FBI Special Agent Rebecca Harris ( Jennifer Carpenter) The Lord of the Rings: The Two Towers (Éowyn ( Miranda Otto) The Lord of the Rings: The Return of the King (Éowyn (Miranda Otto) Man on Fire (Lisa Ramos ( Radha Mitchell. 92] The Matrix Reloaded (Niobe (Jada Pinkett Smith. 26] The Matrix Revolutions (Niobe (Jada Pinkett Smith. 93] A Mighty Heart (Mariane Pearl (Angelina Jolie. 94] The Monkey King 2 (Guan Yin ( Kelly Chen. 95] Night at the Museum: Secret of the Tomb (Sacagawea ( Mizuo Peck) Obsessed (Lisa Sheridan ( Ali Larter. 96] Pepper Dennis (Pepper Dennis ( Rebecca Romijn. 97] The Perfect Guy (Leah Vaughn (Sanaa Lathan. 98] Personal Shopper (Lara (Sigrid Bouaziz. 99] Phone Booth (Kelly Shepard ( Radha Mitchell. 100] Pirates of the Caribbean: On Stranger Tides ( Angelica (Penélope Cruz. 101] Police Story (2012 Ultimate Blu-Ray edition) Selina Fong ( Brigitte Lin. 102] Primeval (Aviva Masters ( Brooke Langton. 103] Prison Break ( Sara Tancredi ( Sarah Wayne Callies. 104] 105] Private Practice ( Charlotte King ( KaDee Strickland. 26] The Protector (Laura Shapiro (Saun Ellis. 106] The Purge (Mary Sandin (Lena Headey. 107] Railroad Tigers (Yuko ( Zhang Lanxin. 108] Rampage (Dr. Kate Caldwell ( Naomie Harris. 109] REC (Ángela Vidal ( Manuela Velasco. 110] REC 2 (Ángela Vidal (Manuela Velasco. 111] The Recruit (Layla Moore ( Bridget Moynahan. 112] Ring Around the Rosie (Wendy Baldwin ( Jenny Mollen. 113] Roman J. Israel, Esq. (Maya Alston ( Carmen Ejogo. 114] Scott Pilgrim vs. the World (Ramona Flowers ( Mary Elizabeth Winstead. 115] Secret Garden (Gil Ra-im ( Ha Ji-won. 26] The Secret Life of Bees (June Boatwright ( Alicia Keys. 116] The Seeker: The Dark Is Coming (Will Stanton ( Alexander Ludwig. 117] Shark Lake (Meredith Hernandez ( Sara Malakul Lane) Shaun of the Dead (Liz ( Kate Ashfield. 118] Shiri (Lee Myung-hyun/Lee Bang-hee ( Yunjin Kim. 26] Skiptrace (Dasha ( Eve Torres. 119] Snakehead Swamp (Carley ( Terri Garber. 120] A Sound of Thunder (Jenny Krase ( Jemima Rooper. 121] Star Trek: Enterprise ( T'Pol ( Jolene Blalock. 26] Stick It (Haley Graham ( Missy Peregrym. 122] S. W. A. T. (Captain Jessica Cortez ( Stephanie Sigman. 123] Taxi (Lieutenant Marta Robbins ( Jennifer Esposito. 124] Terminator 3: Rise of the Machines (2005 NTV edition. T-X (Kristanna Loken. 125] The Thing (Kate Lloyd (Mary Elizabeth Winstead. 126] Third Person (Monika ( Moran Atias) Thirteen Ghosts (Kathy Kriticos (Shannon Elizabeth. 127] Trash (Gardo (Eduardo Luis. 128] The Tuxedo (Steena ( Debi Mazar. 129] V. I. P. (Vallery Irons ( Pamela Anderson. 130] Weird Science (Lisa ( Kelly LeBrock. 131] White House Down (Carol Finnerty (Maggie Gyllenhaal. 132] Zombieland: Double Tap (Wichita ( Emma Stone. 133] Animation [ edit] Bionicle 2: Legends of Metru Nui (Nokama) Buzz Lightyear of Star Command (Mira Nova) Epic (Queen Tara) 134] Ferdinand (Lupe) 135] Joseph: King of Dreams (Asenath) Kung Fu Panda 3 (Master Tigress) 136] Mars Needs Moms (Milo's Mother) 137] Meet the Robinsons (Franny) My Little Pony: Equestria Girls (Vice Principal/Princess Luna) My Little Pony: Equestria Girls – Rainbow Rocks (Vice Principal Luna) My Little Pony: Friendship Is Magic (Nightmare Moon, Princess Luna (ep. 30 onward) My Little Pony: The Movie (Princess Luna) 138] Puss in Boots (Kitty Softpaws) 26] Turbo (Paz) 139] Kōtetsu no Vandetta (Taiki Kisaragi) References [ edit] "バイオハザード. Star Channel. Retrieved May 6, 2019. ^ バイオハザードII アポカリプス. Retrieved May 6, 2019. ^ ウルトラヴァイオレット. Retrieved May 6, 2019. ^ バイオハザードⅢ. Retrieved May 6, 2019. ^ ＴＨＥ ４ＴＨ ＫＩＮＤ フォース・カインド[吹. Retrieved May 6, 2019. ^ パーフェクト・ゲッタウェイ[吹. Retrieved May 6, 2019. ^ バイオハザード IV アフターライフ. Retrieved May 6, 2019. ^ ストーン[吹. Retrieved May 6, 2019. ^ フェイシズ（２０１１）. Retrieved May 6, 2019. ^ バイオハザードＶ：リトリビューション. Retrieved May 6, 2019. ^ バイオハザード：ザ・ファイナル. Retrieved May 6, 2019. ^ 記者たち 衝撃と畏怖の真実. Twin. Retrieved August 7, 2019. ^ ヘルボーイ 4K ULTRA HD + Blu-ray. Happinet. Retrieved February 2, 2020. ^ 【ファンが選んだ第１４位】００７／ダイ・アナザー・デイ. Retrieved May 6, 2019. ^ ゴシカ[吹. Retrieved May 6, 2019. ^ Ｘ－ＭＥＮ２. Retrieved May 6, 2019. ^ キャットウーマン［二］. Retrieved May 6, 2019. ^ Ｘ－ＭＥＮ：ファイナル ディシジョン. Retrieved May 6, 2019. ^ パーフェクト・ストレンジャー［二］. Retrieved May 6, 2019. ^ クラウド　アトラス. Retrieved May 6, 2019. ^ ザ・コール　緊急通報指令室. Retrieved May 6, 2019. ^ Ｘ－ＭＥＮ：フューチャー＆パスト. Retrieved May 6, 2019. ^ 中村悠一＆田中敦子ら新参戦！『キングスマン』吹替に木村昴＆森田順平が続投. Cinema. Retrieved December 11, 2017. ^ 映画『ジョン・ウィック：パラベラム』. Twitter. Retrieved December 25, 2019. ^ トリコロールに燃えて［吹］［Ｒ−１５］. Retrieved May 6, 2019. ^ a b c d e f g h i j k l m n "本田　貴子　（ほんだ　たかこ）. The Cinema. Retrieved February 23, 2019. ^ あの日欲望の大地で. Retrieved May 6, 2019. ^ ハンコック. Retrieved February 22, 2019. ^ 荒野はつらいよ ～アリゾナより愛をこめて～. Retrieved May 6, 2019. ^ ダーク・プレイス. Retrieved May 6, 2019. ^ アトミック・ブロンド. Retrieved May 6, 2019. ^ メン・イン・ブラック２. Retrieved May 6, 2019. ^ ７つの贈り物[吹. Retrieved May 6, 2019. ^ アンストッパブル. Retrieved March 12, 2019. ^ ボーイズ・ドント・クライ. Fox Japan. Retrieved March 6, 2019. ^ ブラック・ダリア. Retrieved May 6, 2019. ^ Ｐ．Ｓ．アイラヴユー［吹］. Retrieved May 6, 2019. ^ ニューイヤーズ・イブ. Retrieved May 6, 2019. ^ テキサス・チェーンソー［吹］［Ｒ−１５］. Retrieved May 6, 2019. ^ チャックとラリー　おかしな偽装結婚！？［吹］. Retrieved May 6, 2019. ^ バレンタインデー. Retrieved May 6, 2019. ^ トータル・リコール（２０１２）. Retrieved May 6, 2019. ^ 人生サイコー！. Disney Japan. Retrieved May 5, 2019. ^ キャプテン・アメリカ／ウィンター・ソルジャー. Fukikaeru. Retrieved February 23, 2019. ^ アベンジャーズ／エイジ・オブ・ウルトロン. Retrieved February 23, 2019. ^ ジャック・リーチャー　ＮＥＶＥＲ　ＧO　ＢＡＣＫ. Retrieved May 6, 2019. ^ アベンジャーズ／インフィニティ・ウォー. 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Retrieved March 5, 2019. ^ ザ・シーカー　光の六つのしるし［吹］. Retrieved May 6, 2019. ^ ショーン・オブ・ザ・デッド. Retrieved May 6, 2019. ^ スキップ・トレース. Retrieved February 23, 2019. ^ 殺人魚獣　ヘビッシュ. Retrieved May 18, 2019. ^ サウンド・オブ・サンダー. Retrieved May 6, 2019. ^ スティック・イット！［吹］. Retrieved May 6, 2019. ^ S. Season 1. Retrieved May 18, 2019. ^ ＴＡＸＩ ＮＹ. Retrieved May 6, 2019. ^ 「(吹)ターミネーター3[日本テレビ版. Retrieved February 22, 2019. ^ 遊星からの物体Ｘ　ファーストコンタクト. Retrieved May 6, 2019. ^ １３ゴースト. Retrieved May 18, 2019. ^ トラッシュ！―この街が輝く日まで―. Retrieved May 6, 2019. ^ タキシード（２００２）. Retrieved May 6, 2019. ^ V. Season1. Retrieved May 18, 2019. ^ ときめきサイエンス. Retrieved May 6, 2019. ^ ホワイトハウス・ダウン. Retrieved February 23, 2019. ^ ゾンビランド：ダブルタップ. Retrieved November 18, 2019. ^ メアリーと秘密の王国. Retrieved May 6, 2019. ^ フェルディナンド. Retrieved April 22, 2019. ^ カンフー・パンダ3. Retrieved May 18, 2019. ^ 少年マイロの火星冒険記3D. Retrieved February 23, 2019. ^ 映画マイリトルポニー　プリンセスの大冒険. Retrieved February 23, 2019. ^ ターボ. Retrieved May 6, 2019. External links [ edit] Official agency profile (in Japanese) Takako Honda at Anime News Network 's encyclopedia.

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SE ACTIVA DÁNDOLE UN LIKE. Product details Genres Thriller, Action, Comedy, Crime Director Adil El Arbi, Bilall Fallah Writer Peter Craig, Peter Craig, George Gallo, Joe Carnahan, Chris Bremner, Joe Carnahan Stars Will Smith, Joe Pantoliano, Vanessa Hudgens, Alexander Ludwig Country USA Also Known As Os Bad Boys III, Bad Boys Para Sempre, Băieţi răi 3, Bad boys for life, Pahad poisid 3, Pasele vyrukai amziams, Bad Boys: Mindörökké rosszfiúk, Bad Boys For Life, バッドボーイズ　フォー・ライフ, Bad Boys Navzdy, Bad Boys 3, Những Gã Trai Hư Trọn Đời, Bad Boys para siempre, Zločesti dečki 3 Runtime 2 h 3 min Audio Subtitles Quality 480p, 720p, 1080p, 2K, 4K Download thriller «Bad Boys for Life» Customers who watched comedy also watched.

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That editing is genius. Kudos to Brian Vannucci, the editor

I would love to see will Smith in the nee mission impossible like as the villian. Good boys: exists) Bad boys: im going to ruin this whole mans career. Preparation Installation Mecab: Gensim: Text Data Set Morphological Analysis import MeCab mecab. mecabrc ' print. 今日もしないとね. 今日 名詞, 副詞可能. 今日, キョウ, キョー も 助詞, 係助詞. も, モ, モ し 動詞, 自立. サ変・スル, 未然形, する, シ, シ ない 助動詞. 特殊・ナイ, 基本形, ない, ナイ, ナイ と 助詞, 接続助詞. と, ト, ト ね 助詞, 終助詞. ね, ネ, ネ EOS Load Data �[34mdata�[m�[m �[34mkaden-channel�[m�[m �[34msports-watch�[m�[m �[34mlivedoor-homme�[m�[m �[34mtopic-news�[m�[m �[34mmovie-enter�[m�[m �[34mdokujo-tsushin�[m�[m �[34mpeachy�[m�[m �[34mit-life-hack�[m�[m �[34msmax�[m�[m import os import re from pprint import pprint # Load text data, docs. dir_paths... data/dokujo-tsushin. data/sports-watch " for dir_path in dir_paths: for filename in stdir(dir_path) if filename. path. dir_path, filename) split with /n two times so there will be three sublines and we get the last one doc = open (path. n. 2. 1] remove what we don't need doc = mpile. n. doc) doc = mpile. u3000. doc) docs[filename. doc names = list. print. Docs num. len (names) Docs num: 1770 Build Corpus コンピュータによる検索が可能になっている大量の言語データのこと. Convert Documents To None Series import numpy as np def tokenize ( text) とりあえず形態素解析して名詞だけ取り出す感じにしてる node = rseToNode(text) while node: if. 0. 名詞 ' yield ( node = def get_words ( contents) 記事群のdictについて形態素解析してリストにして返す ret. for k, content in. (get_words_main(content) return ret def get_words_main ( content) 一つの記事を形態素解析して返す return [token for token in tokenize(content) docs_to_words = get_words(docs) print ( len (docs_to_words) print ( len (docs_to_words[ 0] print ( len (docs_to_words[ 1] 1770 126 143 Build Dictionary from gensim import corpora dictionary = corpora. Dictionary(docs_to_words. data. print. Vocabulary before filtering. print (ken2id. d words. len. n ' Vocabulary before filtering... { 汚れ' 11416, 群馬' 3687, イノベーション' 15673, 高学歴' 7801, 候補' 3216, マスキング' 15866, コートダジュールグルメツアー' 20503, 男児' 11871, とぐろ' 19838, 日' 28, 遠足' 11212, 不仲' 23657, ミル' 8507, 読売ユース' 17970, ハンドボール' 20634, ゴスロリ' 15209, オフシーズン' 5535, ノバク・ジョコビッチ' 13003, ヘルシーレシピ' 12544, 査日' 2759, 四季' 8114, 奥田' 23236, ｊｒａ' 16343, カレ' 4876, 荒' 11887, ビッグコミックスピリッツ' 3322, 世論' 12867, コノ' 12830, 入ろう' 17165, サク' 16868, 上役' 11775, 忘れ物' 7355, らち' 20504, リエコ' 14610, 火' 21475, 絵柄' 6289, 給付' 19020, オフィスエムツー' 702, 心置き' 17778, 大辞泉' 21660, 持ち寄り' 5401, damien' 10355, 仲間入り' 10510, モテシーズン' 18492, 原' 4117, 備蓄' 19566, 溺愛' 16986, 冥福' 4233, 仁丹' 19084, australian' 16493, お呼び' 17424, 飛行' 4681, 東海大' 8912, ユニバーサル・ピクチャーズ' 11112, コケッコー' 12168, 牽引' 7606, ざま' 19078, nike' 20764, ローズ' 10409, ディフェンダー' 9803, 使い捨て' 18267, 富士山' 5928, 茶飯事' 7639, 川島' 13, ゾ' 8659, salsa' 22740, ベビーシッター' 18516, 心外' 10515, セリエ' 12885, 陳述' 10908, 迎' 3534, 上手' 4717, しおり' 21204, 劣勢' 13004, 達者' 4719, アウトレットモール' 5947, 度肝' 12110, 耐え' 17142, 済み' 7475, ツートップ' 22010, ブログ' 3898, 今井' 14318, 時代' 207, 水着' 1368, カステラ' 10135, 天井' 890. ）”「' 12394, 藤木' 5290, モノマネ' 10817, 脂' 9090, 志' 10633, 裕福' 1130, 麗美' 2284, 有力' 9195, 744' 9178, 1976' 17086, 25' 167, 正広' 12068, 博美' 8500, オーガズム' 14413, 狸' 9641, ごと' 1754, 248' 13833, 角川' 4901, 不快' 235, ハーフタイム' 17811, ケーキ' 7200, 夏場' 1992, スッパ' 13156, 頭上' 15625, 花沢' 23086, 差別' 2707, 貞淑' 20463, 堪能' 7477, オープントゥ' 9952, チョン・テセ' 14339, 粋' 7092, 一塁' 15995, 声明' 6260, バディ' 16422, 天空' 4680, ラブコミ' 22570, ひろみ' 8503, 足取り' 21807, 人柄' 6528, 神殿' 9379, 三宅' 6800, 一部始終' 20026, メルセデス' 19410, パシリ' 22206, 広角' 21059, しょうが' 4322, 冷水' 18901, 角度' 8993, 陰陽' 12673, ヒュルリ' 19678, 断り' 19218, フェス' 22046, 圭一' 13054, 江夏' 15609, ヨコ' 5825, 返済' 8667, 3056023' 21996, プレミアリーグオランダ・オープン' 4833, 研修' 3546, ロマコメ・ムービー' 13404, 疲労' 8133, 効果' 2019, イラダチ' 20274, 大橋' 10774, ガラケー' 11483, いし' 10182, 保健' 7953, 辞職' 14832, 総額' 5080, 反抗' 13725, 夜空' 14104, スゴ' 8309, フェットチーネ' 21554, エレガンス' 10004, 2973032' 17334, 惚気' 21938, 要素' 3378, ワナ' 14862, コンセプト' 3639, 子孫' 8870, コ' 2404, 下品' 3895, 澤登' 10262, 明言' 18887, サプライズプレゼント' 17727, 彼ら' 6661, 兄弟子' 12584, 一挙' 22418, 直後' 917. 」' 16005, 暴言' 2291, エリンギ' 19201, 獣医' 14752, スキン' 8560, 街路' 13932. 5531, 秀之' 10609, ハンティング' 20963, 090' 11539, イクメンプロジェクト' 2937, 田野' 14781, お客様' 2567, 家計' 11239, ルールズ・ガール' 16750, 退会' 16401, フィッシュオイル' 9242, ビューティフルハッピー' 11075, ソフトバンクホークス' 2090, ホルモン' 571, 公一' 6735, ポケモンサワー' 18365, アデレード' 3940, 必需' 8940, 近頃' 6423, 前人未到' 17835, 紆余' 17850, 抑え' 23228, マジメ' 14102, フォトギャラリー・エリザベータ・トゥクタミシェワ' 12897, 片っ端' 10404, century' 1101, 小谷野' 23632, 54' 641, イズミ' 1936, 実' 1732, フォトギャラリー・アリソン・ストーキー' 20907, 学研' 14838, 風貌' 19241, ソッポ' 211, アリゾナ' 3760, 光沢' 13228, ノマド' 9591, 封鎖' 18775, ホイップクリーム' 19210, 重み' 5113, 人脈' 16882, 急ぎ' 13745, アツ' 4006, 保身' 16177, 立証' 16279, 速度' 4306, 同額' 22062, アンタ' 4379, 調剤' 9026. ■' 5766, 忠夫' 23130, マグネット' 22326, 受精卵' 4038, 神秘' 10410, 水' 1256, 念' 11602, スプリング' 16680, 百貨店' 9426, ばらつき' 17026, 心境' 4402, 風土' 9885, 詰め合わせ' 9780, つまり' 2198, クリィミーマミ' 21910, セクシャルウェルビーイングサーベイ' 11643, 勘' 4530, ダメンズ' 19240, 水森' 12405, 品定め' 11215, 行事' 7357, 高年' 6935, ドキッ' 13576, イケシオ' 7391, 中学生' 3852, 発破' 20778, テンパリスト' 20791, 法政大' 18936, さじ' 10669, 薄着' 1909, シイタケ' 16848, ガセ' 16791, 長距離' 2718, マリーゼ' 13031, クリーミー' 10328, エステティシャン' 8921, 悶々' 1250, 人員' 2906, 知覚' 19681, 特許' 18297, 誤解' 5146, ウサギ' 5093, 助監督' 16780, 構築' 3702, 方式' 6525, キャル' 16514, 威嚇' 21486, 香美' 11179, ノーベル' 21690, 抜群' 5023, シュート' 3447, 外装' 19863, フェイス' 7584, タブレット' 9455, 連覇' 7629, バファローズ' 5012, 舞台裏' 10102, 特定' 3817, 一長一短' 3540, ヤヨイ' 18467, 有数' 11866, 孝憲' 23420, 落球' 19388, 体系' 7495, りさ子' 15305, 貴一' 8216, 新名' 17127, リリーフ' 13973, 学術' 19557, 暑がり' 3107, 裂肛' 17766, マギー' 10699, アメ' 15233, 国分' 15898, 第一生命保険' 19906, 金曜日' 16107, シゲルイエヤス' 14889, 同上' 9814, コットン' 1767, 1492' 22365, ハーフ・デイズ' 10764, サラウンド' 14174, 駆け引き' 11117, パーティー' 1552, 興味' 726, 岡田' 1210, リプブレイク' 16280, サプライズイベント' 17728, 肌荒れ' 4047, ラスト' 4666. 』' 8682, 既婚' 636, ガタガタ' 3504, そこのけ' 18260, 激増' 14740, レディー・ガガ' 17262, 奇術' 9100, ラブラブモード' 21113, ufc' 6569, 誰' 151, 米国' 5838, まつ' 4068, 絵文字' 5532, 小見川' 20071, レフティ' 12122, 自責' 8754, 警笛' 7773, 一息' 2880, 走者' 18211. 」' 22243, 建太' 7642, エンゲージリング' 22396, カート' 7743, ナインティナイン・' 13104, セリフ' 1134, チヂミ' 15520, 堅実' 3861, 数行' 16542, ５月' 10463, トキ' 8391, 些細' 1394, 集英社' 2145, 旅費' 1920, 助' 20027, プロテクティブ' 13227, 成功' 1861, 遊び場' 11180, ツッコミ' 5292, ぬくもり' 20338, テキサス・レンジャーズ' 12790, 移り気' 20377, るみ' 17540, 浦和' 8830, ジダン' 12425, ヌリ' 10694, 潮干狩り' 5951, ラッシュアワー' 22124, 思い入れ' 6494, 驕り' 21535, 気疲れ' 21663, ジル' 23438, バリバリッ' 22552, 進出' 2732, 虫酸' 18690, アイウェア' 21578, city' 12383, ストロベリー' 10613, 鮨' 17583, 召集' 12819, ジェノバ' 19132, manga' 12162, 淳司' 18863, 退路' 14237, going' 3044, 自粛' 1429, ホモ' 21283, 目当て' 6039, 主導' 2850, 形' 10186, 人材' 5197, 減退' 19076, 秘話' 20271, ヌル' 23319, 栓' 16592, 年金' 4952, 充子' 15810, 生地' 9089, バラ' 8249, 追随' 19996, ランプ' 19406, 検診' 3786, 読後感' 16317, ㎏' 16308, 礼子' 21527, 村田' 13873, マリオ' 13145, 小野田' 23308, なに' 4779, 人的' 18878, 530' 23532, ブラントン' 18154, はつ恋' 22410, 壮快' 23096, 麗子' 20708, ミニチュア' 21365, 場合' 483, 弁舌' 22011, ワイルドカード' 16126, サイクリング' 16435, プロキオン' 15932, スリップ' 23381, 決戦' 14815, 禍' 1292, 台東' 12354, 仮説' 17476, キムヨナ' 19988, アリエン・ロッベン' 14813, 血圧' 9975, 庫' 7284, 具志堅' 23613, のり' 14948, ラグビー' 11090, テラス' 20405, 全盛' 20510, ノゾミ' 10028, チャネリング' 12923, 水産' 15506, 宮下' 22132, 品目' 8877, 催促' 7885, 柘榴' 22535, ジャイアント' 7637, 別離' 13301, スッピン' 11853, シノ' 22821, tsg' 23479, 乃' 10962, 色直し' 18573, 諸悪' 18723, 体質' 3782, 美穂' 10350, 初夏' 20260, 左' 3008, 過剰' 3079, 日陰' 17035, いろいろ' 1417, 怠け者' 18157, 便利' 1764, ハリー' 7561, 捨離' 9581, 日夜' 21362, ルイ・ルプレ' 19147, 村井' 21031, 森山' 6429, 紐' 13804, 理科' 15929, hawks' 22724, 悪質' 1518, 67' 5939, さいたま' 6460, 番' 2385, きしょう' 17281, 奇異' 15216, オッパイ' 12956, 症例' 19957, バテ' 2011, スケーター' 14317, 突破' 5705, ハーゲンダッツ' 16099, 人殺し' 10235, マメ' 5252, フミ' 8405, 商工' 15294, 知良' 12482, 副腎' 18318, 貴方' 8095, 水溶' 10675, おんぶ' 1617, 佑美' 9322, 睦美' 14327, 園子' 1694, 倦怠期' 2292, 言いなり' 4805, マスコミ' 5841, 腫れ' 14607, オシム' 19780, らく' 23230, コンディショナー' 11745, ガード' 4156, 高度' 20190, 思わせぶり' 7086, 五感' 14257, ペディキュア' 9950, 府中' 23423, オヤツ' 21209, カネ' 11960, 男性' 389, 患者' 4467, ｃａｆｅ' 12951, 憧憬' 13892, super' 10973, 篠田' 15647, ルーツ' 1218, あたし' 3858, c' 1099, マリン・チリッチ' 12469, コチラ・' 22723, 主唱' 16577, オールスター' 3478, 絵里香' 9745, キムチサワー' 18374, フリル' 13790, 腹痛' 11675, ブレス' 21359, 不自由' 8663, 起爆' 16895, 大神' 22516, 翻弄' 9728, 菓子' 8677, 司令塔' 4081, 謁見' 12362, 調節' 3120, 陥落' 14144, 裾' 6192, 胸中' 2132, 保明' 9722, ハト' 19875, 同級' 16403, 王' 2536, 肝心' 13853, コレクターズ・ボックス' 21391, 悪魔' 4539, 旅行' 1392, 正反対' 5304, サミット' 7653, ストーン' 4507, 院' 3775, ザ・フレンドリーマッチ' 22997, ベースボールマニアックス' 23192, 今朝' 19946, 節約' 701, 政治' 156, 提出' 7471. ´' 8565, 風当たり' 11258, feg' 13577, 赤ワイン' 15961, ヒッツメ' 7015, 宮田' 13573, 奈穂美' 6828, アナウンサー' 2387, アホウ' 6353, 左手' 6432, うし' 21677, おしゃべり' 6462, 一足' 15876, 好き嫌い' 11720, mmvi' 15737, シネクイント' 1671, ジェルシート' 1785, ユニバース' 17248, 出兵' 18435, 前身' 3733, 050' 17309, inc' 1380, 一目瞭然' 18620, お薦め' 6596, 信' 12985, 砦' 10401, バッシング' 2186, サバンナ' 9988, 間取り' 15067, 事件' 1440, キャンペーン' 8553, レイコ' 17530, 策略' 23549, 全体' 134, 一昔' 996, 疾走' 9186, 曜' 12651. 」' 8692, テレム' 21875, ディア' 10423, メモ' 325, 嶋' 5310, 同属' 18175, 敗退' 41, きよみ' 6319, 計' 10453, チャンス' 1012, 不用意' 14911, ライター' 3901, さらし者' 12816, 多大' 6952, 乗鞍' 9680, シェアリング' 2919, 半身' 22453, サーパー' 19844, 10' 755, コショウ' 19203, もより' 17014, 女の子' 2219, 論議' 4400, 健やか' 18852, cruising' 13427, カスタマイズ' 5517, アーユルヴェーダ' 20756, スターティング' 20145, 出荷' 20451, 汚物' 22266, 次男' 9569, くり' 2901, 一' 779, ことば' 10623, くせ' 1322, 貴宏' 21961, 衛生' 11281, 足らず' 7936, エニス' 12434, 我が国' 10376, ソフトドリンク' 20416, メソッド' 13958, 相乗' 22411, tbs' 95, ミニスカート' 7198, アロマグッズ' 23117, 紙上' 23450, ホノルルセンチュリーライド' 16117, 絶品' 18394, 子宮' 692, こいつ' 5244, 規定' 5073, 国立' 952, いつか' 863, ぎこにしても' 18997, 違和感' 1941, 頓着' 22557, 塁' 6634, 統計' 8779, かたち' 9876, お守り' 11806, 会報' 20484, 悪ふざけ' 6107, ジェントルマン' 9703, エリコ' 9551, 諺' 14227, 局面' 4518, 圭子' 4077, 逆手' 15694, お上' 17280, チヒロ' 7887, 秀人' 7656, フィレ' 17685, 性分' 10029, グロー' 3664, 兵役' 11879, 島田' 5615, 斉藤' 5074, バハマ' 23402, 芳子' 6405, 脱臼' 5069, ゴメス' 13134, 改姓' 19807, 素顔' 4821, ロッテ' 9914, 得' 5323, ふりがな' 22461, 他愛' 7085, シャツ' 5336, 明解' 11809, 星空' 15911, 幻想' 731, フルーティ' 11759, なつこ' 17644, 神業' 11414, 留守番' 7368, 反比例' 10560, 若年' 15715, バレバレ' 18574, 天敵' 12325, 詠' 17488, カーク・ダグラス' 18546, 重宝' 11579, 小宮山' 22352, 良質' 5494, ごま' 11776, 東京書籍' 9660, チョイス' 9148, 勇蔵' 20813, 量販' 4726, フィルムパートナーズ' 1725, 貴男' 15448, ？」. 15152, エドワード' 19736, コテージ' 1623, 住人' 4483, 百万長者' 1154, おと' 17636, 真っ白' 7825, 小学校' 1236, おおっぴら' 12156, 温暖' 9372, イス' 18584, 求婚' 17065, イトマン' 14426, 長考' 14231, 知代' 7170, コーナーキック' 22008, 105' 8251, ハズ' 10638, キャプチャ' 20482, 屁' 11042, 裾模様' 11582, 梨花' 12178, 未來' 6407, 火の粉' 17264, 自ら' 3510, 肉じゃが' 15958, ソロ' 21340, 話し声' 18180, 冬期' 21933, おんなの子' 22585, 圭' 91, ユーラシア' 21008, 原石' 6809, 775' 15285, 判断' 4145, 一喜一憂' 1729, お供え' 15830, 田中' 7598, 長靴' 17037, ブルーカラー' 6046, 消炎' 17762, 株' 3326, 内縁' 19806, 雪煙' 10489, 薔薇' 5891, 始動' 8209, 幕切れ' 7670, 美奈子' 6979, こづかい' 12146, インド' 12408, がん' 18470, かく乱' 21617, チェッカー' 5174, 部費' 11098, 独占' 218, 美波' 22155, 返上' 17090, ワイヤード' 11364, ヴォーカル' 6175, マンチェスター' 4293, メダリスト' 5059, ファ' 13200, 麻紀' 8354, マネージャー' 9563, フレンチネイル' 9002, 名産' 9764, レッドダイヤモンズ' 8812, フルサス' 13335, 電' 13753, 言い方' 2638, 無我' 20530, 苦笑い' 2403, 南吉' 10136, 弁論' 23610, ナナメ' 18612, ストール' 13460, 前川' 23290, こども' 2092, 手' 4957, 行く手' 23586, 遭遇' 5381, 交換' 3589, 住職' 23101, ナス' 3077, 島津' 17485, 乗り気' 13451, スケール' 9224, 熱心' 3988, 不要' 2458, コーヒー' 2869, macamaca' 23351, 神奈川' 16049, ポリシー' 7393, バーチ' 21568, ky' 18530, fw' 4357, 554' 19104, ガキ' 19818, 顰蹙' 10728, コンテンポラリー・アート' 9383, 仮定' 17918, 秘書' 9518, 制定' 16927, 琴海' 9139, 口口' 11531, 即席' 5514, 宏保' 10506, ミルウォーキー・ブルワーズ' 5534, 50' 2711, 未曾有' 19660, 分析' 6982, スキンケアアイテム' 8540, 周到' 11983, カー' 4265, 疎外' 14513, 慎' 10881, 不慣れ' 16971, 可奈子' 4140, どよめき' 14787, ゴツ' 5649, 202' 20857, 磁石' 19551, 格闘' 4251, なりふり' 11313, 移住' 14077, ヒステリック' 18734, エンターブレイン' 21010, ブラウン' 2523, プリマベーラ' 17976, 増幅' 21740, ナン' 10475, マゾヒスト' 9528, マ' 9223, 麻季' 7600, 手順' 9165, ダイアリー' 20446, 骨太' 7942, 仲人' 8887, プレーヤー' 6031, 五輪' 37, 反応' 2189, ラム' 17308, 油分' 9080, 至上' 3013, ツーショット' 14897, karate' 4840, ゴールデンイーグルス・' 3497, 74000' 8079, ジンズ' 20389, 89' 17134, 決め球' 7159, 410' 22926, セリーナ・ワグネル' 10831, ジョー' 6017, 防止' 3111, テルヴィス' 5777, 順序' 15675, ガーフィールド' 11425, 実物' 20098, デジカメ' 11498, official' 22729, 結論' 5730, 一部' 3667, オシドリ' 22696, 食材' 3100, 十' 613, パスポート' 3254, 只' 4566, おもちゃ' 15355, 極貧' 9826, 偏食' 20595, 回答' 2407, ヤンキース' 18882, 牡馬' 14868, 手づくり' 14500, 方言' 21262, ギタリストマーティ・フリードマン' 10967, かんぽ' 20129, ナイト' 9375, イタ' 3661, ディスコ' 19467, 意地' 6400, 小姑' 19967, 標的' 18120, ふし' 18041, マジ' 4091, 淀殿' 14682, 軽口' 22092, 近況' 4878, 朝食' 11398, 堀川' 11344, history' 16492, 骨折' 7224, 横山' 8819, 遠慮' 7310, 130' 5789, 美香子' 13983, ファウル' 8757, 嫁さん' 1939, 洪水' 6245, ceo' 21575, light' 22483, ニューハンプシャー' 10217, 森崎' 7291, 栽培' 8183, 岡村' 13483, 高野' 9200, 天女' 23530, 小学' 4648, ケース' 1846, 人気者' 17628, ズバッ' 3753, 連合' 10756, チェン' 17568, ポリス' 11073, 追放' 16184, 谷田' 20994, 文体' 18712, 便秘' 4045, 不自然' 4397, ランジェリー' 13807, ラッキーアイテム' 11805, 敬之' 19674, 辻褄' 21656, 園芸' 17031, 破談' 15193, 甚大' 1409, リメイクドラマ' 22313, 根っこ' 11508, 発見' 3252, ハンカチ' 3893, ボブ' 6876, 利用' 2942, 竹内' 12501, 明' 818, 逸材' 2281, ミナ' 14585, コラボ' 5397, 疑心暗鬼' 10034, 関の山' 16066, 和裕' 20066, 温か' 21924, 助長' 20155, ワードワイズ・ウェブ' 9480, 貂' 12457, 2011' 1427, 開腹' 8792, ミスターガンバ' 17129, 柘植' 19482, スーパーカートリオ' 22985, デパ' 16869, 帰り道' 1313, 吉木' 10950, 訴求' 18824, 米' 3301, さまざま' 1267, カップル' 992, 東京学芸大学' 21704, 遠征' 10430, 油断大敵' 9932, 現存' 10659, 虚無' 22940, 扇' 21962, 筈' 8753, ウツ' 5725, 奔走' 3971, マレーシア' 10742, soccer' 7031, ichiro' 15004, 創設' 20671, 自慢' 5251, ボラ' 21121, 回路' 11687, メロディー' 22648, 一掃' 14238, スローガン' 2116, 消毒' 1824, 木子' 10690, 無意味' 10366, 英男' 23145, 替わり' 8181, ケイエイチ' 5881, 興業' 10534, 名所' 14323, 人好き' 10048, 無謀' 10242, 銀行' 4959, スウェーデン' 3041, 空' 4641, 救済' 9817, ぬいぐるみ' 7803, むら' 4033, 読本' 21719, 太' 7861, ジブリ' 13705, ンクエスト' 22350, 柴崎' 9806, 小林' 4847, 独り暮らし' 7190, la' 1080, 何' 74, ゆすり' 347, 前線' 10709, 永久' 16178, 懸命' 13204, ワコール' 13122, ボトムス' 11737, マイナス' 1273, ゃいけないのかわからないし' 16124, 滞在' 9359, その他' 197, 庶民' 14271, 急上昇' 10610, 慎吾' 12071, bc' 21444, 心臓' 7989, 重量挙げ' 7832, 陶酔' 11948, 哲生' 3448, ソル' 14828, 旧家' 11593, sale' 16188, こぼれ' 17453, 桁違い' 2127, はり' 18591, ファースト' 6060, 薬丸' 23656, バーディ' 21979, 紋' 10926, キョウカ' 15336, フィアンセ' 11334, 大杉' 21914, 遊興' 19095, 同志' 9506, 日頃' 2076, ナタリー' 7546, 触媒' 19545, 勘弁' 9429, 呼び声' 19451, 023' 23073, abelia' 21574, ヌシャーテル' 16259, wbc' 4178, 肩' 1349, 野尻' 20372, 上段' 10542, 育子' 14842, 海岸' 6249, 受け手' 17815, 入籍' 7143, イングリッド' 17461, エリート' 4439, 宗' 11623, モムチャンダイエットストレッチング・' 8939, 昌枝' 11370, スポンサー' 6818, 労' 2932, うどん' 21630, 堕胎' 16509, 毛糸' 12980, 浅村' 23628, ウン' 6561, レイプ' 20494, 国旗' 6074, 西武' 2818. 」（' 14311, 火曜' 22416, モ' 18626, カワ' 4143, 奇跡' 2331, くま' 10951, 他所' 7175, 反日' 22746, 我々' 2705, x' 3842, えひめ' 15279, 正利' 23306, セッター' 8349, そりゃあ' 1189, 材' 5518, 省エネ' 20364, カット' 676, 泰幸' 10814, 活躍' 87, 入会' 10403, スペンサー' 19290, ポット' 20984, 屈辱' 5048, 斎藤' 2367, スキャンダラス' 10724, 批判' 1505, パーマ' 11048, 難癖' 21162, レフ' 3588, ケネディ' 22223, 後の祭り' 2310, 橋口' 948, 狂想曲' 23467, キュウリ' 3085, パ・リーグ' 3472, 顧客' 8949, 高' 3640, 読' 18474, 国会' 12838, 翌月' 11748, 愚か' 20457, 適応' 19049, 逆転' 4105, 故意' 14921, 母子' 1046, アサヒ' 6090, 辰夫' 1303. 」（' 262, ヒューマン' 4451, 街角' 14899, づっちに' 11961, 真っ暗' 1323, アミノ酸' 23356, 拠り所' 19748, まなみ' 273, 失敗' 274, 下' 604, フレーバル' 10153, 898' 13002, 処罰' 23553, 廃物' 10677, セクハラ' 7897, マーケット' 4303, 優柔' 17716, zentropa' 16285, 偕成社' 10126, 上海' 12254, 千金' 13766, 裏腹' 11565, 引き' 4911, コード' 10003, 健太' 8418, 礼拝' 2577, 暗示' 4516, 松山' 6779, 滑り出し' 7215, 触れ込み' 16428. 」' 22537, アロマテラピー' 20746, ｆｒａｕ' 17255, 登壇' 13357, 正一' 21671, ぎやはぎは' 15634, 無地' 8873, 開業' 5976. 」「' 13965, コース' 4595, 説教' 3489, 飛鳥' 2584. 18005, わな' 16959, 一挙両得' 19714, 父様' 12050, 読売' 2078, 雄一' 7202, 444' 8097, グレード' 3615, お次' 7019, 発信' 5138, コレクター' 18135, おば' 7901, なか' 1246, 中絶' 21051, ひな' 1938, 野暮' 14215, 更年期' 11397, 024' 23093, イクミ' 9560, 表示' 3226, 戦友' 10932, 武尾' 3699, ガシガシ' 14325, 立候補' 12175, 一説' 16795, 小生' 15128, 衣替え' 9940, 筋' 4347, クノール' 11697, ガラ' 9098, まとまり' 19188, イケメンセレブ' 10597, 身' 22498, 梓' 6831, テーピング' 12285, 内祝' 22054, デイヴィス' 21383, ぎこち' 16527, スキンシップ' 14898, 飴色' 15965, チサト' 11151, チクショー' 20668, 迷惑' 5918, アラート' 20102, 豊' 6587, カ国' 6737, ヴェストファーレン' 20699, イケメンカメラマン' 13090, 地点' 13091, こまめ' 16266, ヒマワリ' 22649, 宮間' 8362, シゲルタカウジ' 14845, 順天堂大' 11851, 様々' 1253, 発言' 12, 紀彦' 18285, ツナ' 19170, だいたい' 2923, これ' 141, 伝え' 19267, 町' 1444, 時勢' 22786, 自営業' 5643, 沈み' 20850, article' 6942, ユカコ' 16479, ヘルパー' 19870, ヤスコ' 13744, 細か' 21021, kelly' 19648, 資金' 4945, 表彰状' 18935, 総会' 20483, 大叔母' 16916, 猛虎' 8474, ——' 3333, ナウ' 4682, モバゲーベイスターズ' 10748, 上目遣い' 22936, レザー' 7704, 和食' 16850, コントロール' 2371, travel' 22743, キット' 12938, 野沢' 15595, 絵はがき' 19434, 真ん中' 5548, 建て' 4946, 田口' 4485, ”. 11113, ３つ' 875, スティーブン・ジェラード' 14812, シゲルカカリチョウ' 14891, 産院' 15409, 高良' 22244, 転' 15187, 証' 6348, 菓子パン' 233, 野手' 3418, 実り' 4510, オラクルカード' 4505, ヴ' 16384, 224' 22030, 喝采' 4363, 織姫' 14099, 薄給' 9832, —' 8110, 大晦日' 6886, ウィルス' 20079, 力量' 6272, 姉妹' 2585, 幾ばく' 21435, 柱' 12406, マグプレゼント' 16276, タニタ' 8161, ケースバイケース' 17232, 長谷部' 36, あいまい' 11677, 見分け' 17619, 78' 7812, ラサール' 20210, 有名ブランド' 18406, デフォルト' 14396, シホ' 4678, サンジャポ・ファミリー' 19030, 暴力' 1173, スリット' 19997, お祝い' 5246, 跳馬' 5561, でき' 4919, テンション' 4816, ブラリ' 13074, ガレージ' 9658, イマドキ' 7583, ヘッドコーチ' 3944, 学士' 4459, sport' 4228, 新刊' 10480, 攻略' 17558, 真菜' 19961, シャンパン' 11752, 上半身' 5153, ユアテック' 21336, 天然' 2393, 焼肉' 2391, ホンマ' 13847, 中距離' 2237, liga' 22497, 本田' 133, ラクダ' 18759, journal' 2810, 右手' 15257, シルバー' 11804, 酒井' 12959, カーヴィダンス' 9616, 市原' 21032, 雌花' 17030, 一周' 8093, 喫茶' 5905, 乗り逃げ' 15590, 余震' 1931, ヴェルディ' 5612, 別居' 11269, ゼミ' 17594, 四六時中' 21972, factory' 15410, タイムリーツーベース' 23151, 山陰' 6690, トワイライト・サーガ' 19725, デーブ' 15455, ルーキーズ' 9206, 親族' 6139, 過小' 19970, 美浜' 20428, 勃発' 7571, 長洲' 20858, 待ち' 3553, hahaha' 16822, 余計' 6401, ジョージ' 7747, ニシン' 11922, わらしべ' 20051, ひょっと' 3113, 緻密' 10348, 列挙' 4107, 真っ向' 3660, 動画' 6645, 追い風' 4714, オフィス' 910, 餞別' 11974, ファブリーズ' 21137, 歓送' 3568, ウォズニアッキ' 20000, 最年長' 3292, 弱気' 19969, 木目' 23113, 先駆け' 5772, 所' 1402, 無神経' 12370, 光男' 8746, 49' 9143, 排尿' 18761, 音響' 19547, 停滞' 21668, ストップ' 1206, 気品' 9492, コンフェデレーションズカップ' 15624, 騎手' 1494, shame' 18150, 胃薬' 9048, 三つ指' 15121, 保留' 17508, 左利き' 11723, 狙い' 5533, 外回り' 2650, プロサッカーリーグ' 13066, 商社' 3050, 忠君' 10257, 技量' 21185, 見逃し' 8744, 受精' 8770, 盾' 8194, 手ごたえ' 4016, 化粧直し' 21599, パット' 1776, 上っ面' 19501, ベッキー' 19626, 複' 20283, ケジメ' 9441, スル' 22334, スクラッピン' 22735, ずる' 6055, 律' 21676, カロリーナ・コストナー' 17935, 教員' 12674, 純真' 11688, 船' 10333, 解明' 7455, フリ' 6366, 紙幣' 22559, 怠り' 611, 偶然' 9435, ジェイデビットカード' 18797, フードコーディーネーター' 9073, 石巻' 4248, アプリゲーム' 20090, マンゴー' 11660, 瘤' 7952, ハイヒール' 17580, ピッチャー' 2505, 聡' 2860, universal' 18945, 粗悪' 18278, 癪' 11689, 人間' 1355, お陰' 9620, フォーマル' 20118, チェ・ガンヒ' 17921, 夫人' 1035, 君が代' 17492, 交流' 2356, 功' 14957, ヤバ' 9916, 合戦' 3016, 実況' 6867, キャリック' 9268, ナインティナイン' 13488, 中途' 18692, 颯爽' 12785, 追っかけ' 13749, コスメティックス' 13231, ナツコ' 696, がむしゃら' 1734, ニューヒロインスウェーデン' 13710, 酒豪' 18338, 2035' 14267, ペイ' 4994, チアリーディング' 18950, 売店' 11302, 白内障' 18706, カラー' 504, ブーツ' 5250, ライン' 597, オセアニア' 10374, ラニエリ' 19788, 事務職' 3134, セクシーアイコン' 16774, 梅村' 8666, プレイボーイ' 10825, 強打者' 14712, 主義' 7738, 接客' 4811, グイ' 14235, ポタリング' 13401, 腰' 5056, 老い' 7004, 促進' 5426, ホノルル・センチュリー・ライド' 9667, 翻訳' 10144, お墨付き' 17751, 最愛' 4443, 域' 576, 泰' 14728, フランス語' 15744, グローバルフラワーカンパニー' 10427, 茄子' 8542, 手いっぱい' 14453, パルテノン' 9365, ツライ' 8235, 反面' 14479, ムラ' 13216, 咲子' 22534, ed' 7977, 略' 8881, 戦法' 14922, ダテマスク' 12041, 腕' 4267, 郁夫' 15538, シータ' 4697, 作曲' 6185, スムーズ' 5208, 主力' 7519, ヒザ' 4639, 森本' 13536, 稀代' 6020, 植田' 14694, 修道' 22292, 所沢' 17764, ゴム' 12796, エガオヲミセテ' 14846, アリーナ・レオノワ' 17937, レディ' 23465, 大器' 16427, 復職' 23260, 低減' 11533, 女児' 7467, 情事' 7957, ワイルド' 18003, 自己' 524, 重要' 633, 育' 23274, 梱包' 13633, 勲章' 21866, ヒケツ' 19051, 静観' 19523, 無難' 3714, 友章' 1294, 楊貴妃' 11523, ユフネ' 15134, アマチュア' 2687, ドロップ' 14914, win' 22502, ピッチングコーチ' 11713, ショート' 5679, 名士' 17259, 平手' 15462, 丸出し' 9683, たいがい' 1629, 玄' 22581, ふだん' 9946, バッドカンパニー' 19826, 西東' 3354, 気分' 907, 粼' 4486, バッグハードワーク' 16588, 空き' 9169, ライフワーク' 10449, 最多' 5860, 宮城野' 21417, 教習所' 20055, 杉谷' 23222, 家宅' 19851, 岩山' 19517, プライム' 20636, 登竜門' 10603, フケツ' 341, ハハコ' 6932, 激闘' 12266, 査' 21361, 独特' 8848, 中公新書' 23316, 折角' 15771, 恒和' 21745, ただし書き' 15698, 部活' 6585, アクアソムリエ' 17120, 勇退' 7863, アイライン' 23584, スピリット' 21577, 文通' 17806, カロリー' 1875, 配布' 12948, オフ' 8728, 華子' 9624. （' 21193, ゴボウ' 10660, 佳恵' 6233, 寸前' 8411, 個' 1779, 瞳' 7620, 歳暮' 22066, 美智子' 4447, 評論' 213, 従者' 19644, p' 6610, ダメ押し' 20270, 俐亜' 17533, あけすけ' 3918, キム・キャトラル' 21393, セイコ' 10897, 字' 605, 栄美' 12928, 湿布' 1793, 810' 15861, 買い取り' 13636, 不死' 19010, 器' 1135, リニャレス' 6902, シゲルシテンチョウ' 14849, 卵' 3804, 全域' 16903, 同局' 4188, ニヤ' 15745, 目撃' 384, セカンドレグ' 20695, 川面' 13345, 蔵' 13261, 満天下' 13767, 地団駄' 7423, かゆみ' 637, ローラー' 8200, オモシロ' 14567, 平日' 1327, 雄花' 17022, 死球' 18213, 氷' 2052, 広沢' 396, 単純' 1175, 枚挙' 6005, イベント' 463, 福岡' 2114, エリザベス' 10302, キューバ' 17924, 161' 19118, インタビュアー' 16975, ファッッション・チェック' 19634, アラサー・アラフォー' 5898, アーチスト' 19470, 競馬' 1492, 302' 8336, 通話' 13752, イタチ' 9124, 逮捕' 15591, おまけ' 3827, 持ち家' 12612, 美佐江' 17618, ユイ' 17188, 弘和' 16006, 以降' 508, 記者' 2535, ビッチ' 3857, 燃費' 16373, ハズキ' 22948, オナニー' 7437, スランプ' 14371, 総理' 5739, どん' 17919, 不幸' 9508, 誤差' 20147, ハエ' 22804, 悪人' 18109, トートバッグ' 15855, 海老蔵' 21404, ストーカー' 7862, 謳歌' 933, 段階' 1985, シモネーゼ' 9659, 宛先' 6339, pta' 13726, レオタード' 17263, クスッ' 7121, 大助' 17792, 山岸' 16301, 項' 11188. 〜' 9996, 河口' 20825, トップクラス' 10654, ピンチ' 4096, ダイエット' 1876, ロバート' 17463, エディオン' 11854, メジャー' 3462, 次郎' 23167, 会話' 1949, レコーディング' 22976, オバさん' 11194, 発祥' 19630, 遠回り' 13306, ホームラン' 4109, 下り坂' 18638, ステーション' 4195, セブン' 7288, 災い' 11811, 師' 4454, ざきひろかず' 10148, 小柳' 22253, 衆議院' 12833, タカヒコ' 8257, 線審' 12467, 多面' 11263, 淳子' 278, サニーレタス' 19165, 嘉' 23344, belle' 20972, 花色' 10411, ボーイ' 4361, ドナー' 7843, ローラ' 17464, 213' 22704, コミュ' 10963, 再開' 10417, ロングライド' 22775, 撃退' 16805, 血筋' 10178, 席' 6395, ハッピーエンド' 7308, トゥー・ラバーズ' 19144, キャンドル' 6515, 遅延' 19297, ハンター' 21047, 遠藤' 3430, fq' 14524, ガーリックペッパー' 17665, 文香' 22108, 小便' 8593, 隅' 5352, 明かり' 888, ニオイ' 315, ジミ' 12741, 所以' 763, 田淵' 11968, アーティスト' 1124, ディフェス' 20862, 我' 6126, penny' 22051, 冶' 22178, 前方' 22264, メイクアップブランド' 13984, 松嶋' 5140, プライオリティー' 2296, フジサンケイクラシック' 21415, ヒゲ' 9923, 強み' 13080, 挫傷' 17290, 三楽' 4527, 大袋' 10071, 共通' 525, 山々' 19137, パニック' 18454, ケイン' 23457, オスカー' 10672, むちゃ' 22672, りつ' 9668, ジンジャー' 2062, 隆裕' 11827, ダメージ' 585, 観戦' 2832, ファンコミュニティサイト' 13748, 唄' 14214, カクカクトクトクフェア・' 16376, 厳命' 13553, 土曜日' 3558, テレ' 6695, 懐疑' 11893, 列島' 837, モーニング・ツー' 17009, プチイケメン' 9881, バル' 15250, 妊娠' 542, コタツ' 7397, 知らせ' 6329, 兵器' 7470, 排便' 9049, パキスタン' 17079, プロ' 976, イズミール' 9390, 名良橋' 17555, だし汁' 12540, 拡了' 15363, レイモンド・ブリッグズ' 10150, マッキー' 19676, 春風' 19839, 自警' 14266, メソメソ' 8660, ログ' 20150, ミカエル・ワトキンス' 7839, 作家' 4147, 剛志' 5230, ティー' 2037, 開帳' 16453, 28' 386, チエコ' 21945, 同月' 20897, 思いつき' 19664, 受講' 4601, モデルスマートフォン' 22977, 婦人' 3794, お茶漬け' 20438, 外' 1004, ナビ' 19056, 淳' 5264, エアロプレイン・イングランドサッカー' 9281, 端っこ' 10324, 藤井寺' 19346, １月' 7409, やけ酒' 22527, ルーレット' 22495, 交互' 4675, 午後' 3176, 吹奏楽' 15471, 脳波' 7514, 天気' 2661, 茨' 14015, 伊賀' 14698, 学費' 10866, 決め方' 15719, 泉谷' 16575, 担' 21553, 鉄棒' 19902, 風味' 5443, 一家' 1612, ライフログノート' 20849, 奥手' 5915, 洋一' 1476, ダッフィー' 15844, 自衛隊' 13023, あおり' 20080, 幸恵' 9852, ザラ' 6041, 皆さま' 3674, 喜び' 5127, ドリンク' 1848, 5500' 16498, 上級' 18511, 防備' 15081, 最大限' 7051, お洒落' 8061, スワン' 8040, 前者' 9018, ltd' 12706, 慶' 21500, 理論' 5986, 配属' 2647, 柔軟' 5576, 多岐' 6377, ウォッチング' 21268, 鈴' 18257, ダイブ' 10502, 密葬' 6530, 牛肉' 15949, ミュージックビデオ' 22251, シェービング' 589, 年賀' 6321, 本流' 20985, 前科' 6086, 読み手' 3991, 子生' 8866, 松中' 18091, さわり' 22842, 素振り' 6015, supported' 2012, キラー' 7041, マグニチュード' 4255, メタ' 14276, 仕草' 267, 苦難' 7383, テレビ朝日' 4173, 借金' 2346, 腰痛' 10558, 本庄' 4492, 簿' 8483, 要' 6715, 口座' 4937, ひと回り' 16074, 静子' 6574, つば' 7925, 金髪' 16530, ローブ' 13618, いか' 456, 年' 8622, キロ' 2541, トルコ' 9362, おじいさん' 6118, なめこ' 22838, タウリン' 12249, 警察' 13917, エクスチェンジ' 5376, 大当たり' 23598, 151' 7820, 浜' 8935, 無我夢中' 1714, 造り' 19984, 南里' 12519, 不細工' 17912, 特番' 13088, 野球' 220, 比較' 3390, 牝馬' 14866, 慎重' 1008, gdp' 21921. 7139, 09' 5349, 黒人' 10495, 一挙手一投足' 7774, about' 4973, ニカラグア' 19429, 介助' 3268, 無頓着' 21093, 一刀両断' 5309, 一人っ子' 3818, 身震い' 19816, 共倒れ' 17993, 当初' 900, 言い過ぎ' 17410, アシュトンカッチャー' 7144, 折り紙' 4852, 短時間' 8973, ｃａｐｉｔａｌ' 10532, 気勢' 14758, 平子' 17321, ベルメゾン' 9175, 濃口' 20899, kamio' 23058, 猛威' 18497, 屁理屈' 15198, モルモット' 3219, pk' 6006, サイドバック' 10883, 年版' 13599, 補充' 5710, ケニー・フロリアン' 6906, アイタタタ' 22472, 一過' 8371, パイプ' 13657, bump' 10960, 収集' 1398, ６月' 2059, ヴォーカリスト' 21899, チェダーチーズ' 15043, 歩' 4021, まり子' 22014, 社内' 938, 打ち合わせ' 2640, 昼夜' 20130, あゆみ' 8640, 香水' 5591, 片道' 13124, 激高' 1511, 回避' 4635, 変形' 16981, 皮革' 17860, タロット' 8423, ？. 19383, 貴美子' 22015, 全容' 11987, びん' 18413, リスペクト' 6599, ゼクシィ' 8898, 製作' 4471, メダリスト・キム・ヨナ' 14602, 虚弱' 3822, 柏' 15013, 安房' 10133, あきらか' 8001, プレイヤーオブザイヤー' 17475, 清純' 11840, データ通信' 20560, 業' 11964, 裕貴' 15704, まりこ' 4440, 330' 20160, 2971329' 23375, きん' 5469, 刻み' 22877, 性格' 514, spazio' 23188, モリスエ' 5550, 賞' 1587, そり' 621, サツキ' 6412, スベスベ' 13224, モスグリーン' 22699, 一方向' 21850. 』' 18535, 逆風' 2193, 糖分' 10058, 珍事' 20643, 和仁' 19903, みか' 18271, 人身' 20375, bild' 10820, コンドミニアム' 17710, 有終の美' 5115, 院長' 4065, キーラ・グレイシー' 4862, シゲルヒラシャイン' 14863, 日もち' 9783, 主人' 7097, 論' 3936, 取っ手' 12937, 歌詞' 6167, ハンバ' 21216, ラズベリー' 11655, 笠原' 22188, 発想' 913, london' 3838, 製法' 22027, 1903' 22669, アラーム' 13760, 科学' 6268, 〟' 15300, ignitus' 5875, サンマ' 14052, ch' 17947, 広喜' 5037, viva' 20061, ヴァンパイア' 19740, ピープル' 10650, 刑法' 12863, 木田' 9474, カーヴィーダンス' 9619, バームクーヘン' 9765, 呼吸' 6920, スイング' 2419, 匂い' 410, お粗末' 22089, 福永' 1503, カーブ' 5981, 演劇' 10406, 落ちこぼれ' 3511, 婚姻' 12849, 答え' 3512, カレン' 3980, イチャ' 19114, 急須' 21802, 痛恨' 13314, パラサイト' 19321, 思い' 782, 雨水' 21086, ストックトン・アリーナ' 19109, 主題歌' 7329, 軽食' 18790, 貴浩' 5621, 農' 9475, 貧乏' 248, 漢方薬' 3792, 制服' 4544, 205' 20854, デビュー' 3004, 溝渕' 14201, リファイニング' 13240, ヒヤヒヤ' 7883, ファスナー' 15875, ウェイ' 10344, 狼' 18254, 押し出し' 19534, 不摂生' 13114, 朋子' 5168, 有村' 13526, 将士' 14013, 学' 2474, 電気' 771, 満期' 4981, 憑' 9665, 基準' 4154, オリジナリティー' 13480, ストーブ' 8471, 4000' 14464, ボム' 23084, ホーリーホック' 21037, 失禁' 22953, 度目' 1371, 仲居' 18556, 街頭' 20528, 東洋' 9071, 人々' 1684, アプリユーザー' 22433, 邦画' 13410, マニア' 3659, 統' 15907, 飛球' 23179, girl' 19632, ドライブデート' 23650, 一切' 3485, ぶん' 1436, tbstbs' 22042, ヤン' 14561, argo' 18057, 声優' 2487, ベビー' 8359, 北島' 529, パート' 3167, ぶっきらぼう' 13981, アメトーーク' 13440, 売主' 15371, 毎朝' 2773, kids' 22737, 見え' 9971, 1296' 13502, リツイート' 1525, 皆様' 495, ゴルゴ' 20790, 身分' 19738, 心配' 122, ともみ' 23426, 1000' 2133, 西田' 16369, 歌' 4701, 介添え' 22691, 修子' 12091, 終了' 1479, ウェールズ' 23413, フベニール' 23661, マコ' 3577, カナダ' 515, 秀実' 10522, 立ち往生' 22349, 103' 5076, 接近' 14896, 千早' 18885, シネマズ' 11428, 縁' 2586, 霊感' 689, 有給' 2933, モータースポーツ' 13179, ロ' 10367, 駒' 11353, ワンタッチ' 5415, 蓄電' 22843, トコ' 9810, 重' 5298, ベストテン' 8616, アクション' 4859, 1979' 20204, 連名' 19250, 単語' 7903, 清楚' 8059, 大正製薬' 15076, スタンディングオベーション' 15406, 盲目' 15223, ペンギン' 22967, 腕前' 17845, 正当' 10625, 火ぶた' 19994, ためし' 22033, 白' 2743, 本木' 23663, パジャマ' 19081, 短パン' 13607, 定時' 4403, 良好' 6397, ｗｗｗｗｗｗ' 9454, ホヤ' 8065, お家' 11754, 初' 2683, 野心' 23043, 目鼻立ち' 4536, ショートプログラム' 12904, 中' 7, 古風' 4455, 清' 11, 視聴' 6863, インフィニスクール' 18829, 内海' 11576, 巨大' 4252, 船上' 16639, ネット' 492, 徳川' 2580, げん' 8258, 合図' 10445, 昼下がり' 20422, 林道' 13344, サンガ' 10281, キラメキ' 15920, 仕打ち' 22861, 奇妙' 22153, いい加減' 8212, レアローズ' 10922, 射撃' 8355, 普遍' 23538, 駄々っ子' 18381, 摩訶不思議' 5803, ゃもじを' 5505, 真野' 18780, 他家' 11584, 動き' 2954, 制度' 2945, カピバラ' 3275, 肩身' 2918, 真木' 13433, オールナイターズ' 23040, 自慰' 8032, モラハラ' 2343, 参院' 2544, 72' 4377, 何時' 14208, 業務' 10551, ベルリン' 16168, gw' 18699, 有線' 19799, デスブログ' 22077, australia' 12680, 蘭子' 9925, ネーム' 17519, 制覇' 11842, 心機一転' 4909, 林家' 17783, 気概' 13939, ベルナルド' 20447, 正恵' 22093, 火事' 6012, 細密' 18890, ピリ' 21823, ニット' 8514, ビビット' 19610, 成瀬' 23636, 敷地' 11137, クラ' 13596, 出走' 20157, もってこい' 5863, 早寝' 13458, フルコース' 20498, ファストフード' 18044, しだい' 7449, 熟慮' 22636, 安泰' 21946, 立ち会い' 21886, セビージャ' 15019, 工事' 18030, 親方' 10604, 芽キャベツ' 8129, おばさん' 6438, 役者' 10784, しゅうき' 21523, 広美' 23401, 充満' 11926, 女装' 11255, ホット' 2703, 耳ざわり' 18393, ダーククルセイド' 14283, 棒' 2282, 面接' 11603, くす玉' 19958, 鳥取' 6713, しあわせ' 4526, プラス' 5367, school' 14195, 無料' 2103, 173' 10892, ℃）' 20808, 弔辞' 6502, 流' 9887, 見まね' 20058, 訓練' 11872, 開口' 19380, グラデーション' 18578, 5200' 5933, 製作所' 15135, 渋滞' 23649, ミソ' 13424, 失笑' 3924, 下腹部' 8789. 17752, ワークブック' 22978, ポプラ社' 20298, 一昨年' 493, キリンチャンレンジカップ' 16678, サプライズゲスト' 17421, 緑茶' 18725, かをり' 16536, usc' 23148, フィールド' 11510, 折り紙付き' 20762, 両立' 4603, ケツ' 11913, 球筋' 21411, 包容' 8269, 澤' 3025, ベーコン' 17673, 以南' 18223, 77' 7488, 球界' 212, フル' 4830, 戦争' 10992, マイティモー' 18357, 百花繚乱' 7481, 紀世子' 14331, 発車' 17790, 極秘' 7597, 不動産' 9556, 身一つ' 15098, 010' 15435, 多佳子' 21322, 控え' 22171, 不成立' 4258, 就業' 4579, llc' 10767, ポイン' 22214, 怒号' 13519, へそ' 5143, 朝方' 18411, 可能' 780, 無防備' 14714, 飼い主' 19436, 悲劇' 7221, インコース' 5982, 須藤' 4915, 既' 2915, 愛犬' 3228, 西日本' 14076, インスタント' 17393, 合点' 17812, 見地' 14411, 鷹狩' 14668, ペコ' 17008, presented' 420, 人事' 4770, ポーランド' 6021, セミ' 11392, 修正' 4590, 遣い' 7711, final' 17194, なん' 947, 利点' 18785, ピカ' 16171, 周遊' 20333, ａｋｂ' 15650, 百恵' 22208, 忠信' 22154, プロジェクトリーダー・ドニャチーニ' 7509, ヒモ' 23234, 見せ場' 8443, 陵' 5098, 婦' 8876, 現実' 959, net' 5444, バチスタ' 4415, クレーマー' 23313, 急変' 1361, wwwww' 15551, プライス' 13284, 不気味' 17900, どまり' 15777, まま' 364, 浮遊' 12273, モンスター' 14949, 陣痛' 14627, hdd' 18876, 急性' 15512, スコールズ' 9282, 今田' 21156, 発売' 176, 寒波' 21622, 芽衣' 21427, 先陣' 12418, 偏執' 19487. 5256, 関連' 126, ウェイト' 4822, 大方' 9964, 特質' 9516, 愛子' 11266, 小花' 9010, 内もも' 7435, スターズ' 19309, ヘキサゴンブーム' 15485, 畳' 7173, 年間' 2104, 純子' 11170, 高み' 13566, タカコ' 7360, 矢' 10243, 配慮' 2051, 血尿' 21530, マルクス' 10394, 骨身' 1944, イチゴ' 5498, 陽平' 14300, 男の子' 1038, フルモデルチェンジ' 19400, 晴れ' 7758, キック' 160, ２月' 7402, 美術館' 13086, 課程' 14455, 香取' 12076, 理恵子' 6446, 一丸' 5117, レール' 821, 習性' 16743, ワースト' 11625, 化け' 15106, 調査' 388, 破局' 8576, 副産物' 788, 病気' 1815, 試算' 6839, 砂羽' 19697, ナルシシズム' 23194, 難解' 22796, メロメロ' 15490, ｋｙ' 690, 婚' 1160, レシャック' 17206, 用語' 4963, 訴訟' 14599, 今夏' 1897, 離脱' 11833, 悪夢' 8044, 美冬' 18659, 久美子' 1439, 清' 18024, 持ち主' 6453, 給湯' 11213, とんねるず' 12113, 誇らしげ' 15232, 春日' 15930, 憶測' 16185, 大胆' 6004, アリスター・オーフレイム' 17192, クイック' 3483, 理系' 8513, 会見' 2555, ユーロ' 6014, バンクス' 16555, 崩れ' 6675, ミユ' 19208, 万歳' 19959, クールダウン' 20472, トレーニング' 3040, 戦績' 19427, 高山' 15547, 同化' 2351, 郊外' 6473, 有り様' 22519, 序列' 4747, ムリ' 11275, プレミアムロール' 7274, クサビ' 19015, 南野' 22150, 罰則' 14986, こんど' 21400, サバ' 5468, 躊躇' 3778, 矢面' 20667, サイゼリア' 20654, 日本ハム' 3413, 寄付行為' 14461, 同好' 6364, ｗｗｗｗｗｗｗｗ' 6861, バッファ' 22616, そりゃ' 15247, ミン・ヨングン' 13198, 由利' 22036, 本' 469, 途端' 5257, 矢野' 4551, 中級' 17034, 一風' 7645, 悲痛' 6823, 春菜' 22961, アトラクション' 22211, 1990' 13584, 伝説' 6745, ステイタス' 4139, タラソワコーチ' 12902, 嘘' 4223, 前後' 4609, 導入' 5064, デルピー' 14534, 茶せん' 20989, 内幕' 216, 麻布' 21485, デニム' 11818, 畠' 15234, ボトル' 5693, ウェブサイト' 9267, 由香' 6250, ペチコート' 19266, バービー' 20759, 消滅' 6819, アシスト' 4374, 先行き' 1475, スケスケ' 15786, 無碍' 18981, 財前' 17967, 代謝' 3060, オカン' 8265, ハリーポッター' 10206, グッドイヤーボールパーク' 3746, ガー' 9236, ゆたか' 17296, アキコ' 7005, 宮参り' 18197, 廣' 8855, 157' 19117, 筋力' 3000, ポッ' 21851, etc' 3538, 雲の上' 16736, マルチリンガル' 19456, ワールドカップ' 6558, 立ち話' 18028, 胎児' 3779, カラーラインアップ' 11480, 雑煮' 2605, きな粉' 21236, zune' 12274, にんじん' 19367, color' 22385, 宮地' 20631, レ' 5689, アスレチック' 16148, 公' 8243, 信念' 12055, コンテンツ' 13777, 会談' 16237, バンド' 6189, 謙次' 20028, 行き止まり' 15357, コラムニスト' 5322, 豊玉' 21130, ロマン' 13898, ウエンツ' 17190, くらくら' 3560, 急降下' 20716, アディダスジャパン' 16069, チェーン' 7688, レタス' 22890, 鉢植え' 9790, ｄｒｅａｍ' 10547. ］' 6081, 借り手' 13267, 実行' 7855, 名前' 1691, 瑠偉' 131, 酷使' 6211, 言い伝え' 21097, 女医' 4046, 文部' 6266, デカスロン' 12432, 紙芝居' 7560, 善人' 12017, 実践' 1877, 歌い手' 19791, 呆け' 21380, パバーノ' 5675, 子羊' 21256, 弘子' 19221, 岩渕' 7612, 美' 1906, 美保子' 16890, しずく' 18265, 軽やか' 6193, レッズ' 9297, コンプレックス' 3865, 食生活' 3055, 一人暮らし' 1828, ニーズ' 4999, ラメ' 20415, 誘' 20468, 針供養' 21867, dvd' 7321, ヒドイ' 9955, 彰布' 14540, 山洋電気' 16734, 曾祖' 2620, 趣味' 498, ゴツロリ' 3037, フェラガモ' 10017, 良品' 18455, 犯' 5364, 親' 548, さとる' 19022, エッセンシャルオイル' 18843, 克美' 13797, 博物館' 23165, 宇佐美' 4834, 値上がり' 12617, 謙' 6740, 地道' 2433, まんが' 19489, 車' 237, 何人' 7800, お礼' 5422, 乳房' 7445, エスカレーター' 10843, わきの下' 22130, 御礼' 16058, ワタ' 9015, ニケツロデオグランプリ' 18952, 愛息' 5227, 前記' 9517, 2895549' 18648, ヨレヨレ' 9938, 梅田' 11085, リードオフマン' 21382, トロ' 7910, スネ' 17649, 日本テレビ' 1569, 孝太郎' 20922, 入学' 6734, ジャパン・トライアウト' 16906, 胃酸' 2777, 日記' 9304, 脇' 5709, ダッシュ' 2513, 厄払い' 21544, 名実' 16355, 背中合わせ' 21199, ビューティ' 10517, 細' 17647, match' 12190, 北九州' 23608, お隣' 7570, 宏子' 23102, 同行' 7886, 入れ物' 19666, 穀物' 15436, 在国' 12262, 難読' 13158, 皺' 9758, コッソリ' 22824, 表現' 1699, 教材' 3137, まあ' 21968, 充分' 10384, 焼却' 10275, 厳守' 3166, ビフィズス' 15077, ハムファイターズ・ダルビッシュ' 11626, 輪ゴム' 21481, ニコール・キッドマン' 16298, カウンセリング' 8600, 大損' 20709, 取り' 8733, 五郎' 18980, 参戦' 4288, 彼岸' 11138, パドレス' 3756, アンバランス' 13888, ホステス' 13881, 重々' 17325, プライオリティ' 11059, ブーイング' 6552, 有希子' 22681, 一色' 2112, 解任' 11346, フィトンチッド' 19510, 毎日新聞社' 10535, to' 4906, 楽観' 10850, イッ' 7452, 巨塔' 22302, 試し' 894, 引き落とし' 4983, 年季' 22998, 言語道断' 3559, 美和' 6770, 激減' 968, フレンズ・ウェディング' 15263, デジタル・トゥデイ' 19296, 野次馬' 22477, 吉井' 21844, ハラコレ' 7119, コク' 12552, ♥」' 22937, さわやか' 2744, 店舗' 911, 坂井' 19306, ギア' 11518, チェック' 334, 立山' 5038, 丁寧' 559, 野郎' 7674, しこり' 12015, アダム' 8804, 図書' 10137, わき' 12742, 一流' 3488, 煌々' 9113, グラビア' 6450, 頃合' 19879, 決壊' 1664, 売上げ' 22578, リアル' 979, おすそ分け' 12658, 常連' 10253, ファイリング' 23600, 無自覚' 16209, 即時' 15452, 蝉時雨' 23539, 閉幕' 11314, ぜん' 20350, サチ' 9767, あん' 8908, 競争' 5824, 不倫' 1293, タテ' 13575, クールベジ' 3122, 調味' 20898, 生存' 21029, 概念' 2886, 時任' 22464, スタバ' 2891, ひんしゅく' 10739, 薄手' 14554, 筋違い' 20208, ナミ' 5791, 邦子' 18043, 番号' 1798, 不眠' 4430, 右腕' 1800, 救援' 11986, 買い付け' 15445, 衰え' 4806, シグナル' 7322, （株）' 3302. 「' 22183, ルウ' 16919, 修復' 11380, ゼクシィネット' 12642, あげく' 16477, バーツ' 10358, 同僚' 1022, エイゴン' 12470, ロングパス' 22428, 初期' 3774, タチ' 14232, 突進' 23144, 鼻血' 8705, 加入' 5601, 髭' 14711, 尊' 20059, とろみ' 11545, 梶原' 19834, 含み' 171, 奥' 307, 秘術' 13477, 手管' 4001, 後れ' 4755, 秒読み' 13642, シコ' 13597, 将' 7603, 不測' 7781, 経理' 12170, 専修大学' 15178, 切れ味' 12111, リーズナブル' 9170, 倶楽部' 10346, 遠目' 8517, 専門' 2692, アーカー' 22386, 黙認' 17383, 子離れ' 1928, 遠距離' 412, 之' 13445, wgp' 20642, 手遅れ' 3652, オバサン' 3626, 浦和レッズ' 8821, 淡白' 10193, 消しゴム' 17793, 多勢' 4884, クローズアップ' 13249, ラン' 4115, 重度' 21443, 義徳' 4441, キャリア' 4763, 湯郷' 20971, 関わり' 10305, クールマット' 13474, 人目' 9440, aae' 3248, 小麦色' 13389, 両' 21186, ソニー・ブラビア' 23055, 課内' 9853, 授業' 3545, 縁起' 8862, 野村' 118, 不明' 2262, 市' 3264, カレー' 2611, トレードマーク' 9210, 神様' 3682, pm' 15974, 思い込み' 14570, 丈' 7191, 純血' 19012, 恭介' 16358, コースター' 14367, フォーメーション' 19975, 消化' 2976, 岡崎' 6270, テクニカル' 22149, キマリ' 19880, 華菜' 2288, 晴れ晴れ' 4010, 祐未' 22469, 芝生' 16706, 分け' 12012, 有紀子' 15982, カズ' 5605, ハリウッドセレブ' 18483, 目黒川' 22850, 記載' 2085, 自制心' 16450, 女' 286, 千万' 6568, コントールミス' 18619, オメガ' 9250, リップ' 13061, グリップ' 17869, 蔵王' 15049, わが国' 14163, 食後' 11295, 名倉' 13846, アーペル' 22397, カッコ' 7930, 椎間板' 15759, ハロウィン' 22331, 作詞' 6164, 彩' 1457, 拓也' 8827, 熊谷' 18743, 激怒' 5686, 貪欲' 8992, 利己' 16082, マジムカ' 13101, 最悪' 2304, アウトコース' 12311, 漢' 22317, ロングセラー' 8572, レンジ' 17675, 有里' 12506, 受け答え' 2217. 』（' 16951, ユニリーバ・ジャパン' 22121, 口頭' 18209, 寺川' 5108, 猟奇' 20479, 原案' 13369, 信用金庫' 23534, 出港' 11367, バッティング' 2552, 雨脚' 6649, 入れ歯' 23289, ゲリ' 21375, フィテッセ' 13714, 高学年' 18029, チカコ' 11727, バタフライ' 7487, 跡' 10219, 見方' 4205, フツー' 5145, 加工' 22742, kiss×' 7330, アンカー' 22507, リトルモア' 19900, キャッチ' 10733, 売り子' 11301, 力' 572, 一筋' 7737, 女癖' 18560, 逆数' 23099, 単品' 17879, めった' 19329, 減少' 954, 過言' 9796, スライディング' 13302, 背景' 8281, そもそも' 15839, チャーリーズ・エンジェル' 22914, 市役所' 5716, フライパン' 19205, 遍歴' 9719, 人達' 1533, 安らか' 3280, アワックス' 7009, 強欲' 15167, 遺伝子' 10416, 597' 17670, こんぶ' 8853, 後輩' 191, 黒糖' 15054, 卑劣' 1546, ダイレクト' 4348, ヤンキー' 9970, ベストセラーズ' 11906, 坂' 15348, 始め' 2636, 幾ら' 19450, 晃一' 16335, 感触' 2363, 初耳' 19073, ボーイズ' 20784, 相互' 16888, 最優秀' 7622, 前半' 1708, 一服' 9447, 質疑' 21423, 好調' 3458, さび' 12772, 境目' 12709, 水虫' 2312, ローソン' 23609, 大抵' 1288, 無垢' 11686, かかりつけ' 1819, 伸縮' 13056, 事務所' 7380, 容易' 740, 異' 2939, 親善' 3014, beans' 15414, 主張' 3900, 敏晃' 23272, スポーツファン' 9306, boal' 3986, her' 3990, 強行' 9640, 思い切り' 13855, プロテオグリカン' 5781, 徹底的' 2337, 啓' 7499, 屈伸' 14210, 榎下' 7787, まんじゅう' 10465, ツー' 5864, 恵比寿' 18738, チョン・ダヨン' 8915, 植物' 3056, ならでは' 2755, ステータス' 18520, 留め' 18264, 嫡出' 21888, オープニング' 7547, 発' 7677, 同大' 16132, バラバラ' 20932, 菜美' 20099, ムツ' 9555, 四半世紀' 9503, 道場' 18736, タエ子' 4643, 資源' 15677, マリノス' 4376, 収益' 14589, 真奈' 6042, 人生' 1107, メンタルクリニック' 21735, 公的' 6269, ウェイン・ルーニー' 20703, 年始' 13375, ネルシーニョ' 20929, 参拝' 7593, 職場' 966, 弟' 9216, ドイツ' 1237, 呼' 2835, あれだけ' 9633, 念願' 8835, 欠点' 5795, 固執' 10799, しきたり' 8837, 自信満々' 21928, 奇才' 1702, お似合い' 5385, 世話好き' 23334, 調和' 15795, 顔出し' 20092, 引き金' 16042, ょっとしっかりしてくれよっていうのはありました' 19901, phone' 11495, ヨン' 1374, 銅' 5855, 袋' 2041, nation' 19618, 吉見' 7725, 突き' 21460, 費' 1723, 野放し' 13927, 白身' 21064, 私' 301, フェミニン' 11760, 3773585' 17348, ブッフェ' 18554, 美代子' 7103, ヴァンクリーフ' 22384, 過度' 7956, sony' 7842, ワックス' 16462, ウレタンラミネート' 13035, コロ' 7054, 比' 3934, 直美' 4482, ！. 14406, de' 10837, 新た' 1341, オーソドックス' 12216, 信長' 14700, 本塁打' 6640, 範囲' 81, 頭割り' 16681, シャープ' 22543, 高寺' 16038, グルーピー' 23627, みなさん' 333, バーニャカウダ' 20655, 代' 435, 小児' 23282, 宗教' 6504, 向上' 1205, 片手' 8926, 直撃' 4014, 老害' 4333, ネガティブキャンペーン' 14653, ニッセン' 9162, 公序良俗' 18745, 録画' 8224, 字面' 12645, メッチャ' 4813, ジャスト' 3855, ハイパワーストレッチ' 13050, きた' 15428, 志願' 12183, ひと頑張り' 18446, 祐輔' 8750, 授精' 5729, 固辞' 20941, アリー' 11321, 多数' 3637, 加さん' 5949, フォルカー・フィンケ' 14825, 寄せ' 4924, 母体' 8279, ガゼッタ' 8697, メイド' 5393, ストップウォッチ' 22884, 矯正' 7501, 悦子' 14795, 軟骨' 5773, アパートメント' 19985, 勇人' 7591, 鼻炎' 15091, 148' 8088, 投資' 4991, やつ' 600, 休' 3409, 宅' 838, カントリー' 21068, キング' 10635, 一樹' 6135, 如何' 1971, 規則' 4062, レベル' 1477, アッサリ' 2381, 注目' 817, 世帯' 11009, タッチ' 5272, 新入' 2107, ボロボロ' 2235, イン' 7906, カゲ' 9618, 名言' 10031, メイビス・ゲイリー' 23022, vs' 3001, 格闘技' 4263, 洒落' 22633, 強化' 12758, 殺人' 10915, 名称' 3636, 長身' 10925, バカー' 18941, 早急' 7093, フェンロー' 10261, 奪い合い' 23333, ろうそく' 16741, 心肺' 12984, 先頭' 13649, 煙草' 10065, オードリー' 22013, 山' 6451, 気がかり' 7994, 弱音' 10297, 司会' 5607, ソン' 4993, 幕' 2129, ぼく' 2968, 手帖' 22179, 那覇' 15505, けた' 17057, 点差' 12194, 情熱' 8033, 興行' 9132, アクアマリン' 12820, アサヒフードアンドヘルスケア' 9443, 耕平' 17366, 招致' 22080, 激辛' 16844, 貴代美' 10470, マイクロファイナンス・ファンド' 13282, オサラバ' 1978, 鹿島アントラーズ' 16240, のち' 5379, 国際' 5193, ジーコ' 12601, 佐倉' 21000, ご利益' 13183, フェデリカ・ペレグリーニ' 16426, 実現' 2696, 前座' 11891, あんた' 7324, 氏' 201, 年男' 14557, 豆板' 19189, 入り口' 10580, 物入り' 9164, 松' 2470, レイバン' 18512, 峯' 1619, 美麗' 21020, 麻薬' 5316, 美春' 22367, ヌードボディペイント' 14118, 面々' 12298, サイコー' 8686, 納骨' 11132, 取得' 2966, ラブリーパワー' 5664, 著' 1963, てんてん' 12455, トオル' 23524, 乱立' 12761, 未練' 8603, 自身' 1036, story' 16304, シャルケ' 20697, 彼' 616, オファー' 4287, 素数' 8923, スキップ' 17111, 監修' 2034, 惚れ惚れ' 8801, 状' 4638, 別々' 9510, 魔物' 8302, 川上' 178, 諸星' 19131, 背泳ぎ' 8335, お母様' 1922, サーバー' 5481, tour' 23602, 密' 1925, 軽自動車' 16387, 日程' 3527, マイケルショーンベルナルド' 20444, スパ' 3705, 責任' 23, 暴走' 5363, 徹子' 16669, ヘビー' 13206, お送り' 12500, 先払い' 18625, 岡野' 6743, ジェレミー' 1088, bomb' 16196, か条' 8063, 七美' 4556, シルビア' 13139, サラブレッド' 16350, 難関' 13676, 親しみ' 18610, 雲' 12729, トウコ' 21767, 絨毯' 16721, 狭間' 3906, ムアン' 17978, 谷間' 13880, uncertain' 10781, バク' 16476, 意欲' 3148, 絵里子' 22536, 打ち上げ花火' 15320, 旬' 3118, ザ' 8184, ソリ' 21205, 私的' 23409, 岩田' 18290, ％. 20351, 博之' 13441, 強風' 22784, 背骨' 22759, 更衣' 21040, 娯楽' 624, 赤ん坊' 7098, システムエンジニア' 19481, モテテクニック' 21319, レッズサポ' 9302, 駒野' 11454, bmi' 22663, 番手' 11845, とい' 10191, 今風' 6367, toto' 4257, ヘファ' 13193, フリーズ' 4434, man' 12191, 氏名' 18850, 逆算' 21609, ざなりに' 12554, 祖国' 18771, 正人' 15955, 稲本' 15896, ホイール' 10340, he' 12395, コンテスト' 5031, 数式' 10205, サカナクション' 22228, 禁制' 10598, おやじ' 4674, 朝' 2386, 釜本' 7418, 付録' 17798, 項目' 3808, ツバサ' 19000, 本気' 1370, タエ' 14615, フミカ' 18387, the' 3723, 補足' 5991, 性病' 13916, 食卓' 15419, rimowa' 22744, 浅尾' 6765. 3819, 罠' 14391, 修得' 6365, バン' 7647, 顕示' 9993, コンペティション' 23326, an' 7884, 群れ' 5820, 邦茂' 7425, 不利' 5992, 微生物' 22447, 一死' 21104, 萌' 10681, 完敗' 3926, 槙原' 3461, eico' 13966, 都内' 1917, 日大藤沢' 22592, 折り込み' 23261, ジナ・カラーノ' 4838, 望遠鏡' 19560, 亜鉛' 20612, 販売' 11538, 府知事' 17497, ラグジュアリー' 11764, サイダー' 2004, 19' 3420, タマ' 19518, 組' 3159, イ・フンソン' 16853, ほうじ' 9670, なおみ' 4738, 想い出' 18127, フィーリング' 17515, 右' 2207, 尋常' 8027, 坂口' 10213, くず' 5597, パシ' 20723, 矛先' 14635, booklive' 6088, アンチエイジングケアライン' 7007, 爆走' 2269, 散見' 19428, 運転' 8825, ナトリウム' 22125, じんましん' 14050, 菊地' 8182, 令' 2453, ひじき' 22893, 無欠' 14279, 思いやり' 5137, 俊足' 6732, 前人' 23182, 血行' 12522, 川中' 12329, ビビビッ' 7835, カサカサシカジカ' 16377, 踏ん切り' 11947, ポスティング' 4181, 齋藤' 21454, air' 16598, マックス' 14416, 凹凸' 17874, 両方' 4578, 卵巣' 4044, 痰' 244, 夫役' 14059, ボギー' 16474, romance' 10420, 顔面' 16617, greentown' 14066, 大和撫子' 8068, 厄' 21532, ジョンウン' 11460, りす' 16534, 手垢' 16861, ルイス' 16025, 引落' 14189, 修理' 4677, 取り外し' 20163, じきじき' 11056, パイナップル' 11400, パヒュームマイクロカプセル' 20263, 切れ長' 22191, 大袈裟' 14484, ミミ' 12046, マツコ' 13084, 友紀' 4564, めん' 19373, シロ' 15658, リブランディング' 16934, ジレンマ' 5723, 江奈' 8609, 飽食' 22667, 同所' 17427, 見出し' 6106, 眼鏡' 9707, スマッシュ' 17172, すず' 16431, 無責任' 12259, 刊行' 12206, ブタ' 18076, 定か' 4282, ヤスヤス' 23061, 踊り子' 16769, ハルコ' 3768, 緒' 17694, 黒米' 14701, 稲川' 7117, 地裁' 23606, 明白' 7552, 代弁' 13835, 米野' 22721, 男勝り' 17012, 夏ばて' 10400, ユニ' 7024, イングランド' 6022, モスクワ' 139, ジョブラボ' 17254, バガボンド' 10474, 諸説' 17803, 増税' 19106, ドリブラー' 17651, メルセデス・ベンツ' 19409, アジ' 14377, 現在' 194, 自殺' 3887, 一抹' 8384, ガール' 3010, 和やか' 20195, ツアー' 3251, シリコンスチーマー' 17664, ぇ' 9915, 多角' 18825, トキメキチャージ' 4560, 調印' 15177, 巣' 8785, 絢香' 7644, 晋' 12293, av' 1283, 件' 664, お気づき' 9014, オークランド・アスレチックス' 9293, 命拾い' 14132, 慎太郎' 12236, 連想' 1742, 弘山' 21001, リオネル・メッシ' 14155, 590' 17387, シンプル' 7017, 蛍' 9226, ハンパ' 17586, 正彦' 7946, 義母' 19339, カッティング' 13048, 地' 982, 昵懇' 10807, 口調' 4704, 批評' 14710, 何とか' 17288, 中村' 1654, 思慕' 19011, 手練' 16446, 跡継ぎ' 20201, 西洋' 9327, 食器' 4405, チェルシー' 10267, スイ' 13238, 取り巻き' 13154, 初級' 22943, ストーリ' 15670, 支持' 2164, 232' 22792, 病的' 18035, 逃げ' 6631, 本位' 13842, 一段落' 7696, 素っ裸' 16032, それどころ' 2946, 乳母' 18519, リノレン' 10658, 類' 5384, 浩司' 17543, 続報' 6274, 高らか' 12239, 孤軍' 14998, twiiter' 16886, 矢部' 13105, saeko' 2175, 昌義' 18669, 暗闇' 18376, 揚げ' 8139, イネス' 22971, 真' 4537, 名鑑' 5216, ｕｖ' 13393, neo' 18184, 保' 3221, 怪傑' 18299, はがき' 6304, 真央' 5293, 1987' 7474, 拷問' 14616, 解禁' 6768, キュレーター' 15835, サスペンション' 13330, 動体' 16144, 交通' 6703, ウディネーゼ' 19039, ホセサンティアゴ・カニサレス' 7232, 神経' 4051, 控室' 22826, 交際' 1271, どぎまぎ' 16465, 大半' 7412, スギ' 20888, 書き' 15760, ココロ' 9023, アニメ' 6594, 勇太' 9136, チャリティ' 6220, ｓｎｓ' 20156, 問題' 1011, 相合傘' 5350, エーベリ' 18360, そこら' 22006, kg' 1853, 幕内' 6881, 005' 3444, 泥酔' 7703, スイーツブロガー' 9083, ユースケ・サンタマリア' 22232, ダイソー' 18275, 歌合戦' 7913, 斧' 17303, 浴室' 10447, エクササイズ' 13963, banana' 23527, 妨げ' 7786, 色紙' 7667, 華やか' 2466, 都度' 3525, 兼務' 17202, 園山' 15313, イグニタス' 5862, 清田' 23268, 足早' 20689, maquia' 2139, 不敵' 6003, 気休め' 21537, 軍用' 16597, 仕上がり' 9209, 乱調' 19532, 亘' 12834, 由紀夫' 14044, ・アラフォー' 11230, マズイ' 9133, 日誌' 16328, 焦げ目' 21234, シゴト' 22200, ツルッ' 9050, 票' 6589, 』. 17112, ショコラ' 15470, 吾郎' 12081, カイエン' 9918, 北澤' 5210, ハイ' 1184, 並び' 5792, 楢本' 23110, 国王' 21922, カン・フー・ナキ' 11859, 判例' 12850, 戸田' 20385, 折半' 18196, 風間' 10697, デイビス' 21386, ダントツ' 11661, ⇒' 8202, 休暇' 2951, トップランカー' 18434, 糸' 5617, 茶' 1668, おし' 18937, ジャスティン・ロング' 12386, ・ランコム' 19707, 在り方' 20918, 実家' 1786, 俗説' 17274, 約束' 3561, ベースメイクサンプルセット' 13233, 実和子' 14442, 警鐘' 8648, 多く' 1389, 改正' 2712, open' 16485, ガーター' 12714, 刑事' 20473, アウェー' 8464, ネイト・マーコート' 14134, ヒットソーシャルゲーム' 10595, 偉人' 22800, 黒木' 8766, 神取' 18256, 即答' 2390, 画風' 15153, 勤め' 4584, 世紀' 10192, 今冬' 16200, of' 11006, じたい' 993, ニンジン' 5482, セッティング' 9537, モイスチュアセット' 11761, 四天王' 4227, サイバーエージェント' 19074, 大人' 1001, 摂理' 15570, フランキー' 11957, ぎだる' 8858, 北欧' 18550, 山場' 17003, お参り' 12656, ドクターシーラボ' 9177, ロケ' 8267, 中休み' 21143, ）♂」「' 17528, 領収' 15769, アクア' 5765, 入口' 21128, 美貴' 10352, 文化庁' 22233, 受給' 20049, 日登美' 10569, 甘えん坊' 13977, 信用' 7841, 夫婦' 1045, 濃密' 7484, つくし' 23074, 出産' 754, km' 3441, まんま' 757, 人物' 4506, 伏字' 9686, 煎餅' 9778, 芝' 12289, カメラマン' 3607, ほのか' 10421, 塗布' 18856, sho' 15883, メリー・クリスマス' 13593, 茸' 19217, キンピラ' 20606, パートーナー' 21560, ミキ' 6343, 入力' 3131, 桃子' 252, 御手洗' 21926, トリタニ' 14836, 伊勢神宮' 7595, 将太' 1728, 真樹' 340, 僕ら' 5134, 後押し' 6143, ワシントンホテルプラザ' 6701, 突破口' 7394, 瓜' 14384, モテル' 11681, 暫' 23232, シート' 7999, キャリスタ・フロックハート' 21055, レーザー' 13045, 会費' 11243, 球宴' 14976, 甲子園' 8292, レギュラー' 5267, 柳川' 2700, ドーナツ' 455, 衣類' 11580, 倫理' 1287, ラジオ' 1415, 毛穴' 17632, 迎合' 20493, owsyxwhw' 6860, ごころ' 14349, 日吉' 16337, 鈍' 20663, サンテティエンヌ' 15618, 牧羊' 23495, グサグサ' 15264, 悪口' 5242, フクシマ' 22860, 人付き合い' 12047, 幸子' 6334, 桁' 11616, プレス' 19888, 肌' 614, ぐぐっと' 21587, ギャガコミュニケーションズ' 21054, ネイルアート' 10524, ラブ・アフェア' 22548, 昔' 2576, フニャチン' 13653, 利便' 21170, 豚' 4664, 腋' 23576, ホノカ' 15712, funds' 4967, ザ・スパー' 3712, ルイヴィトン' 13623, 埼玉' 2597, ウェット' 1821, 大山' 10087, 桑田' 5980, 進撃' 13557, 子育て' 1943, 控えめ' 6975, アカデミー' 8031, 周章' 4331, 永井' 6731, 覆い' 14220, 習慣' 1894, 惜しげ' 21297, 糸井' 16537, 波状' 20904, 車両' 17702, 原動力' 10929, 稀有' 13510, スポーツマン' 163, 田辺' 20677, おでこ' 17884, ょお' 9222, 親密' 3564, クラウディオ・ラニエリ' 15003, 時限' 3566, 強度' 15615, リリー' 8045, アイテム' 5412, スイマー' 5859, 大金' 4335, レディース' 3763, マルコ' 4647, 悟' 5627, 51685145' 6941, 痩せっぽち' 15157, 胴回り' 15565, 裕也' 7108, 休刊' 12147, 工業' 10562. ）「' 15086. 」「' 17102, ッ' 361, がた落ち' 23593, ワンレンボディコン' 23044, まゆ毛' 20613, 破滅' 6683, 波乱万丈' 19385, 巨匠' 15162, クリスマス' 431, 同席' 7565, 尾形' 3669, 回顧' 16785, レーサー' 13039, チーム' 53, バウ' 11886, マナー' 3552, ツーベース' 23270, メディカル' 10662, サーカス' 9119, トンプソン' 14514, ダンボール' 10246, 競技' 2279, ジュビロ磐田' 5029, 礼装' 22694, 熊倉' 22101, 遊び方' 20487, 洋' 4413, 美咲' 9921, 湯船' 2340. 2293, 自爆' 14769. 」' 6369, スプラッタ' 8775, 踵' 14154, 着手' 7169, アーセン・ベンゲル' 14576, 驚異' 5744, 闘病' 12449, 逆境' 2445, 古田' 15596, 三流' 7228, バンク' 4953, 18' 523, 出戻り' 11594, オープン' 3467, 門限' 17549, ジャンボ' 8096, 志穂' 6591, イラン' 12715, 先進' 18425, タレ' 17125, 482' 9151, レオナルド・ダ・ヴィンチ' 15160, 屋上' 17020, 粘膜' 8169, ブログサービス' 22489, 木の実' 17577, 摘発' 11076, アンデウソン・シウバ' 22488, ｐａ' 13403, 未来' 1233, 図鑑' 10627, 化粧' 3608, 理恵' 12034, 現実離れ' 12213, 51705937' 21629, kino' 23107, わき毛' 1379, 息' 15799, お構い' 7731, shoes' 13163, ぷらっと' 16102, パンプス' 9943, 予兆' 18988, フレーズ' 6928, アサコ' 4142, 全量' 13287, international' 13701, メラトニン' 848, 加山' 6186, かけっこ' 8715. 「' 12551, 自立' 1926, 仮処分' 15454, がま' 8058, ツイッターユーザ' 16243, 相内' 16949, オグシオ・ペア' 16732, ガソリン' 12002, 赤十字' 21357, 新聞紙' 9939, ラサール石井' 13896, シャッツィ' 1137, 以内' 5036, ポスティング・システム' 13545, 憲章' 2691, 聴取' 11070, 中野' 10624, 因' 12448, 早稲田大学' 2370, 霧' 2484, ミドルシュート' 8374, 想定' 10299, イルミネーション' 15878, 情' 16510, つど' 10075, ノム' 101, 悪童' 6024, 李' 4372, 療養' 17756, hiro' 23146, ミニ' 5188, 佐知子' 23501, 雅行' 6741, 妃' 11067, 不服' 14139, シーチキン' 21790, new' 16095, 明快' 1310, シャンテ' 18233, ブックメーカー' 19283, 年下' 4792, ワンルーム' 19868, 前倒し' 12814, 理不尽' 9007, 原文' 10538, 出航' 17737, サービスユーブライド' 20433, ファッションショー' 5380, aha' 7962, クラッチ' 1592, リプトン' 16265, 都会' 14291, セントラルスポーツ' 12257, てい' 23254, スルーパス' 6749, ゾーイ' 7745, 苦言' 967, アイメイク' 16629, シゲルキリガミネ' 14872, 千晴' 19570, シソ' 15088, ご苦労' 21250, 集中' 3147, みちえ' 19376, 見せかけ' 17305, 振込' 10112, ○' 7081, 分類' 15090, 教授' 9258, 好み' 1307, 家事' 3126, 財界' 22176, 軒並み' 23171, 技' 4836, シャンプー' 5568, しん' 10701, ファザコン' 18419, ロウ' 13413, ユイカ' 8407, 軽井沢' 13381, ホッフェンハイム・' 23480, 種' 3067, 希' 6838, megumi' 8962, 柄' 5638, 別格' 14248, 当番' 10074, 奇行' 7135, 6600' 18877, ビオデイ' 15089, 年齢' 1286, 角田' 16347, ぇこいて' 11046, 美帆' 10514, おかず' 8652, 佐野' 10124, モトコ' 10125, 419' 17249, 面影' 19273, 独自' 5867, ぎにかなり' 20122, 純' 2728, 中傷' 6080, 01' 9682, ユ・ダイン' 13205, 浴場' 21119, 昼' 2021, 嘘つき' 20439, メッセージ' 3455, 身だしなみ' 269, 食前' 17891, sb' 12306, jim' 16817, 右目' 16620, ムネリン' 15463, アジア' 3045, 突撃' 5461, 悲しみ' 4231, 身の丈' 17621, ごちそうさま' 7796, 守り' 7431, 海老' 8144, ）! （' 22443, 学院' 10947, 私大' 21881, ホスコレ' 10599, たん' 3465, リグナン' 10647, 冬季' 10507, ｓｂ' 15553, レクリエーション' 22959, ねん挫' 17582, 気胸' 21441, 計測' 13116, 貴幸' 16989, よう' 26, 直射' 3052, 竹' 2345, 幸江' 14523, ダンサー・イン・ザ・ダーク' 16300, 算段' 14328, 清潔' 6134, 夢中' 486, 着想' 20459, 康成' 12691, ドンペリ' 18331, 輩出' 7868, 選択' 1115, プリンスホテル' 14791, 劇的' 6837, 要求' 9860, 茶髪' 9466, 311' 703, 入金' 10107, 寝返り' 16213, 名家' 20470, 人混み' 12033, 煮汁' 15952, 一点張り' 13677, ノックアウト' 12428, 密度' 11791, 臭い' 10083, ヒンシュク' 12947, 暮れ' 22067, リーダー' 7934, ｗｗｗ' 4326, 落ち' 169, 大概' 16621, 面子' 18894, 柄本' 4421, 引出し' 21941, ウエア' 11177, エコノミー' 11102, 紅蓮' 17527, つまみ食い' 22772, good' 10661, 藤森' 12284, 親指' 14669, ゆうこ' 8427, 宿' 8669, 啓蟄' 21085, 長持ち' 18667, リズ' 15794, 界面' 5754, 矢沢' 6202, 下北沢' 10920, 三振' 2379, ジプシー' 7018, 熟睡' 20770, かさん' 18800, 水準' 11810, 手触り' 20755, 国々' 3345, みじん切り' 12557, グレートブリテン' 6789, インタリア' 22867, 柴' 5470, ズドン' 12309, 未払い' 10539, 干渉' 7879, 大笑い' 5283, 劇' 6187, スロー' 11617, 破天荒' 2121, 数カ月' 1903, コジャレ' 22768, ジョーク' 12881, 下位' 8642, 乙女' 5909, 中大' 4826, 脂質' 9257, つぶやき' 7586, 粘液' 17779, 数珠つなぎ' 22402, マサイ' 17073, 嗅覚' 10226, ツイッターアカウント' 15833, 招き' 20785, ヘルメット' 21487, 明記' 22462, クセ' 4758, maggarden' 12547, バッテリー' 15608, ほくろ' 6413, 伴侶' 16561, 前例' 15191, 業種' 4588, nikkan' 18214, 勝守' 16664, 同窓' 15708, cska' 142, 鍋' 5254, 小学生' 1211, 中島' 14772, 東欧' 13148, ソフトバンクホークスリハビリ' 9407, アパレルメーカー' 9723, 擬人' 5347, タジク' 13874, 強引' 9004, 同窓会' 6170, 5' 1559, 川澄' 4362, 盗賊' 4683, 独創' 19399, hiv' 3816, 執念' 14014, html' 6955, 129' 21145, リン・バイロン' 17169, ヒカル' 14354, ジブリアニメ' 4690, 自然薯' 12582, 優先' 3529, クローバー' 10999, ハイクラス' 11767, 暴飲' 16302, オフェンス' 8709, こないだ' 10398, りんご' 17887, リンジー・ローハン' 16786, 久々' 13309, 寄宿' 19452, 用途' 10579, dfs' 17725, リア' 7395, ｇ' 20586, 南半球' 20312, 朝日新聞' 4328, そう' 566, バネ' 7222. ）' 20566, 山崎' 3506, バルサミコ' 17677, 芸' 4712, カンタン' 12269, 惨事' 9462, 早紀子' 14294, 産休' 2974, 打球' 2412, スポンジ' 9785, 角川書店' 5822, 兵' 18237, スプリングス' 10890, 婚約' 584, 欠' 19227, ㎝' 16303, 惣菜' 4380, 30' 253, 紅茶' 2042, 利恵' 18609, 騒然' 7028, カフェテラス' 11277, スカンジウム' 19556, グレン' 21056, 651' 21019, ステーキ' 18552, ザウルス' 20797, ナチュラル' 8062, バッ' 13789, キモ' 258, ｔｂｓ' 16356, リエ' 7525, エルコンドルパサー' 16928, 番外' 14818, babbi' 20506, アウトレットパーク' 5973, プロテスト' 10349, ノマドワーク' 9597, sm' 9531, こいき' 17526, 小野寺' 16954, ごっちゃ' 15361, 人となり' 2716, 概要' 2750, アヴェダ' 18836, ヘレナ・ボトム' 23328, 軽妙' 16375, 住田' 1667, 葬儀' 3578, 所在' 11899. 」' 3303, ピッチングスタイル' 12292, 作戦' 3304, 実姉' 15593, 本店' 10007, しわ' 8549, ウンチ' 19340, ぎ' 20123, 一斉' 302, 特例' 12607, 達筆' 7664, リストラ' 13010, 点検' 12001, 幸一' 15603, ハーフウエーライン' 8708, 直結' 16963, 結び付き' 13859, 瀧' 8725, 妙味' 13979, 満腹' 17121, サイド' 305, 祐子' 12016. 「〜' 12321, 嘉人' 15018, パーク' 20121, 銭湯' 753, 忍' 6834, 錯覚' 10779, やじ' 21455, 対戦' 66, キッカー' 19937, 百人一首' 15469, 収縮' 12973, エイプリル' 16558, 用事' 2681, 人数' 9733, イケメンヴァンパイア' 19747, 協会' 3211, 制御' 9239, バニーガール' 16656, アタフタ' 3883, モミジマーク' 18096, 左上' 15906, 手袋' 1070, カシャ' 21873, 不義理' 13579, タネ' 5592, ヒョンジュン' 23089, 持論' 5305, 315' 8931, 経過' 5721, 首席' 16231, ミッシェル・ウィー' 14376, ドモホルンリンクル' 15142, 資生堂' 581, 水本' 15707, 由加' 22811, コメンテーター' 2540, 夜爪' 21798, とき' 357, ケイスケ' 21263, 姉たち' 23544, 良心' 22919, 涙' 1948, 無事' 3812, グレープフルーツ' 17885, ヘイゼル' 13827, ウィークリー' 16549, 数' 824, ゲッターズ' 17943, ゆう' 8755, 柳田' 14079, 岩清水' 6840, 透' 16865, 境界' 10914, 俗' 13802, コミ' 17544, スピードアップ' 14603, バツグン' 8344, カ条' 16275, 追跡' 16016, 魅' 6842, ジャマ' 380, 炊事' 17401, メドレー' 5099, アンジェリカ' 19624, クサツ' 3696, ナイロン' 17149, 空振り' 4187, 応答' 20267, 当分' 9538, 任命' 19819, 満知子' 4017, 原口' 19257, ぱ' 4961, フリップ' 2410, ざというときにあたふたせずに' 18095, 内規' 22727, 子息' 23087, 破産' 8625, 画家' 15148, サキ' 3178, バレーボール' 8323, 無し' 1794, 内村' 5541, 日柄' 12661, 感度' 6969, 日産' 18913, 85' 17273, 日本ロレアル' 19710, 府立' 17490, 先日' 2608, 万博記念公園' 15891, プレ' 490, 動揺' 1358, 道中' 18670, ゼロ' 1895, 先決' 6391, ウエイトリフティング' 14183, joc' 19455, 仲間外れ' 17164, 疲弊' 14234, バス停' 17157, チェシュメ' 9347, 面目' 8381, 名誉' 4344, 入れ知恵' 18680, 185' 20144, ３月' 10459, 不妊症' 16800, 森林' 13265, 内乱' 2572, 常盤' 21030, 曲調' 15407, 松坂' 8305, 0' 1558, 三国志' 23398, 雪見' 21619, 凌' 19904, ひとこと' 16705, スーパークールビズ' 11084, 水曜' 18060, 見応え' 23104, 渡邊' 4346, 継承' 11125, 芦田' 17177, かた' 14511, 食' 1882, 秀吉' 14683, 備え付け' 819, シャケ' 20902, アテネ' 51, フルマラソン' 12251, ヘビースモーカー' 10064, 出入り' 6758, 発汗' 20174, 里美' 20616, 指摘' 562, 一つ' 482, 競走' 12084, ミナミ' 3195, フィナンシャルプランナー' 18793, ブログメディア' 4610, 見合' 8410, サトシ' 7292, 隣人' 11335, 定年' 1972, 機械' 15032, エロース' 5318, ジェニファー・コネリー' 12385, オケイコ' 6356, バロメーター' 8537, 幾つ' 862, 前段' 14841, 見かけ' 20952, 表彰' 8695, デルツマールオリジナル' 21368, 945' 18071, 惜夜' 10200, 山盛り' 18548, スクリーン' 10730, 政府' 3533, おんな' 17403, 削減' 2944, ポチャ' 4725, 安部' 1095, 統一' 7746, ハナ' 14021, 黒目' 11837. ”' 23589, 母性' 746, 国神' 2609, 仙台育英' 2266, 汁物' 23499, バイロン' 17175, 正念場' 5051, 乗馬' 23227, 204' 20745, boys' 23079, ラブホ' 22675, 機嫌' 5070, 圧倒的' 2218, ケド' 10020, 本物' 1156, ブリジット' 18944, ロマコメ' 20547, 口' 323, サイトシネマート' 12712, 課長' 7896, デリカ' 11711, 側面' 13663, 全開' 3963, ミナコ' 11128, 900' 10002, 証人' 10904, 辰巳国際水泳場' 13643, 乾き' 17601, ブンデスリーガ・ヴォルフスブルク' 23028, 和巳' 9412, さとう' 19169, ウェザーニュース' 20885, 献血' 16637, 保証' 16250, 表彰台' 11852, 全裸' 2306, エクセレント' 21173, ステーショナリー' 5642, トリップ' 21017, エクボ' 11783, ジリ貧' 14650, ジワジワ' 9020, どこ' 956, フィルタ' 20559, 些末' 21593, 熱燗' 18379, 愛顧' 21642, あり方' 13659, 生活' 429, 照れ' 14901, 雄叫び' 20864, エーゲ海' 9325, 長時間' 5450, 佳美' 4916, 狂気' 20464, 当人' 4568, 怪奇' 8134, 紀子' 599, ジェル' 16643, 西堀' 10094, スマートフォンアプリ' 22833, ヒルズ' 20930, シース' 13818, 現象' 4575, コンクリート' 6482, 真理' 3921, 容量' 11547, レジェンド' 13565, とこ' 370, 幸運' 2439. ….………' 15212, フライデー' 14718, チョン' 19987, クレペリン' 16274, ミラー' 283, 口角' 22671, エロカワイイ' 17901, ヒアリング' 12061, りょう' 8849, 随一' 20037, gb' 6791, 開花' 2448, 3067' 23249, 牛窪' 6619, 独' 391, atp' 19287, 自治' 23263, こぞう' 17641, 幻冬舎' 10037, 公開' 1719, 健二' 21836, 山羊' 19503, スカイ' 17082, 重箱' 21285, 脱皮' 14474, プレッシャー' 4359, 智' 8301, 春奈' 1627, 比べ' 18719, 髪の毛' 2307, 鉱物' 5787, ゲームセット' 12310, エディット・ピアフ' 19157, ハッスル' 12835, 露骨' 6625, 住処' 19866, スカ' 6851, 年配' 928, ハーフナー' 6726, ソマリア' 18778, 坊ちゃん' 9886, ヴァーチャルボディデザイン' 13046, 止' 4444, カウ' 6672, 酸味' 2751, スーモ' 15387, 鳩時計' 17047, 実効' 2936, 延岡' 13374, 安め' 9386, 節分' 21546, 智章' 13905, 一幕' 6864, 一重' 23431, ヒラ' 9850, マラドーナ' 17654, 各種' 10108, 硬式' 17897, 家具' 1170, ワイドショー' 12857, 幸い' 1054, 未婚' 3653, 物色' 18448, レインガン' 23512, 育児' 2948, 申告' 3191, ブラッド' 15536, 更' 6058, 博行' 21737, ゲーム' 2525, ン' 2789, トク' 4004, カッター' 15860, 同地' 10571, 問' 17723, 峠' 18639, 柑橘' 19085, 須田' 7857, 學' 15006, 理央' 13063, ニーチェ' 22794, 古来' 3053, 蔚山' 20346, サアアアン' 22717, メランコリア' 16283, ヒッター' 8468, 得点' 2811, サイフ' 18181, 大根おろし' 5487, 火中' 17094, 表明' 2100, 弓子' 20786, ディズニーランド' 9416, 佐竹' 18832, 異名' 4236, 血小板' 16626, ファンタジー' 10208, 94' 8617, 修了' 16135, ジョギング' 11636, ブック' 7562, 徳永' 18817, シンクロナイズドスイミング' 18781, デニー' 23193, 最中' 7195, 近' 14447, 気' 55, ブラトップ・ヘビーユーザー' 22856, 蚊帳' 8511, 朗' 9813, トマトケチャップ' 20599, 象徴' 1904, ぴったり' 8385, 渋' 2643, ささやか' 10516, 99' 11107, 日南' 16654, 家父' 20297, コスメメーカー・エテュセ' 21273, 居酒屋' 10862, 作者' 11936, 恋愛' 413, 修一' 13865, アッパ' 13075, 裕司' 18668, 住宅' 6415, ヒートアップ' 6668, 農薬' 17024, 大勢' 1399, そつ' 9976, ゆか' 5105, やり取り' 3158, 負けん気' 16131, 半月' 4634, 黒豆' 8117, キーラ・コルピ' 16757, サンドイッチ' 11287, 裕実' 15558, 髪型' 6983, ジェシー' 14535, っぱなし' 3088, 後継' 8360, star' 16809, 開会' 7627, qr' 10001, 出版' 816, 調教' 16346, フリーライター' 12179, メン' 4414, 江利' 20044, ビザンティン・ブルー' 9349, 全編' 7550, 複数' 830, 女性' 377, 若づくり' 20440, 題' 10304, クチコミモテ' 6977, 好き' 712, happy' 16277, ガーデン' 12581, kk' 7294, オーレリア' 7537, 高地' 16689, あからさま' 8053, チケット' 2075, ゴマ' 10644, 切迫' 2927, 箪笥' 11581, 初産' 6927, セレンディピティ' 20545, 対称' 4319, ビジネスライク' 17161, 100' 626, 望美' 9989, プロフィールオラクルカードプラクティショナー' 4504, プロフィールスピリチュアル' 17758, 坪' 13260, 確保' 3165, 日和' 12717, 用量' 3789, 日本航空' 20331, 加賀屋' 16056, ガッチリ' 18324, 700' 1566, カルピス' 1870, 排泄' 22268, オーストリア' 12485. （' 6980, スカップ' 13379, チロル' 22106, 飾り' 5495, 癌' 17768, 一瞬' 1087, ヒトミ' 11729, 創意' 22628, 食べ頃' 21626, 大通り' 19437, 今日子' 3646, 香子' 23340, レディス' 10343, 極限' 3340, 町会' 15447, パナソニック' 13548, くじ' 9907, 天災' 9825, 板野' 23285, 通説' 8259, 鹿実' 23380, 拝察' 16093, 症' 1837, センアーノ' 1241, 幼少' 5286, おっさん' 14026, ♥' 22938, シャルケ・' 14491, 単身' 14802, ヤス' 23292, 書籍' 7290, 配膳' 22875, ロマネスコ' 8102, ハイボール' 19161, 三枝' 4383, 遇' 16253, 違反' 10719, 愛読' 4907, 起因' 12531, 建設' 5088, おしまい' 11738, 満男' 19226, 梅' 9111, 遺族' 6508, 石原' 1400, 阿部' 4113, 挙式' 6308, 二塁打' 20030, お手の物' 9598, 靴' 5371, 飛行機' 6705, 鰹節' 8860, ターメリック・ジンセン' 20754, 聖子' 588, 損害' 12866, ジャ' 9891, 完治' 17757, rioferdy' 4300, 365' 4462, 妥当' 14708, 疾患' 7975, 送り迎え' 3397, ラディッシュ' 17021, pas' 21241, 握力' 17371, 2001' 1676, 紫色' 5873, 国内外' 4846, ジョジマール' 7468, フレグランスアイテム' 14244, turkey' 9330, 権力' 9865, ポジション' 5604, 美江' 23335, 引き継ぎ' 2908, 必死' 6376, 瀬戸' 14086, j' 3459, しま' 13435, 一般' 1197, 無茶' 8496, ローズマリー' 20737, ボーイズラブ' 479, 千羽鶴' 19490, 今月' 10, 不思議' 858, 仕分け' 15567, 開場' 19833, 大雪' 11158, 阪口' 13099, カワイコ' 20621, 延長線' 19242, 眠気' 865, トンデモナイ' 19603, 処理' 631, 館長' 15915, 道路' 11982, 玲子' 7381, 校庭' 23315, 人選' 9532, 昨季' 3928, 雰囲気' 883, 雑音' 7770, 弾き語り' 18564, 締め切り' 8099, 同夜' 5131, シャー' 6909, ジメジメ' 12935, 切り口' 21300, 央' 217, 凱旋' 6832, warner' 19580, 二の足' 16449, 尊重' 4517, 分目' 21970, 渇き' 15093, うかつ' 20025, かつお' 8905, メディアファクトリー' 20841, 時短' 11390, 聖' 6628, スナック' 10461, 試行' 17215, 持久' 16306, ソース' 2852, サイト' 447, 真知子' 17593, 茨城' 10289, コウタロー' 6191, そちら' 17140, リヨン' 12416, 店内' 5413, ゲームアプリ' 22832, 力不足' 13535, ナイトクラブ' 9357, 熊本' 20398, お門違い' 15442, 顔つき' 7965, 開発' 2765, 胃袋' 21631, 最高潮' 14418, 引き合い' 10693, uefa' 4280, 﨑' 14705, 尽き' 22678, ブルー' 9385, デッドボール' 17050, 品ぞろえ' 5953, 青森' 10563, ブログエッセイ' 21510, バローズ' 19576, チリ' 17002, 稜' 12166, 座り' 17774, 据え膳' 12335, 者' 193, 直ぐ' 6824, 笑い' 2706, 指揮' 5234, 量子' 15306, 奮闘' 7553, 婚前' 11264, マヨ' 21232, アクセス' 5358, 農業' 13283, 武藤' 18332, 暗躍' 14696, 目やに' 17130, 予定' 620, ムーディ' 17841, ドジ' 11678, ニューヨーク' 3457, 薬物' 8771, いやいや' 11041, 冷え' 1801, 陣容' 23229, 取り組み' 16060, おふくろ' 15960, 粗' 16582, ご法度' 12602, 後日' 5578, 仏' 1261, ソムリエ' 8154, はぎの' 17294, 熱望' 12290, アレコレ' 11153, 手数料' 13615, トニ・コレット' 13162, 暖' 12038, 原題' 6671, ハンド' 5387, 夕食' 4408, 廃刊' 12134, ダービー' 9299, チビ' 9099, 新谷' 2261, コンパ' 9155, 系列' 6105, 黒星' 7761, ソデ' 17101, コモワ' 17269, あと' 400, ドーハ' 13713, 1997' 15261, 回数' 596, モレ' 18587, 日なた' 17029, イ・スンヨプ' 20670, ジャイアンツ' 2077, 抑制' 3503, 侵入' 16036, バジル' 17038, ユニーク' 9335, 一喝' 16414, カターニア' 16990, ペンダント' 772, 方舟' 21834, 勇樹' 18416, カメレオン' 17597, アオリ' 13934, びら' 6078, 何もかも' 14562, 瑞枝' 12057, 葬式' 6503, てこ' 1373, オイ' 21839, ストレートラインステップシークエンス' 14094, 姉' 522, 健在' 1927, 三半規管' 22818, 5505' 21112, オフライン' 470, 営業' 784, 把' 18495, ナイター' 17104, プロテクト' 18857, モーター' 19573, コム' 13254, 圏' 4089, 不可欠' 14680, 久しぶり' 2570, 卵子' 8772, 離れ離れ' 17113, 選' 2689, ロート製薬' 8113, はん' 18654, mmf' 4975, 業者' 10061, 何分' 22037, 士' 1416, チンパンジー' 22964, kanonxiss' 8558, 結局' 1098, けんか' 1530, 拘束' 3408, みなさま' 15347, 品種' 10418, ヨーロッパ' 5109, 学習研究社' 4706, 史郎' 14138, ウィンターバラード' 22249, 健介' 11310, 禁句' 19223, 壊滅' 12006, アツアツ' 15055, 限定' 8141, 鮮烈' 15632, 心根' 9819, 立合い' 23139, レア' 8769, 療法' 3215, 菊池' 15460, 満了' 2479, センチ' 7473, 色白' 8369, アラン' 6670, 篤' 12452, 気力' 6887, 根' 23631, ラッキー' 4511, 卓' 5624, 宣之' 17968, 隆明' 16339, エミ' 7880, 球' 3759, 高給' 20954, 誘怪' 5339, 通路' 13518, 挨拶' 3537, 薬剤師' 1817, 晶一' 9735, ベリッ' 16463, システム・エクスフォリエイティングシャンプー' 20738, 特権' 9711, トロント' 23552, 1985' 13826, ジャニーズファン' 19864, 当座' 17367, 警戒' 8716, 念仏' 14223, 出没' 22274, バッグカワイイ' 17902, 見解' 1961, ビリー' 22702, 合言葉' 22738, 成婚' 15295, ブリキ' 15354, 陶器' 21089, 不動' 11707, 秀章' 14716, 減量' 13128, 進呈' 19943, バーバリー' 13630, 切干' 5427, 完熟' 22022, 本能' 679, 河村' 22097, ポリ' 2048, エンジェルオラクルカード' 21108, 女子大' 7804, 平静' 20712, パロディ' 6408, 贈与' 12615, ギレ' 22747, 携書' 17342, 2020' 19366, ジョナサン' 20548, カリキュラム' 18830, 新社屋' 8115, イーグルス' 14162, 敬遠' 4112, ソバカス' 14387, 間伐' 13256, エントリー・カリーナ' 3003, 差し止め' 23625, 将司' 8412, ファー' 9418, 尚美' 13018, シゲルハスラット' 14867, デュオ' 15432, どっち' 1168, 加部' 20345, オス' 14522, 技師' 4684, 沈黙' 2117, かす' 21951, joy' 17715, 部品' 3405, フォード' 17225, 管' 3767, 失踪' 17114, 解放' 1686, ピカソ' 15154, つばさ' 11086, フラ' 3996, 大引' 23645, ハジメ' 13943, ベル' 13909, キャンバス' 21432, 古谷' 1696, 共存' 16176, 慶応大学' 22405, チョコ' 432, 本体' 5445, アスレチックス' 4180, 葉' 2022, ブチ' 8589, 195' 20751, 鼻水' 378, three' 13698, 真偽' 18714, ムク' 18461, 気苦労' 3585, 早打ち' 16966, ドキュン' 17514, 型' 467, 名乗り' 13858, マザー' 11201, まめ' 15957, 3500' 23439, ボーヴォワール' 15740, パーマー' 16419, ヶ所' 12754, スケッチブック' 16162, 目下' 2904, 勝ち' 3415, 名手' 5676, 3150' 20734, サンタ' 505, 乱入' 13822, 岡山' 7464, 筋肉質' 15173, 当たり障り' 6079, 長銀' 21776, ジャスティン・ティンバーレイク' 15400, 手の内' 16445, 塁間' 8585, クロック' 12698, 徒歩' 1829, 交錯' 3995, さま' 758, 古参' 4791, 山相' 18113, 女心' 8799, パープル' 13209, 144' 16931, 急逝' 13947, toiletpaper' 13741, ny' 18151, 霧散' 15188, エドガー・ゴンザレス' 20927, アメリカンフットボール' 20826, ごちそう' 16101, カバン' 5630, 政信' 21953, 降雪' 10496, 坊主' 16407, もの' 14, セールス' 5372, ティーン' 12430, ダブル' 2753, アーヴィング' 10183, 激走' 13103, 関西電力' 22072, 高慢' 20360, 活き活き' 20876, トリンドル' 18608, ごぶさた' 15922, 懇意' 11106, 爬虫類' 14042, 佐智子' 4968, クレット' 22973, 殿堂' 19924, 腹腔' 8773, films' 12683, 全文' 6262, ヨーグルトプレーン・' 2778, ベッカム' 13141, 花魁' 21302, バス' 9376, ボストン・ブレイカーズ' 13068, コンパクト' 13221, ①〜④' 18926, ひととき' 4473, 庁' 10121, 貴代' 19979, キャスター' 144, スマイル' 13645, 千田' 16334, 施工' 15379, 月収' 8621, 大島' 4163, ゴスペルパフォーマンス' 21183, 傘下' 16816, 始まり' 6342, フランス' 10227, イラストレータ' 17180, 掘り出し物' 5920, 不評' 12805, 機器' 9877, 眉毛' 619, お忍び' 9332, 時代遅れ' 19446, シティ・オブ・コベントリー・スタジアム' 21855, tm' 19735, 胃腸' 1811, ワンピース' 5899, ソニア' 18985, ランナー' 2726, 探求' 8599, 章二' 23266, 革命' 7398, 金沢学院大学' 23024, スバリ' 12766, 多香子' 3383, あご' 297, エネルギー' 3083, fifa' 3452, 笹原' 6871, スカート' 7172, ビッグ・ファット・ウェディング' 21809, キーワード' 5940, 政界' 10801, 真珠' 11586, ラシュリー' 23345, ジェロム・レ・バンナ' 17200, マネー' 3350, 児' 3551, スター' 2877, 血栓' 9243, 金券' 14459, 押尾' 17532, ため息' 8010, ブレ' 5903, 直近' 9816, ツーアウト' 8298, ナスカ' 16712, ipad' 6028, 澄江' 10379, ベット' 12160, サエコ' 1050, 91' 10280, 愛嬌' 16342, 小屋' 9128, non' 16657, mc' 7672, 縫い目' 17864, 苛立' 15812, 漫才' 22212, 催し' 14497, 職' 919, url' 10431, グレー' 6788, モテメール' 17448, 半日' 17027, ブレイクダンス' 6351, 起業' 16483, 持ち駒' 8188, 発酵' 1977, 平々凡々' 14172, 佳織' 20968, 1328' 20131, 気候' 1984, 雅志' 15837, 一寸' 18380, エンド' 21392, ラクラク' 18627, 逆' 2199, マスターズ' 12492, 降板' 4127, petit' 21229, ネガティブオーラ' 17412, シリーズ' 3977, 歓び' 12431, 伸也' 19935, サマー' 10769, オバ' 22280, キス' 1354, 242' 13736, ビッチビチ' 12305, 矢田' 17541, 爽快' 3856, 猶予' 9486, 信仰' 18811, judo' 19228, 綾瀬' 6051, 光り物' 18987, 蛇足' 19260, 料金' 770, 指輪' 6441, 宏樹' 15165, 優里' 20062, 皇女' 4692, ——？「' 18637. ◆「' 14439, 試食' 8670, 潜入' 7533, 悪気' 3920, 葵' 5303, 熱帯魚' 1692, ウィンド' 16166, 夢物語' 11965, スプリンクラー' 23510, ひとまとめ' 20843, dv' 2303, 管内' 17106, ベール' 13211, お市の方' 14690, お茶' 2035, 長所' 4707, 星座' 9505, はさみ' 18269, 彩夏' 17407, 脱力' 14405, ラタトゥイユ' 17025, 勝ち星' 2508, 山芋' 19176, street' 20181, 穂' 6843, オルグ' 15741, 那奈' 14817, satc' 17411, 魔王' 21520, ドミニク' 17486, ヴィンス・ヴォーン' 11111, 一口' 2873, 愚弄' 1478, しゃも' 5501, グアルディオラ' 16731, 送付' 13274, 再考' 23547, 完ぺき' 20357, pb' 18277. 2174, たしか' 6990, 格差' 8639, 究' 20343, 夕刊' 6784, 新美' 10131, 栄光' 4493, 私信' 22371, 仕組み' 12240, リオ・ファーディナンド' 4283, 棒高跳' 20906, まれ' 7610, 内面' 3070, 発刊' 13961, 白昼夢' 9102, 上昇' 4049, ミスターサンフレッチェ' 22316, サタ' 21278, カットソー' 13815, キモイ' 13731, 私見' 16857. 1651, 文化放送' 22725, 休職' 14640, ジュード・ロウ' 10353, 大八木' 11089, チズ' 7296, 幼稚' 1656, and' 10298, 003' 12971, ジョアニー・ロシェット' 20859, 翼' 6575, 当たり' 9824, r' 6077, フォーマット' 21106, 寮' 7768, led' 813, 勾留' 19849, 長島' 5956, 森' 1577, ハーブ' 5573, 厳禁' 15179, トコロ' 8781, フェンシング' 8334, ワー' 17658, 専売' 21853, 太平洋戦争' 17272, 買い替え' 832, サト' 7283, 水沢' 18067, 極悪' 17425, 2' 116, バツ' 1188, duty' 23299, 気味' 3387, 暴君' 16901, てんこもり' 22307, 精通' 15649, インナービューティ' 8947, 油' 9072. “」' 8293, 勢力' 12898, ブリジット・ジョーンズ' 10865, 皮切り' 20057, 楽しみ' 1324, コミニュケーション' 19293, 殻' 10853, 発明' 20053, セロトニン' 8078, ディー・イー・エヌ・エー' 19449, 立ち読み' 12133, softbank' 11490, ｗｂａ' 19417, 桜沢' 12151, 邦夫' 11249, 切れ目' 15217, サケ' 5752, 一時' 143, ameblo' 18087, 踊り場' 14239, 食料' 7260, シングルスカル' 20042, 追求' 5492, 大変' 145, カルルク' 21011, 神楽' 15343, インテリア' 5496, 盛り上がり' 6797, 引き立て' 23522, 肩透かし' 13308, 構内' 9451, フト' 17402, 団塊' 20524, 弓' 3105, セサミオイル' 20614, 志向' 2780, 移り変わり' 16748, エントリー' 11630, 表地' 19262, 兆し' 5852, 枝' 2532, 絶命' 8406, 同居' 4390, イケメン' 2223, メアド' 8676, 吸引' 16648, ラッピング' 13772, 橋下' 17491, グラフィカル' 13986, ワリス・ディリー' 18767, 幸喜' 21948, 四' 3672, むがりやの' 10130, リペアジェル' 19584, numero' 1892, 後釜' 7157, 必至' 2813, 年末年始' 6294, 槍投げ' 8328, 火花' 2727, 閉店' 13848, 標準' 2246, 出来合い' 15947, 集まり' 4587, 羊羹' 9779, 精子' 3788, 仕様' 17859, ターニングポイント' 7386, お袋' 16507, 対抗' 12018, 空疎' 19955, 格下' 6716, 精魂' 22677, 仕事' 375, ジャクソン' 18081, マキコ' 17717, 天然記念物' 23208, 香奈' 18597, au' 16487, 戦車' 20798, マナカネ' 19430, ぼん' 12137, オッサン' 6128, 光江' 23195, セルビア' 12997, 浄水' 19371, 所存' 8826, 月末' 1788, 即刻' 23571, 戦国' 11000, ゲレン' 16149, ミケランジェロ' 15171, tribune' 16818, ナイーブ' 978, 調合' 10180, 健気' 9320, シェイプ' 6344, ルプレ' 19156, ゃんとしとかなきゃいかんなっていうのは' 14958, スキ' 11556, 引っ張りだこ' 3035, ボトックス' 23577, 辣腕' 10720, 手芸' 19520, 思い付き' 18247, ニュアンス' 14346, 縁組' 19103, 診療' 3823, シドニー' 5847, サガ' 6124, 杉並' 16034, 同書' 5092, 権限' 6271, ロング' 6667, ミーティング' 5480, 行儀' 9933, オーバーヘッドキック' 13581, copyright' 6970, 増築' 19889, 但し書き' 8730, set' 13689, 64' 8852, コラ' 23183, わる' 22823, 重量' 5033, 資産' 3327, 腐れ縁' 16762, 成立' 6624, タロットカード' 11796, 浜中' 19046, 同社' 5885, まゆ' 15307, is' 13686, 乗り継ぎ' 15102, サチコ' 2478, 隙' 5994, アスリートクラブ' 21002, 自民党' 15665, ボイコット' 2836, デブ' 12217, オクタゴン' 22484, overture' 14510, dell' 9398, 娜' 15249, 共闘' 19460, dokujo' 6966, 肉声' 11384, カトラリー' 22870, タイムアップ' 14578, 情報' 1382, 進展' 11020, 香' 10433, 労相' 22358, デザート' 7276, 乳白色' 17600, 先制' 4356, ハムファイターズ' 1044, 聖一' 5133, 顕彰' 16930, マーシュ' 18724, 四' 17833, 開眼' 7447, プロレス' 2349, ホタル' 14083, マサル' 13940, 晩酌' 8280, ロナウド' 20268, 傍目' 14771, 私用' 20652, 絶妙' 11511, ミシン' 13743, 理屈' 1347, ディフェンディングチャンピオン' 9137, イラストレーター' 4067, 東レ' 12126, 売' 20168, 好物' 10466, サワラ' 8128, ・ダルビッシュ' 19249, ？——' 15700, 綾香' 2142, 集荷' 23434, 負担' 2959, 急死' 7986. 1633, 眺め' 9338, なし' 23653, ナイショ' 4802, 春香' 17535, 岩' 11848. 1524, 若造' 20379, 食糧' 11998, 免疫' 5910, カツオ' 23346, vtr' 3460, 推命' 12400, 順応' 6727, 正攻法' 15956, 律儀' 17450, 7' 2111, 中東' 8713, フォーカス' 23405, シゲルフクシュニン' 14854, オプション' 5203, ダイエー' 6097, 69' 3423, 和則' 5066, 肯定' 520, 蒸気' 21129, 深田' 10741, 鉄' 12260, 改題' 14417, プラント' 19542, 近ごろ' 21672, パターン' 3544, 美徳' 19763, 捏造' 23187, チーフ' 5171, 大騒ぎ' 7793, 本年度' 18140, 旧態' 16501, 同じ' 9884, 冷凍庫' 21755, レクイエム' 17610, マスク' 1832, 猛' 5661, ルパン' 20964, 出し' 4349, マーティン' 1072, 持参' 2674, リンス' 5588, 明憲' 183, 横滑り' 21822, 表裏一体' 13123, ベースメイクアイテム' 13237, 弁当' 2679, 逆なで' 23550, てんやわんや' 18449, rules' 16745, スズ' 21868, hero' 9609, 平和' 6655, 排ガス' 19546, 浪費' 18644, たつお' 17181, 盛り沢山' 11909, 予想' 4582, 栄一郎' 18869, わさん' 10132, 最大' 1976, ツイート' 1538, ファルケンボーグ' 22726, 資' 20976, 麦わら' 18875, ジャスティン' 16289, 親不孝' 20522, 競演' 13132, ゴールデン' 8036, 法務' 14587, カキ' 14055, てん' 13600, 球道' 22319, シャルドネ' 11747, フアン・カルロス・ブルゴス' 16624, 親' 1216, 達' 1157, やり直し' 21132, 分断' 22364, 圧' 17775. （' 8795, 退団' 7457, 神速' 10511, ダノンジャパン' 2774, スノボブーム' 11161, 北条' 9674, オルニチン' 5440, 加藤' 5054, ロケーション' 5954, 姉ちゃん' 5285, 作り付け' 11591, 困難' 699, web' 2328, ｀)」（' 8552, 劣悪' 20917, 印象' 150, 提唱' 9770, ウィンストン' 22392, 尾' 18021, 仕込み' 4218, チャット' 19717, 高木' 10504, fabiana' 5027, boy' 12219, モンブラン' 3595, 芽生え' 20378, 連帯' 15780, 端' 2920, アクサ' 19089, child' 10311, 10659' 13181, 終盤' 2725, ニートパフューム' 14256, オイシ' 5342, 買収' 10745, ナウパカ' 16085, 炊飯' 21620, 直訴' 16729, チョ・ジュンホ' 8720, 加奈子' 7196, ネチア' 20456, 地位' 4795, シ' 7272, 毛嫌い' 18982, エプロン' 5095, 北部' 13829, 締めくくり' 16247, 5774' 20237, ヒサエ' 22451, 光景' 457, 好都合' 3149, 鶴' 18368, 隅々' 4887, ネタブラボー' 19331, 害' 14666, 視覚' 14057, 帰国' 6796, サンド' 9833, オークランド' 17781, 結合' 16013, 車道' 7071, 剥き出し' 18325, おそまつ' 19310, 網羅' 21963, hard' 23590, ダイレクトメール' 20113, ボク' 8519, 抱擁' 8237, ノエビア' 11555, かん' 7258, 転校' 17797, 啓史' 15238, 腕時計' 3579, ガス' 7254, ウットリ' 7323, シワ' 5740, 771' 20228, 励み' 9437, 年末' 6299, ユーミン' 11163, 閉塞' 8791, ufo' 9118, キン' 1987, マッサージ' 1864, 血縁' 9645, 悔し涙' 7482, ヤクルト・スワローズ' 11348, 取りどころ' 12198, 玄関' 801, テッセン' 11698, 長者' 1164, オリーブ' 10679, 営利' 16759, へん' 14704, しっぽ' 21172, 114' 9822, 滅菌' 1775, 礎' 9191, 主浩' 19347, 身辺' 2469, ジェロニモ' 22621, 易々' 21971, 翔' 4446, 中出' 22991, 神経質' 10025, 御曹司' 10632, 甥' 710, 長谷' 20632, アレキサンダー・カレリン' 7630, ごろ寝' 15337, あや' 19068, ワールド' 10554, オマケ' 18641, 乾パン' 14504, あっさり' 18171, マサコ' 4495, ティエリ・アンリ' 22181, 妄想' 452, 手法' 814, 売名' 10752, ok' 2299, 230' 7772, 公募' 3695. 4572, toho' 11429, 孝洋' 9422, 職業' 6145, さわ' 10140, 鉛筆' 19495, 特集' 527, 退場' 2521, キャンセル' 10800, 使い' 868, 詰め' 13684, 懲罰' 12595, オキナワーズ' 19881, 亮' 8493, 藤田' 16174, サビ' 7900, 花子' 14736, 宝飾' 22378, bi' 17422, キツ' 4576, ジュワ' 14612, キライ' 308, 8' 1889, uae' 19459, 誤字' 22510, キックボクシング' 13371, ドルトムント' 1229, 何事' 2482, モハメド' 17074, 優位' 9012, 小豆' 17886, ♪』' 16480, ランナー・バルディリス' 21666, 疾病' 22563, 鉄板' 11122, 千差万別' 19243, エドバーグ' 13005, 淳史' 11100, 各界' 8958, 各地' 4750, 互い' 13671, ヴィジュアル' 15214, 226' 20710, 公益' 21449, 感性' 4146, リビング' 4939, らい' 15159, 結束' 5044, 後藤' 14547, 比べもの' 2917, 別室' 12359, 690' 20286, カラス' 7029, 訪問' 3227, 極上' 8918, 選手権' 2248, 我儘' 19841, 麦飯' 14678, 偽善' 14471, みな' 10565, 1974' 23039, 箸' 358, 付けまつげ' 23280, 争い' 3019, 烈火' 21267, ml' 2008, 広義' 12143, メ' 6049, 味覚' 2787, 鼻息' 8356, イレブン' 7280, 釘' 7216, 発展' 6973, ショック' 4235, サネッティ' 18897, 拝見' 8604, テセ' 14340, 初秋' 9888. 「' 6197, 清子' 22315, ベイスターズ・' 12634, デルツマール' 21363, テーマ' 6280, 専業' 499, リズム' 2431, 回転' 2188, あきの' 20715, サツ' 15685, 苦肉の策' 6781, 陰口' 4762, ルミ' 11692, nosawa' 15581, 梨' 14338, 買い手' 9898, その間' 12020, スーツケース' 15099, タダ' 2202, ツヤ' 3642, 解散' 11385, 関' 12817, 知性' 15726, コールドゲーム' 4250, ③「' 22335, 正面' 7752, 両国' 15660, 誇示' 7624, マユピチュ' 16695, 汁粉' 18369, 間延び' 22424, 倍増' 9987, パーフェクト' 15268, 先端' 653, 理沙' 9751, 日替わり' 8171, 祖母' 6579, 連綿' 20793, 対策' 1464, 再会' 4882, ウラ' 8741, マキ' 1899, 居心地' 1119, 同一' 20032, 朝井' 18953, foot×brain' 15242, エゴ' 12265, ロール' 16831, モジャモジャ' 17648, 抽選' 5521, 仏像' 15532, シゲルフクブチョウ' 14844, nishioka' 16808, 命' 1481, 川守田' 10573, バレリーナ' 8029, リース・ウィザースプーン' 20659, 特注' 5280, 部分' 240, 取り換え' 16839, カセット' 10239, weekly' 8470, from' 13693, 明らか' 1158, サジ' 14549, 周知' 13730, 皿' 7204, みずほ' 10855, ノア' 17430, ボディ' 7063, 友好' 16723, ロック' 6163, 確約' 8425, 間際' 20815, インパクト' 4285, キヨ' 9944, ダウニーエイプリルフレッシュ' 21134, もち' 11393, オビ' 10503, fsntweet' 6857, 質素' 14673, ガ' 7227, 天国' 7916, 供給' 19565, 氷河期' 7710, ミキオ' 21887, 産婦人科' 3765, 枠' 3451, アオキ' 5536, 制' 4623, ミラノ' 13779, ステンドグラス' 9404, 束' 18691, 壇上' 22693, 抗告' 15450, 幸枝' 7269, ウサイン・ボルト' 20760, 花' 5490, 販売' 3371, 株価' 4947, 早稲田' 7864, 早稲田大' 20040, en' 22492, トモコ' 1924, 雑巾' 16842, 器量' 4815, エルシーラブコスメティック' 22587, 忘年会' 6466, 掃除' 6221, 返送' 13635, 青' 4596, ショー' 299, 一久' 17046, 動員' 11446, 裏話' 13436, 光熱' 3338, シュールストレミング' 11917, イオン' 11532, パッケージ' 11755, 渡邉' 6273, タブ' 16799, sports' 159, コイツ' 1240, 貿易' 15859, アバラ' 18327, わり' 5816, pont' 18296, フレーバー' 9088, 泥沼' 11515, 正式' 3734, タイツ' 9695, スピリチュアルカウンセリング' 12922, 同業' 21447, 味の素' 7248, 官能' 12689, ｋｍ' 16432, 選曲' 14343, 野' 12725, 小銭' 21354, キチ' 20900, 激化' 13549, ミンティア' 9459, 由貴子' 21484, storm' 14262, 271' 23248, アクラム・ペールワン' 17078, 加害' 13920, 宿敵' 10165, エンタテインメント' 18248, 笑い声' 20944, 新着' 19855, 木漏れ日' 13350, 卓越' 17209, 恩恵' 7588, 司' 10878, 4125532' 17332, かぎり' 1028, 減点' 19991, 前' 402, ハリ' 700, ビューティー' 5446, 隠滅' 19858, ロエン' 18513, 確立' 11802, echika' 21176, 結び' 8886, 失言' 18094, 外れ' 12102, 366' 20279, 自腹' 15705, 驚き' 1635, ヴェルベットフローラル' 11766, 江ノ島' 21230, リール' 13903, ニコタマポタガール' 7327, 矜恃' 19448, トーンダウン' 13672, ジャージ' 7020, 手帳' 3573, ばい' 22373, 外食' 2846, 逃げ水' 22771, スティング' 11026, 特殊' 13893, パーツ' 4320, ノーエンジニアデー' 19294, 風穴' 14478, 580' 14569, フィッシュコラーゲンペプチド' 11528, ベンチ' 181, 37' 387, 胸' 2197, トリー・バーチ' 21580, インディアン' 22651, アルバイト' 1609, ハリソン' 17224, アスパラ' 5512, 時折' 4453, 大畑' 11105, ホヤホヤ' 17560, 二番煎じ' 19931, 祭壇' 12913, 嫌み' 1823, 高層' 17707, 葉山' 7343, 柔和' 19974, 無冠' 19995, ラスベガス' 19649, 訳' 2332, 千香' 20644, 麻央' 9772, ジャパン' 541, マー' 7155, 実施' 4888, くろみ' 15046, 態勢' 6775, 活路' 16112, スタンド' 914, 夫妻' 6684, アミ' 17189, スイートルーム' 11744, テクスチャー' 18835, 館林' 23202, 友美' 5796, 野面' 15203, やりがい' 4581, 朝晩' 5707, 1989' 2236, せん' 16383, 像' 6556, 尺' 22933, ハンス' 13192, オフィシャルスーツ' 18930, 浸食' 16710, 幸二' 14335, 叱咤' 3495. 【' 17350, イチャイチャ' 12358, ヘレン' 13303, 社員' 936, 種子' 10666, ひと癖' 14022, キックオフ' 13560, art' 15430, 売り上げ' 3619, 中軸' 14539, タン' 13400, 諸々' 3884, 難' 7065, 静か' 6489, みのり' 17409, タオルケット' 13449, オーソドック' 18167, smap' 12075, ガンダムモノ' 10484, ナンシー' 6663, ハイヤー' 12912, 平気' 111, 特有' 2879, 擬似' 4567, ハガキ' 6331, インターネッツ' 20213, アシュトン・カッチャー' 8803, 左側' 16545, 焦燥' 15718, 大久保' 8978, 角質' 16467, amazon' 11035, 克' 8587, ミセス' 17061, gm' 3688, ネイティブ' 19715, けいこ' 4078, 下半身' 8945, 悲観' 9289, 留美子' 22682, 選択肢' 5924, 憂鬱' 6293, 千恵美' 21429, 辛' 18915, キューピット' 15289, mlb' 5537, 増殖' 5814, ラファエル・ベニテス' 14999, 撃沈' 19222, パク・ナムヨル' 11316, ぎに' 15568, 麻由美' 14051. 」' 12197, fns' 22486, 笑' 640, ℃」……' 22393, 腸管' 22444, 強盗' 16739, 半' 2368, 手裏剣' 13409, 支給' 10057, 記' 10215. 「' 23377, ひでこ' 21722, 幹夫' 12445, 矜持' 14319, 教' 11800, ｇｐ' 10540, 原点' 7154, スーパー' 6242, 彼女' 663, グローバル' 16940, zero' 4817, 助産' 14621, 克服' 3831, 版' 23626, イベントアテンド' 18631, that' 12397, 弘美' 6158, 一室' 8524, スジ' 17623, kamisama' 17795, 決断' 2471, 正体' 12340, xbox' 12271, upp' 15416, 地獄' 6664, ちゃん' 1396, キャトラル' 21384, キューティクル' 16859, 樫木' 9612, キャリアウーマン' 9958, テロリスト' 14278, 助成' 15894, 自著' 12421, 規格' 13586, 言い出しっぺ' 17690, レフェリー' 8444, 恩義' 14598, エベル・バネガ' 7239, 申請' 4874, マック' 12568, 編' 2827, 春物' 23442, あまり' 827, プレイヤー' 7399, ヤル' 11644, 致し方' 9878, 付加' 20315, 世間' 1191, 言い回し' 2409, ノッティングヒル' 11941, クリーマー' 20817, 宝島社' 2183, サイ' 8147, オクターブ' 19965, ボディブロウ' 15814, すり' 12545, 弊社' 10528, shareee' 20509, ayachan' 14419, 不足' 1448, 鍼灸' 17992, dramatic' 13989, 献立' 11229, 多忙' 4382, ニュース・ノム' 7663, 宝冠' 17536, 分煙' 20434, ウッシー' 17854, 松伏' 8737. 」' 20795, 併殺' 2821, 割引' 15338, ベタ' 3323, スパン' 4974, 咳払い' 19794, 北海道拓殖銀行' 21763, 偵察' 22902, 伏線' 18871, ご飯' 3399, 公表' 2229, 夏川' 4474, 切れ端' 18312, 片足' 22156, 過去' 38, オンライン' 497, 関心' 3606, 犯人' 11082, 海辺' 6454. 」. 21496, 今回' 1856, ノマドライフ' 9602, 要点' 7882, 寄付' 5086, 対岸' 11862, 証拠' 1243, 有吉' 16156, ｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗ' 23660, 源一郎' 14648, レスラー' 7632, 往復' 7079, サントリー' 9079, ハプニング' 10290, 手立て' 7083, 上半期' 9623, トランペット' 17563, tpo' 5150, グレープ' 19606, 南塚' 10145, 麺' 7277, ウンチク' 20901, ミラクル' 10676, 自力' 1760, 途中' 31, シリンジェ' 9355, スケジューリング' 21614, 熱演' 11423, サイボーグ' 14953, イブ' 13783, 温子' 17007, withphoto' 22733, 週刊文春' 203, 手の甲' 18727, 悪女' 23517, スタジアム' 6550, サークル' 8218, ピカル' 14732, 状勢' 21436, ミニチュアダックスフンド' 15477, hub' 22314, テキパキ' 10327, 父方' 2618, ズボン' 268, 襟' 20180, ショウガンジ' 15933, 1200' 2128, 瑞穂' 1372, ブロッコリ' 8138, ランダム' 5243, 収録' 4008, 隣室' 17700, ——.「' 5190, 気圧' 20809, 変動' 4031, クレジットカード' 6206, 増強' 8647, 数え年' 21529, 工芸' 13286, サドル' 21253, 327' 20580, 焼きもち' 17324, 爆睡' 8307, 最古' 20736, 出来栄え' 13425, 320' 19642, セレクト' 13809, ロングヘアー' 20006, ドレス' 1089, 貰い' 10292, 支援' 3701, 定着' 1884, 赤とんぼ' 19511, フレッシュ' 11260, こぎ' 11285, フェア' 6226, 芽' 3095, かいい' 16666. ）」' 8994, 終点' 17701, 飛躍' 11317, 章介' 21918, 内外' 10501, 大安吉日' 12666, ドローボール' 21414, 撤退' 6813, 観点' 11696, 魅力' 1258, 以来' 1470, 文献' 1966, 相違' 16685, audio' 20182, 短大' 19325, ビク' 13669, 千夏' 9747, カラダ' 1839, 分与' 21893, 心遣い' 3602, 連' 17711, アパート' 3299, イニエスタ' 10698, スリーピング・ビューティー' 12693, 券' 10954. ■' 6011, ローマ' 9211, 悦び' 12697, ビット' 18243, 大事' 344, 取組' 21188, 分割' 15185, 誌上' 12511, 健闘' 4020, 幾' 17306, 辻' 13503, コンビーフ' 20605, ペットッボトルホルダー' 16374, 送信' 9893, 果て' 5673, 禅' 21402, 傾向' 532, 画像' 9969, 並べ方' 7873, 112' 3330, 切符' 7483, 輝' 12234, ご時世' 1414, ぴうまくなんないじゃん' 22831, 面白み' 21944, buffaloes' 17956, 箱根' 11373, アウエー' 7035, 短所' 9571, 石田' 5731, 崩壊' 3943, 千秋' 5970, アシックス' 17877, 外面' 15819, ハイビスカス' 5669, 千' 1192, 毛皮' 16823, 関与' 23570, 日差し' 13957, 唐' 7250, アルデバラン' 15936, お世話' 1802, 冨樫' 20478, ポール' 15733, 卓球' 1701, online' 12546, 奔放' 13945, ゴコロ・ランク' 11786, hahako' 6939, 欧米' 866, 英' 4295, 乱れ' 4772, 則子' 21952, バリュー' 17590, 間一髪' 16143, 逆恨み' 5608, トレーダー' 4980, 空腹' 19173, 以前' 643, 寄り道' 16118, 閉鎖' 9265, ワンパターン' 16921, 出典' 22582, アンチエイジング' 5768, 条件下' 17108, 統括' 14449, 郷愁' 18979, 議論' 10899, 茂原' 3231, 先入観' 12180, 溝' 4148, イエス' 22996, フリーク' 18294, ギネス' 13096, 一本釣り' 9000, 質感' 13467, 情愛' 17904, 短期' 12044, bike' 22201, はるこ' 14209. 」' 3572, お決まり' 11959, プロバイダ' 20151, モカ' 2845, 付与' 19808, ｊリーグ' 13951, 更新' 2234, 略称' 12159, 老人' 9827, 性感' 7441, マクドナルド' 20011, 覇者' 2986, 杓子' 15202, 無言' 6410, さや' 17915, 学問' 21811, 発狂' 15984, 清水' 9086, 傍ら' 4585, 整体' 17390, 肉体' 5853, 強壮' 23355, 光学' 19569, アロハ' 17720, 中性' 9249, 沙子' 7082, リサーチ' 1277, 衿' 19259, 大滝' 22009, 牧田' 3473, 月頃' 12528, 売春' 18139, 衣笠' 17126, 陽気' 9069, めい' 10043. ※' 12542, 別冊' 16550, 首' 21244, 占星術' 2480, コメディ' 12571, 鈴木' 4151, 鎖骨' 17058, ヲタ' 9311, ベテラン' 3499, 遺棄' 13196, 余り' 19093, 後味' 11541, 造' 8245, 開幕' 2126, 支障' 969, 喉' 272, キリンカップ' 17595, スラング' 4301, なり' 3833, 象' 13971, タッチアウト' 6651, おかあさん' 18456, ミニベロ' 10342, オンタイム' 19285, リコピン' 20589, テロ・サーサナ' 17971, 白無垢' 8839, 今秋' 10895, コミック' 3313, 再春館製薬所' 15137, ニコラ・アネルカ' 20540, e' 13168, 与党' 12832, 糖' 9085, 真美子' 6387, 一貫' 12760, 大道' 23341, ピアノ' 9894, おれ' 19422, ザンゲ' 14643, 真実' 1340, 支離滅裂' 20266, 茶碗' 18536, フォルティチュード・ボローニャ' 19386, キッチン' 4384, フフフ' 14408, 思惑' 18391, 安易' 1077, 大量' 6632, 凶日' 12667, into' 12377, ケッコン' 17006, 最右翼' 10829, 番長' 9081, 入園' 3238, 肝' 14959, 算出' 13620. 10993, 山道' 13342, 雪上' 19414, ヒラリー' 10665, ％' 547, ユッティー' 21608, ケチャップ' 10448, 先発' 4123, 一人前' 21451, 選び' 1177, 源' 4625, チサ' 11592, ソファ' 3574, 暖簾' 11363, 仮面' 6659, まぶた' 14659, 繁華' 16239, 真っ当' 13093, くだ' 19477, qol' 3243, 祐樹' 7430, 陳列' 8011, 願い事' 14488, 銅メダル' 3841, クエスチョンマーク' 17635, ジャンク' 10472, ———」' 19013, 探り' 18445, 虎視眈々' 20959, アラチャトゥ' 9352, 裁判官' 10902, カフェラテ' 23008, 汗' 1874, スパイダーマン' 11440, 小中学生' 13509, 田井中' 17565, 往年' 18063, 引け' 10891, exchange' 4943, 伊' 8324, 准' 11650, フィギュアスケーター・ヨナ' 23472, 心情' 697, 裏返し' 4289, 洗浄液' 16591, 秋生' 23535, 根' 8130, 通販' 3161, 美人' 595, 255' 16145, 藤川' 20060, バードスタジアム' 6691, 願望' 3662, 予防' 2025, 突起' 8174, ブラコン' 20893, 解約' 22564, 由枝' 21717, 霊前' 6501, 排出' 3087, 末' 1180, ブォーブォーッ' 19704, メンタリティ' 16175, 横溝' 18812, 公恵' 19862, コーディネイト' 18821, 度合い' 10375, 大黒柱' 10250, 未央' 19316, 双子' 6841, ヨードグン・トーチャルンチャイ' 19796, あなた' 1644, 加藤茶' 7961, タウン' 9414, 寿' 8863, 冷や汗' 9025, 人望' 14760, 薬局' 9027, 光子' 1568, 即興' 10795, ユニス・マフムード' 20928, ひざ' 3258, デュアル' 17133, 利香' 9945, チャレンジャー' 13608, 腫れ物' 18382, 尚人' 21913, 来期' 20576, なでしこ' 538, 区内' 21422, ダンナ' 2330, 届' 12336, トーク' 1580, 主' 424, —. 9540, ココア' 18731, 演技' 5558, 緊迫' 11868, 朝風呂' 23502, 平穏' 14390, トール' 17848, contents' 22312, 鶴岡' 22076, 諦念' 21699, 道徳' 22799, 講座' 7502, 気合' 5116, 官僚' 10731, 素足' 11742, 2010' 1002, 長船' 13021, 送料' 13621, 詩人' 15147, フェルト' 17483, テイクアウト' 11278, 先約' 3518, 死闘' 10316, 悪循環' 12734, guapo' 12483, チャラ' 3871, おまじない' 17801, 取り柄' 17846, 買い物' 1929, ten' 14196, 優秀' 250, 見極め' 17467, 例年' 3078. 6862, 累計' 14932, 望' 18912, サニー' 18742, 引く手数多' 17713, ニンニク' 20356, 需要' 7563, クリニック' 3797, チームメート' 10488, トースター' 19190, 後進' 10509, マーヤ' 16562. 12187, 増長' 14984, きょく' 7438, 全部' 255, アリソン・ストーキー' 20909, アダマンドポウロス' 19823, 陽性' 8768, 読返' 20840, ソテー' 5420, 省' 2907, 86' 5525, コウジ' 15709, 丁未' 2622, 帰宅' 713, 手段' 3605, アタマ' 17286, はさ' 20956, loncafe' 21243, 他力本願' 6967, 下馬評' 12420, ネイルサロン' 9180, 勝典' 11259, 育成' 4778, スティック' 22679, 熱烈' 13070, スパルタ' 11875, メルヘン' 5635, 信州' 4456, 楽勝' 13348, 辞退' 6509, コレッティ' 21874, 掲出' 18795, 65' 6940, 除名' 16499, 意義' 11268, パチーノ' 21026, 肥立ち' 20877, リーガ・デビュー' 15021. ）. 22607, 物忘れ' 11695, 計算' 2502, 本' 5001, 猪山' 17442, 発音' 16697, ダンディ' 7100, アイコンタクト' 20073, シンプルリスト' 17307, クリステル' 18414, 杭州' 12596, 置いてきぼり' 16215, アトランタ' 15574, クリスマスツリー' 20403, セーム・シュルト' 17196, ジョン' 6681, 大竹' 3356, モロゾフ・コーチ' 12516, 独走' 8641, fish' 23540, 狩り場' 23010, 受け方' 14960, 火打ち石' 18362, ホアキン・カパロス' 16245, 一巡' 9908, 業績' 10861, カリスマ' 8920, 前言' 14981, 貴士' 20865, モロ' 12514, 618' 17124, ツヨシ' 13668, ひと汗' 14216, こちら' 927, 検査' 3813, アルベールビル' 12896, 五分五分' 15199, 1980' 19475, パスワード' 19861, 形容' 12765, ポータル' 10105, メイクテク' 19627, 不人気' 19341, ざった' 8231, ハイライト' 18292, 天職' 19972, 整髪' 19080, 予備校' 9513, メディカルハーブコーディネーター' 14165, smar' 17482, 本質' 6946. 19683, スムース' 22988, 和佳子' 10387, 調' 8325, 脇の下' 12731, 帳消し' 13703, 璃' 20399, 面' 437, クッ' 23588, 本部' 3536, 忠実' 22306, カラオケ' 430, 序' 15827, キマグレン' 20176, カリフラワー' 8137, ドラマ' 834, 川' 7116, 不憫' 13255, 一寿' 18672, 八つ' 13517, 上積み' 20285, 同室' 18082, 辞典' 21376, ひき肉' 5463, shueisha' 23069, 暴落' 6753, 万田' 20003, 大義名分' 18444, おしっこ' 8774, 95' 8629, 小僧' 6761, 働き' 3104, おおらか' 7164, 最長' 2912, グー' 9512, さんま' 2856, 意訳' 22047, マトモ' 21286, 運' 1060, 宣戦' 23082, 寒' 18728, dna' 20610, 親切心' 19765, オーデコロン' 5593, 実像' 6539, 外見' 7123, タイトルマッチ' 16408, puffy' 17315, 半減' 13178, ギクシャク' 5708, eight' 23056, サタネプベストテン' 8615, トム' 8520, 役員' 7356, 縁起物' 8874, 浴' 6469, 形態' 19047, 順子' 8283, 覗き' 4880, あさこ' 7326, スティーブ' 1065, キリスト' 22304, カラット' 22380, akbingo' 10994, 古株' 10990, ツリー' 20404, キャリー' 15097, 二分' 14979, 水面' 8732, 寺田' 9479, 札束' 13551, 一条' 12165, 庭付き' 17033, 緊張' 5599, on' 13690, 所帯' 17063, 真後ろ' 22324, 遊軍' 14987, 王国' 12029, 発散' 3213, 加' 2719, 突入' 3620, スカーフ' 19767, 装飾' 19507, ホテル・アドリアーノ' 4685, 鉄則' 1251, ひな祭り' 21084, 持ち' 16593, 浅草' 11377, 豊穣' 16081, ラバー' 17861, ゲット' 2146, 本来' 685, 続けざま' 22923, 容認' 17612, 送受信' 17799, 担当' 3278, カイロ' 10477, shelly' 12242, サポーター' 6712, 臭み' 11904, 渡' 6168, 家' 103, 美技' 4835, 走り' 2721, スピーチ' 2323, スナップ' 14038, 1962' 21911, 脳裏' 11331, ラケット' 12478, つわり' 2953, 太平洋' 12488, 涼' 2073, 無死' 20029, 対処' 5357, sbs' 16856, 流行' 4737, ゴージャス' 1122, グレイシー' 4856, 中京' 10685, スリックタイヤ' 13329, 日取り' 10021, 炉' 6524, 留袖' 11599, 能率' 10086, 側' 2634, 黄' 8143, 味見' 12539, 尾野' 23556, ラブアゲイン' 19270, 興味津々' 11394, ぐぅ' 11225, 一新' 172, wide' 19281, digital' 15793, アスレティック' 23419, ステーショナリーフィギュア' 16599, ナベツネ' 16738, 対立' 19734, 主要' 8632, 労り' 13171, 戸惑い' 15204, 神経症' 22659, トリー' 21565, 外資' 1865, 堅' 22555, 肩書き' 2790, 様変わり' 18974, 一茂' 5241. 22668, citation' 19596, リリ' 4531, 千佳子' 2771, winner' 17831, 克也' 147, 人任せ' 9873, 山寺' 23094, 直前' 1356, carat' 22381, 処置' 8782, 二者択一' 17132, 売上' 6956, レポ' 2833, 高瀬' 18934, ラニカイビーチ' 17722, 1993' 8620, サディスト' 9524, 周波数' 5151, ギャラ' 6845, premium' 23320, 選好' 19754, 凡人' 6045, ユウゴ' 21636, ファッションデザイナー' 17871, たる' 13057, ビキニ' 615, 和菓子' 10467, 発泡' 16104, 007' 11492, アサリ' 23001, コチラエッセイコミック' 18585, キロカロリー' 1842, 不詳' 15215, 切り抜き' 17800, ダニー' 16416, レディコミ' 12163, コチラモバイル' 21276, マスト' 12326, 英雄' 20013, 引退' 1513, マジマジ' 6988, 苦痛' 2657, 征服' 16862, 薄っぺら' 5799, マガジンハウス' 18645, コカ・コーラ' 18119, 小出' 17629, 癒着' 8793, ミア・ワシコウスカ' 18236, 創造' 15678, 後手' 19005, グワッ' 13788, か国' 11646, 惨敗' 5053, ホタルノヒカリ' 9214, 義援金' 21348, 1194' 21826, www' 7142, 銀' 5851, 疑念' 23122, ボルヴィック' 6252, 則' 11620, 殴打' 21872, シシー' 18159, こと' 123, 橋本' 18975, ミニッツレシピ' 7252, 趣向' 2093, プレゼン' 12182, ジョコビッチ' 12998, ディープ' 12208, mean' 16815, 一美' 13266, 尾関' 18207, mac' 20088, jfl' 8810, 我が身' 3470, 星雲' 12722, 2007' 5129, しとやか' 11821, 毛' 635, オール' 19911, 和式' 22269, エディ・レッドメイン' 22222, 劣等' 9022, マスオ' 11018, 持ち物' 4781, 白系' 18700, 最寄り' 1445, バコール' 1167, 研鑽' 23174, フォルム' 19394, 総出' 20065, 欽一' 18286, 450' 5500, dx' 9413, 地' 6322, 千鶴子' 6386, 1950' 16309, アナウンス' 19442, hair' 11080, 事後' 20380, デスヨネー' 16031, 委縮' 11379, o' 8983, 伸夫' 16950, 成人' 8985, 直観' 13978, 梢' 1744, スクール' 4612, 朝子' 7996, rights' 16767, おさらば' 12978, ディアス' 19418, ハル' 4420, 嫌忌' 22572, 美姫' 5276, テンプレート' 15138, 酒造り' 13264, 麻雀' 13073, ボール' 82, ブレット' 22599, 拍子' 1259, ヲタク' 19071, 甲骨' 11221, 雇い主' 18518, 多種' 10419, 問い' 4354, おわび' 10548, 先方' 9771, 今野' 10815, 相手方' 18744, ルーズ' 18192, 恵津子' 22140, not' 12368, あやこ' 22475, ガンバッテクダサイ' 13715, 開口一番' 17148, 深川' 4448, 赤枝' 20867, 糞' 1517, 開' 6783, 所感' 10162, 細心' 7077, ソロモン' 12767, カップリング' 14394, 明示' 18141, バンキシャ' 22098, 崎' 23629, 大リーグ' 8254, 処刑' 13321, 悪玉' 11669, よろい' 2847, 万年筆' 3609, 独り身' 3681, 速球' 7792, シミュレーション' 14006, 選び方' 15393, 武器' 1195, 心労' 19757, ブサイク' 14432, リーダーシップ' 17381, girlfriends' 13137, 内藤' 7756, does' 16813, 照れ笑い' 5128, マリッジブルー' 14473, ホール' 4103, 京' 8643, 百合子' 15564, ちび' 13077, 発進' 19775, 伊野' 21701, 保守' 9567, トーアローリエ' 19303, diary' 23542, 台無し' 16226, セラミド' 5749, おせっかい' 12098, 三木' 16203, 改善' 3795, ヒエラルキー' 23197, ブロガー' 7033, 公約' 22783, 射程' 9578, 棟上げ' 12652, 久住' 18070, ハードル' 3645, ムネメシ' 22375, tomena' 21571, 叔父さん' 21662, 義兄' 20891, ワッ' 14487, マルセイユ' 22490, 白河' 16573, 貴理子' 19696, ハラ' 7124, ワケ' 3846, 洗脳' 17382, toerafrika' 10120, 当確' 2975, 職種' 2424, 立て' 21624, オロックリン' 7834, ガガ' 21353, ショット' 5452, 適性' 8579, エステテシャン' 12035, 注釈' 22798, 薬用' 11562, おっちょこちょい' 12498, ％. 22687, アニマル' 3218, お膳立て' 19787, サクリ' 15991, クシュクシュ' 5575, 栄養素' 9256, カタール' 13770, 名ばかり' 22994, 殺し' 19001, 手数' 15124, 不適切' 20214, 対義語' 21638, 灯' 886, 観光' 9221, 自動的' 4891, 年上' 2648, 合理' 9702, 募金' 6224, サムライ' 8711, 例文' 22035, ネオジム' 19544, 要所' 16679, 果' 23205, ！. 3331, 親子' 1952, 13' 3743, 梅酒' 19202, 啓発' 12917. 【' 18084, 仮装' 16167, ボンヌ' 8968, prp' 16641, 同様' 2172, 趣' 20041, week' 22979, 57' 7180, エスニック' 22646, 段飾り' 21096, 健史' 15184, ブルックマン' 1133, ヴェルディ川崎' 5598, 進路' 6573, チョコレート' 6207, 義援' 21352, 中尾' 21497, 俊輔' 13953, ドーピング' 16002, 皆' 1027, 魔女' 4655, 匡' 8718, 誠司' 8246, 復権' 19905, フジテレビ' 17, スノーボーダー' 12282, juju' 14359, 172' 19112, オプショナルツアー' 16105, 高樹' 2767, 97' 8628, そっちのけ' 18437, 武井' 15882, ジンジャエール' 9889, ntt' 6411, 証明' 5733, ロン' 20535, 扶助' 21892, 理香' 6253, 女のコ' 19637, リアリスト' 9529, 照之' 21916, songs' 21346, 花盛り' 18177, 恩' 8463, 佳代' 13012, 空白' 13662, 存分' 13387, ゴテゴテ' 16866, ひたむき' 13562, 苦' 6292, ヤマイモ' 17373, かま' 2701, キャサリン' 7730, ムック' 7249, ハーフナー・ディド' 13716, 2009' 1594, マリン' 18253, イニング' 2799, タッチパネル' 11478, 正常' 8780, 沢山' 5300, エヴァンス' 11319, 600' 11534, 職歴' 4879, ポタガール' 10581, 霊柩車' 21804, 艶' 10869, 出不精' 20108, yoshida' 13697, 燕' 11546, 意地っ張り' 11907, リード' 4863, シャンパンハニージュレ' 11757, バージン' 582, 豪傑' 14753, 久義' 2382, 権威' 19079, はけ口' 13475, ピース' 1887, 涼太' 15954, 共同通信' 8698, 八代' 7909, パサージュ' 9134, ひいき' 8007, 彫り' 22650, 採点' 8756, バンクーバー' 10505, 未知' 12892, 下腹' 6445, パース' 20328, 用意' 2396, イナイ' 10856, 内助' 14956, ラテン語' 3735, マドンナ' 15271, 押し入れ' 17809, 食分' 19160, グランド' 9334, 中久喜' 20081, 弱体' 18891, 品数' 8148, 西野' 17100, white' 22911, 年内' 6298, 漢方' 3065, スタジオアリス' 13524, 康祐' 6148, 20697' 13182, エログロ' 12155, 一定' 4997, ヤクルトスワローズ・' 12232, 行楽' 17730, ウド' 20112, プロポーズ' 1163, 絵美' 15474, 前置き' 5191, 破り' 20488, 幽霊' 18228, 飛び入り' 17507, 内包' 20455, 連投' 19535, カナ' 11730, ユニフォーム' 2081, 短冊' 14110, 自軍' 20832, 使い道' 4977, 礼状' 15767, ダブルボランチ' 19936, fx' 18485, 菌' 2792, 今年度' 15284, かおり' 13081, 視線' 8966, うたた寝' 3209, 何もの' 15192, 勤め先' 6150, 強権' 21748, リユース' 5405, ヒロキ' 17506, 会釈' 15119, アサ' 7917, ローレン' 22915, 少子化' 9904, どなり' 11979, ボード' 8833, とろりん' 11746, ザック' 7459, 音声' 4268, 遺跡' 9328, 損' 1514, b' 922, 抽出' 5785, 大伯父' 9301, 一族' 2566, 定職' 13167, ．' 11327, 清野' 21592, 亀裂' 2698, リペアライン' 19597, 佳之' 16636. 」「' 8693, 浮き彫り' 7580, 別荘' 3306, 厄年' 13014, 再販' 10424, ミハイロ・ペトロヴィッチ' 17096, 確執' 5613, フリーダイヤル' 14508, 女手' 694, さき' 12664, クリア' 2251, カットイン' 21474, オールド' 21825, 談' 1778, ヘトヘト' 4387, ランドセル' 7379, 3' 108, かわいそう' 7364, ユーブライド' 22637, ふた' 5282, 充血' 14407, 八重歯' 23284, したて' 2676, トミー' 11782, バーテンダー' 7342, ナオコ' 7891, 腱' 7237, ピザ' 15053, 本上' 23217, わが子' 21680, 大野' 6827, fugitive' 15728, 金粉' 15466, 徹底' 1879, アットエンタティメント' 10771, 心血' 7949, 爆弾' 15775, ハンバーガー' 20835, 本音' 1326, 奥底' 1282, シゲルマドギワゾク' 14853, it' 1447, イラッ' 2308, ストックホルム' 6889, 上出来' 3445, 与野党' 22040, 若井' 20046, summit' 19742, 叔母さん' 13127, 総称' 5889, 手品' 9097, 四国' 21147, 牡' 15941, 寿枝' 5019, 消防' 11990, 重点的' 20296, 激写' 22748, 深夜' 58, 理由' 401, ソノ' 19751, 三角形' 897, ヨナ' 12873, 安心' 1836, 医局' 4480, ストック' 14353, 斗' 4262. 1844, 脱出' 6144, ユーザー' 2783, アーバイン' 17839, 陽介' 11992, i' 4352, 結婚式' 1474, 謙次郎' 19075, 間接' 12535, 姓名' 17378, 集計' 3128, あやふや' 17843, 市外' 20676, 割増' 19101, 霊的' 8432, 波瀾万丈' 11918, 神川' 15757, 微塵' 7087, 尽力' 15200, 色合い' 793, 音さた' 8675, 浅はか' 20207, イワガキ' 23003, play' 20177, 奴隷' 15825, 市町村' 7375, 石川' 7921, 敏久' 19915, 遼' 8706, づち' 251, 駆使' 698, 汁' 2036, 立体' 815, 廃藩置県' 2607, カーディガン' 11732, 発情' 18674, 番目' 5974, 赤味噌' 18375, プレミア' 10269, スタジオジブリ' 4688, 抗菌' 2001, 宅配' 12094, 債券' 4992, 申し訳' 1367, 地動説' 13346, deb' 17115, モチベーション' 5975, ワーク' 2970, 休み' 2659, 合流' 17042, カーライル' 19308, お嬢様' 13811, 起用' 2533, 明美' 1308, 広島' 7671, 逸話' 13556, スラブ' 10171, マリー・アントワネット' 16292, 毎日新聞' 20895, 求人' 6447, 弘' 9421, 玲於奈' 21682, パーラー' 11771, マツ' 13952, 35' 271, 大沢' 17637, チヅル' 15716, 階' 6766, 金' 15384, それら' 466, 斬新' 5880, ユキエ' 21829, ベター' 16208, mission' 8568, 伝言' 18698, 続編' 22286, 冷やか' 8646, 金沢' 20513, きっかけ' 644, 晩年' 15144, もらい手' 5389, 信彦' 18085, 盆' 7179, 半面' 12994, 異議' 3724, 慈善' 10705, 目盛り' 21633, ミキモト' 22379, しらが' 8890, 協' 15176, お家芸' 5049, 個所' 8531, ダーク' 1738, ゃんただ' 17001, 残高' 4996, 推薦' 6102, 無限' 9697, 段取り' 15720, 撲滅' 20529, 皇室' 4754, ラミ' 21830, 死滅' 22026, 賽銭' 21862, 邪魔' 5419, 周平' 18537, 日刊' 16003, 結子' 15472, 発生' 6697, エスコート' 11228, 女王' 1599, 行間' 12782, 巻き返し' 9467, 対極' 9836, 迫真' 13421, いっき' 18334, 常盤木' 8636, ∞」' 14280, 東海大相模' 23614, 雅人' 12456, 熱田' 16670, 役職' 9869, すぎ' 3635, walk' 22199, ワンポイント' 17116, 画' 6546, 楽器' 6166, 長続き' 2500, とうもろこし' 3054, 来訪' 5391, ようじ' 6433, 生物' 9574, 花束' 7668, 高崎' 12446, 新大久保' 15529, 積算' 18859, girls' 10952, 有識者' 11463, 会合' 10011, 調整' 2016, 健' 10092, それ' 68, 記念' 1586, 祝' 11765, もろ' 18092, トラブル' 602, こう' 21437, 永' 32, レイチェル・ワイズ' 16554, スパイク' 5884, マシソン' 20031, 現実味' 11962, 叫び' 6921, 運勢' 8421, ビンゴゲーム' 21777, バイタリティー' 6392, ボス' 17996, 摘出' 8777, 随時' 18973, デメリット' 3198, 曹永' 23513, ケ月' 15672, 握手' 5043, 久松' 10888, 真っ直ぐ' 2375, アイスティー' 2039, マザコン' 317, 志望' 9638, 方正' 13724, 他言' 20358, 版' 2205, 毅' 7762, spring' 22333, 冬' 2462, 続き' 9611, 付き人' 18336, 下痢' 18169, 勢' 4024, あぜん' 22787, 年俸' 5231, ゆきの' 13362, 差' 662, 最南端' 9380, ハードオフ' 16962, シャワポワ' 15255, ググッ' 14804, 嫌' 867, ブルドーザー' 18326, 工藤' 6067, 付け' 9552, 常備' 16603, 沸騰' 3289, 文庫' 16544, 能町' 10035, ポケット' 15843, 連弾' 13151, 彩子' 22606, サバイバル' 5370, 三昧' 7410, 卑猥' 23150, 入部' 21006, 木佐' 22604, 質' 3516, beetv' 8919, 指導' 4809, 金融' 4948, 折' 2803, 夜道' 1395, 身の回り' 16113, レストラン' 787, ブルドック' 17917, レンジスチーマー' 20602, 贈答' 22053, 時半' 8112, 手洗い' 9936, 州' 1562, konnoduo' 15417, ケセラセラ' 17051, 確実' 1086, ウエストブロミッチ' 21846, 各位' 20209, エンジニア' 15927, スタンダード' 7587, 和装' 8885, 大臣' 5736, むき出し' 1666, 爺' 10704, ブルージェイズ' 8583, ——' 105, 多里' 20788, クロッチ' 13800, 持ち越し' 4193, 此処' 19600, 小振り' 3102, あく' 18694, 森山中' 4168, 混' 23445, 哲也' 11573, アルサッド' 6555, 芥川賞' 10224, 2030' 9837, テンパッ' 18385, 教育' 3284, それなり' 3205, 槙' 22205, 將氏' 20579, 混じり' 8796, 焦り' 2354, 痛感' 3826, 割れ' 4949, 万病' 16804, ゴーバスターズ' 16987, ギュ' 18234, 遣り繰り' 9157, 味' 1852, 軍' 2084, ペア' 7390, 法案' 18650, 3000' 8630, ぐりとぐら' 10149, ″. 16336, ヤケド' 21217, ぐっどうぃる' 8014, 八潮' 10927, 解決' 5567, クビ' 5237, 真夏' 7264, df' 4297, みずから' 11376, カージナルス' 15543, ヴォルフスブルク・' 18203, 00' 4234, 恋仲' 15921, 法華' 23224, 可燃' 19378, モッチリーノ' 15041, 我ら' 12226, トホホ' 17881, 先ほど' 18384, 財閥' 10618, 羊' 23496, 隔離' 21403, ニュースキャスター' 4465, ヘバリ' 22808, バロン' 8696, 桜' 5957, コツ' 2663, 剤' 1827, ポジショニング' 17554, 清香' 312, 年功' 4785, 玲奈' 10223, フェミニスト' 18677, イスタンブール' 9384, 調子' 665, 水道' 11410, 語彙' 17905, 113' 14762, 漏れ' 9982. 」「' 15110, 抜擢' 2524, レアーズ' 7287, 伽' 21706, 歯肉' 23286, 月曜日' 18059, ストローク' 13996, 空き缶' 19327, スケートリンク' 23106, 新車' 14992, 転向' 10103, oa' 16372, 充' 7400, 町内' 15063, ヨルダン' 9634, 旨味' 14663, アーセナル・リザーブ' 23297, 一恵' 5014, 指紋' 7526, 早' 5289. 」' 22531, 不況' 4589, セルジオ' 3440, ビジネスボイストレーニングスクール' 5154, 照射' 18854, ビオプレーン' 2764, テニス' 528, 観覧' 9056, iconiq' 19650, 手伝い' 5291, 雨' 5348, さん付け' 9554, シーユー' 21333, ボンベ' 16694, オンエア' 9468, ローマン' 22618, スローモーション' 16281, 煮込み' 15039, リフレッシュ' 6465, 音痴' 6183, すっぴん' 12036, 在職' 18695, 鴨' 19439, 儀' 22204, 礼服' 8896, なじみ' 11958, 自業自得' 7147, 一世' 13574. 7822, みづき' 17576, いね' 22430, ツイン' 22159, 華道' 15750, 便通' 22031, 楽園' 17167, ファッション' 124, 彰二' 15008, 月刊' 12157, 真心' 22061, 繊維' 10641, 大学' 461, 800' 5699, 中西' 3443, 自費' 22561, イマイチ' 3877, 両論' 2935, 敏捷' 6370, 有美子' 21658, 頭蓋骨' 17048, 茶色' 8651, 麻也' 10270, 解除' 15701, チヤ' 8050, 底' 5163, レベルアップ' 14061, 得票' 12172, 改編' 10802, 寝袋' 9678, 瑚' 21681, まつり' 9110, ブロッコリー' 20597, 穏やか' 2064, 前作' 14393, 体格' 7935, っきり' 2673, セール' 16191, 「−○? 」' 15680, おべっか' 18685, ピア・スンダーゲ' 21870, カサ' 8570, 打' 8315, ニコラ' 16662, 手書き' 6341, 上演' 14259, 実直' 4416, 振る舞い' 5999, 穏便' 4502, 和気あいあい' 12303, イエローカード' 8447, 唖然' 17657, クリエイティブ' 14211, 持続' 9589, 貧相' 20554, ダルイ' 5326, 刺激' 5807, 完売' 2098, 350' 20598, ペナルティー' 20489, 限り' 182, 幕開け' 2522, ホームレス' 6214, スクイズ' 18226, 6400' 14594, 着用' 5868, 物音' 23504, ボキャブラリー' 4137, 経歴' 11933, 和解' 16523, 貴美枝' 16922, ゃべくりやばい' 20920, 春恵' 19690, 手' 811, 三重' 5921, tokyo' 1885, 常明' 12728, 喝' 21942, ミズエ' 9715, 料亭' 8590, 炭酸' 1981, ノリコ' 13856, 塚' 12810, 191' 16926, ラリー' 10360, 録' 14081, 美点' 20020, 色どり' 22865, 旗手' 7628, 実用' 12580, 聖火' 22641, 闘い' 18870, 小原' 10575, あっという間' 21653, 退職' 983, ムキムキ' 14101, コンソメ' 20587, 丁度' 3691, 役名' 13078, mirror' 3955, ♂」「' 17525, 安眠' 21503, 昂' 14909, アラフォ' 23376, イクメン' 2930, 秋季' 22970, ニフティ' 21897, 容姿' 4152, 事例' 11081, テルマエ' 21584, 徳' 8909, 國' 15011, 新星' 18969, まろやか' 2762, 直子' 10154, 再編' 17283, 有用' 11674, シゲルリジチョウ' 14850, ぽか' 10443, 下火' 16883, 嬉々' 4782, 藤' 11843, ガハハハ' 18422, バナナ' 21233, ジョーウィルフリード・ツォンガ' 16490, ポコ' 17049, cia' 22910, キャラ' 446, 春季' 15550, 祖父' 2587, 読み応え' 11924, 匹' 760, ポーチドエッグ' 21632. ？' 19083, 経緯' 4179, 挫折' 11577, blue' 9382, 音楽' 1381, ワンシーム' 11615, ∞' 14261, yasha' 23528, アーセナル' 12879, 二次会' 12638, ゼリコ・ペトロヴィッチ' 17097, 杏' 7306, エアロビック' 20875, 昨日' 1489, フルーツ' 2761, 敏子' 12936, 遠巻き' 6968, 改造' 12489, 越冬' 7919, メダル' 30, ベジタリアン' 12556, さよ' 11274, レナード' 19139, つぎ' 12660, 変性' 18862, 力持ち' 20773, ぴら' 5437, 勝馬' 20284, アルテミス' 9369, 千利休' 20981, おばあさん' 5800, ムード' 803, ナオ' 21542, 大海' 14152, 展望' 10707, 紺野' 15427, 昼過ぎ' 7199, 発掘' 15507, 音沙汰' 8607, 土' 1688, みき' 13728, 最盛' 16683, 神頼み' 11374, 美由紀' 3571, たび' 1911, マイボール' 14314, se' 18567, 草花' 23212, 理想' 850, 共働き' 9430, 切磋琢磨' 18993, 近臣' 14660, 一辺倒' 13660, ウイスキー' 17322, 圧倒' 15528, システム' 4037, セーシェル' 23406, 総評' 19835, シャキ' 13605, 薬屋' 16607, 琴乃' 20401, ネチネチ' 7709, 皮肉' 1143, 取りやめ' 18636, 毎号' 18538, 納車' 19401, 目' 14032, aat' 3230, 車体' 16439, 祥雄' 19918, はしご' 13412, 前述' 4101, 正博' 14792, 敷居' 10577, 弔電' 16832, 高次' 17754, jtb' 16063, ウエディング' 17726, 宣伝' 9298, 武司' 3500, ダーリン' 11116, 小澤' 6548, コロナシネマワールド' 13202, いちばん' 6037, 閉口' 409, 新' 7345, 泣き寝入り' 13912, 82' 9845, 林' 9495, デッカチ' 23105, 言葉' 678, 文字通り' 14260, ネットワーク' 16764, ディーン' 8340, ｋｏ' 19420, アテ' 16481, オケージョン' 10000, ユキ' 4386, 量産' 14581, ターザン' 14763, 解剖' 7951, 隆' 5226, 妻' 460, デッドヒート' 23342, ハーモニフト' 16064, うっ血' 17763, ？. 14098, 漂泊' 22788, 艇' 4661, 神戸' 1232, inac' 8634, レイ' 1129, 視力' 14699, 拝聴' 23256, 属性' 3880, 躍起' 13771, 教示' 7500, 別世界' 12632, zozotown' 16199, 家出' 14525, 石井' 7096, 暇つぶし' 19602, 来' 6710, 汚名' 7132, 精液' 22989, 消防車' 21492, 則夫' 3020, circle' 21816, 柏原' 22252, 価値' 1005, 出合い' 12718, ヤリ' 3910, 平成' 1234, マゾヒズム' 9520, ハビエル・' 18893, 冷却' 1787, 関根' 23310, 密告' 10722, デパート' 1125, デトックス' 8946, 加奈' 10100, 都市' 7206, 勤' 15601, 長嶋' 4330, 治' 3762, アカネ' 4702, ネプチューン' 13836, 金魚' 15341, 記憶' 6117, 入れ墨' 17302, タイミング' 2670, 子犬' 15908, 恋心' 7544, 上川' 5050, 窓辺' 15926, ガーナ' 20874, デコボコ' 13340, ミニサイズ' 10066, 馬券' 20294, 奇' 1710, 簿記' 2449, 除' 22263, 所定' 6216, やけ' 8800, 小皿' 243, マガジン' 1716, 匡子' 15405. 12314, むやみ' 16627, 童心' 10129, 浩之' 13100, 失格' 5228, 不安' 219, 用心' 7076, ミズノトラッククラブ' 2263, 抵抗' 5835, プチプチ' 10653, 同職' 14831, ワクチン' 22148, 自尊心' 12203, インタラクティブ' 5936, 近大' 14422, 感激' 5583, 53' 11558, 山形' 8820, 尚早' 8735, ラッド' 20662, こうせい' 23251, 付' 8814, 指先' 8758, スペシャル' 1557, 花びら' 16075, 端末' 23599, きのう' 14197, 場馴れ' 15692, 本性' 17229, 昼食' 10069, 良郎' 18421, 我慢' 2297, 意地悪' 4761, キムチ' 15517, ベッド' 1325, 首位' 3959, モットー' 15133, お詫び' 8824, seen' 23156, 心拍' 23421, 収容' 21845, felt' 8041, 親父' 13718, 高裁' 15458, zakzak' 9639, over' 20933, うに' 22541, 上位' 2741, 裕英' 23658, おませ' 19483, 出棺' 6520, 『. 16123, クリエイター' 14902, レナ' 22841, 干物' 7694, 売買' 20050, 軟膏' 15075, 最高' 425, アンナ・クルニコワ' 20758, ムース' 19928, タクシー' 1631, その後' 725, 笑い話' 20196, ラスク' 17534, 累積' 5337, カロリーオフ' 17740, マズ' 15312, 也' 5119, 江角' 18388, 純一' 5703, 応戦' 21516, シンガーソングライター' 19798, 機構' 6082, 問い合わせ' 20983, まき' 6285, アウエーユニ' 7032, 月経' 8790, フェードアウト' 18469, 帝国ホテル' 18540, 祖' 21871, 隅っこ' 10038, フラダンス' 6371, 朝鮮' 14341, ランカスター・バーンストーマーズ' 19914, 電車' 392, 響き' 1704, かき' 12753, ckp' 20184, リーグ・ディビジョン' 6714, imf' 21920, 奈々子' 6133, 配信' 4161, 真聖' 5602, ヒーロー' 4861, 浜崎' 13532, ババア' 13336, ちょう' 16790, 桃の節句' 21985, リークス' 13059, 坂本' 7604, ワンダーボーイ' 22180, うっぷん' 14164, 奈美恵' 13991, 該当' 3363, 天下' 13587, アンテナ' 20546, モテネタ' 14565, オクテ' 7401, 臭覚' 14058, モレベル' 18478, 栄美子' 19662, aiko' 17988, アクセント' 5185, ポケットムヒ' 16602, 空中' 4700, ダノンビオ' 2745, せめぎあい' 21381, 輩' 7070, ktc' 14655, 密林' 556, 返答' 86, リーフ' 21792, ジェラール・ドバルデュー' 19153, アングル' 6759, オトナ' 1142, 映り' 21378, 賜物' 3867, キノコ' 16703, vcr' 21023, 裁判' 10910, 時効' 16206, ときめき' 7332, 狡猾' 21100, 瑞子' 21927, ライリー' 6677, 下流' 21691, 1996' 17979, 妙' 6406, 伊勢谷' 20218, 国際線' 19768, ヒイキ' 6068, 呼ばわり' 7066, 私事' 17834, 注視' 11378, 31' 385, アメリカ合衆国' 2388, パワー' 4525, 送り主' 17067, 歌手' 3022, さなか' 10249, メロ' 19412, 内情' 10986, 持ち味' 1235, トライアル' 9161, 矢先' 113, 土壌' 19585, 内訳' 19457, ディスカヴァー・トゥエンティワン' 22797, 点数' 5184, ㎡' 17160, 売却' 2118, 長押' 17688, 消耗' 7988, オレオレ' 11939, リチャード' 21827, 他方' 9705, 赤面' 11651, エマ' 3593, 英明' 23533, 相' 17895, 婿' 11014, お手伝い' 7174, 尚子' 2238, 亮子' 2195, 転職' 3381, 性能' 19407, ジカ' 16390, あちら' 5374, リサイクショップ' 21863, 案内' 9356, 食品' 5491, 和己' 19130, 卒業' 6997, 腹の中' 8794, 船橋' 16948, 物騒' 10391, 流血' 642, アイコ' 10859, 白書' 14837, カエラ' 11058, 正輝' 14018, 初頭' 2604, バスローブ' 1352, 代位' 17771, 感銘' 20931, どちら' 311, いっしょ' 313, 縁組み' 8884, び' 12570, トド' 10458, 高校生' 4565, ラ' 19136, クソ' 19462, エース' 2178, 上書き' 22246, 見合い' 2492, 他校' 17718, ミヨ' 22690, ごたえ' 11701, トイプードル' 767, 不意打ち' 9732, documentary' 11004, 栄冠' 19999, ワールドインベスターズ・トラベルカフェ' 18061, 品質' 18261, インライン' 21900, 画廊' 19980, 隆司' 14646, 奨学生' 23064, 永里' 3023, 周り' 338, 小分け' 10052, プログラミング' 3193, 獲物' 14025, グルノーブル' 21227, スナッチ' 20776, 1610' 11488, アルジェリア' 12125, パートナー' 1081, ディ' 10965, ニュー' 2717, 流し' 10492, 法律' 2952, 政' 14793, 港' 14788, やすこ' 14228, 川崎' 6868, 一條' 16456, 一連' 11605, 匹敵' 10166, 代替' 19543, 欠員' 9536, マニキュア' 10523, 球場' 4176, true' 16941, ボジティブ' 18479, 渋谷' 10775, 彩花' 12609, ステッカー' 22327, レギンス' 12804, 厚生' 3339, 海' 963, 下部' 17638, 血豆' 14614, リベラル' 12223, 清美' 14441, 天下一品' 9287, 乗換' 22834, 上乗せ' 20281, 金利' 4998, 破壊' 12465, 南仏' 20414, テイシェイラ' 10536, 封筒' 17443, 757' 11645, 真ん丸' 9130, 氷上' 12764, クロアチア' 12464, せんべい' 22554, 均等' 17627, レイ・セフォー' 20448, 根本' 7698, 目' 6, 花園' 10605, はしか' 15713, シリアル' 17136, マカオ' 23081, 裕美子' 19945, ポジティブスパイラル' 23199, グレッグ・ベーレント' 12380, 絶' 13516, 一変' 6922, 早起き' 7494, 硬派' 2528, 草津' 3717, 寧々' 22023, 時計' 13612, ロンダート' 22757, 三平' 17784, 遠心' 16632, 知恵袋' 12827, メジャーマンセー' 23474, ｃｍ' 11785, 冷え込み' 20886, パイ' 9074, ビッグイシュー' 6246, タイトスカート' 13887, 北風' 19687, 模範' 19252, ダンサー' 4614, 投与' 12953, mvp' 8690, 535' 22889, aga' 19043, 乱' 2624, ファーザーズ・デイ' 22710, 朝練' 15016, ゴーマン' 10805, 王様' 16946, 優美' 21453, 即効' 4533, 一朝一夕' 1886, 段' 7245, オリックス・バファローズ' 14543, ケビン' 19582, ワーキング' 11191, ノウハウ' 13969, 横行' 8575, ウォシュレット' 6084, 外科' 14942, 特等' 9924, 後頭部' 17703, 強力' 16228, ハーフ' 8343, 十人十色' 21369, 知り合い' 4153, ょわい' 5818, 優輝' 9192, 分解' 8284, あて' 1782, モテファッション' 17939, 本編' 11207, 才女' 16755, 品川' 15389, brad' 22048, 耳打ち' 22377, 一苦労' 15879, チョンマゲ' 9215, 調理' 8942, ウォーリア' 12280, 羽根井' 11247, 律子' 14023, 従姉' 18566, 貴史' 7658, composer' 15429, 仮屋' 17372, 菜食' 12574, 本件' 8828, 授乳' 14626, ハウス' 18553, にし' 9930, 立派' 4800, 春雨' 11706, シットリ' 8541, 連中' 11714, 1973' 14498. 12541, ドミニック・ローホー' 17299, つる' 2900, souhan' 16814, ゆるやか' 3514, 主戦' 8365, 交じり' 6278, 負い目' 23503, ozmall' 18515, 色気' 3629, ローカル' 14743, 日本体育大学' 21151, 乾燥' 5747, 水筒' 19369, 無二' 4296, 生き物' 734, スポーツバラエティ' 15094, どろん' 9664, 身勝手' 1268, 祈祷' 6513, 不可解' 6566, ローン' 6424, 書記' 11457, ドラキュラ' 23279, ピシッ' 21468, 滑' 5166, 優' 3015, 11' 1223, アロマポット' 18570, 850' 8167, ギャラリー' 1615, イ' 7003, 左肩' 14303, ノルウェー' 13380, お客' 1641, 格' 9701, 嘔吐' 20516, 手放し' 20912, 浮腫' 16793, 向き' 3186, 方今' 19657, ロエベ' 20585, 現れ' 21801, 歯科' 9900, ジュンコ' 8230, ブラッシュ' 12123, 隠し事' 18666, 静恵' 16447, ストッパー' 19536, 土下座' 14292, 曙' 18340, リオン' 13567, 異変' 4307, 悲壮' 16777, 直樹' 11069, 俊之' 7316, 厳正' 10527, コン' 926, 目頭' 12378, 暴食' 16311, スカスカ' 22295, 王座統' 17088, 引き下げ' 21779, 183' 7458, シロップ' 1982, アポイント' 16540, ホテルステイ' 9346, ゴニョゴニョ' 15690, ベッド・イズ・バッド' 18799, エンターテインメント' 5155, 」. 14108, 着色' 5760, 美少女' 8383, 奈也' 17545, 熱血' 14173, 晒し' 22866, 後ろ向き' 23366, 老朽' 17847, 方々' 1390, 48' 2537, 無能' 14822, 変革' 22714, 直し' 13222, 動物' 736, 120' 8808, 手玉' 23519, マイホーム' 8091, プレート' 21070, クリスマスイブ' 13857, 失速' 2739, ピアジェ' 22395, 夏バテ' 2057, チェゼーナ' 19333, 音信' 10118, 正和' 16327, ベジタリアンレシピ' 12543, ゲーリー・リネカー' 12875, ホンネ' 3297, 上層' 6288, 見切り' 3144, 哲雄' 21552, 官邸' 20454, 臀部' 13040, 辞任' 11351, 店主' 23218, 辺境' 19682, 給仕' 12692, 飲食' 13841, マリーンスタジアム' 15329, 主語' 16052, クライマックス' 5126, オラオラオラ' 15533, 染色' 13291, 皮' 10454, 親近' 15323, 痔核' 17760, メモリー' 19672, 輸出' 19575, 來未' 9734, ロッテリア' 20827, 当たりさわり' 22182, 犠打' 16961, 垢' 12344, クシ' 22569, 報' 4209, エナジー' 12244, 125' 15278, 清掃' 6232, 学級' 2949, 月額' 8964, おでん' 7282, エンジョイ' 15681, 久我山' 15009, 絹ごし' 12560, 案' 10519, 目前' 11206, 遺影' 6540, 賠償' 12855, 最寄駅' 15057, 張り紙' 18262, 滝澤' 22100, め' 1316, はるみ' 9928, 阻害' 10388, 既成' 7255, 1984' 16932, 豆類' 20002, 大前提' 20054, 番人' 22423, 後悔' 8399, ヒーリング' 4512, グラム' 1048, 同性' 2147, 酌' 11773, ？. 23374, 引き算' 15981, アプローチ' 4284, ウザ' 2311, 危害' 23317, クラクション' 21506, 景品' 16395, セレモニー' 6517, 損失' 17878, ボコボコ' 13334, 画素' 11472, 指針' 10717, サントス' 13588, すれ違い' 7303, 効き目' 9041, ヨソ' 17004, romantic' 16079, ビッグバン・ベイダー' 23131, アウェーチケット' 6707, 岩隈' 107, 境遇' 5805, 放題' 1605, 文京' 18378, 棄権' 12286, シェード' 831, 金色' 5874, 丼' 12677, モテキ' 13420, ズレ' 8428, 一枚岩' 17432, つ折' 18794, 仕合' 22374, 客室' 6480, 昨夏' 16945, 命がけ' 10303, 冷凍' 8656, セルフサービス' 18551, 甲府' 6821, ジョンイル' 11444, 気がね' 11015, ガラス' 864, マガト' 23026, だて' 12032, 友和' 18905, 秘密' 4922, 念珠' 11600, かめよ' 296, 作用' 2044, ムレ' 12807, コンビニエンスストア' 19609, 愛車' 16114, 連夜' 13133, こんち' 17282, 検定' 22947, 美希' 21833, 恒例' 2686, 刷新' 16939, みよし' 10462, ぐらし' 22770, クリーミーチョコレート' 18405, イジメ' 9279, 洗顔' 11411, アリーナ' 6884, 水川' 22241, 安田' 15366, 防寒' 10460, 御殿場' 5925, 真意' 9967, アップ' 670, kirei' 12461, 三日月' 18056, lawson' 7263, 電球' 9126, 旋風' 9490, 積み' 9962, 美枝子' 6483, 豪' 5195, テカテカ' 13817, モロゾフコーチ' 17616, 手続き' 13611, 優雅' 6345, イケイケ' 7690, 長友' 8678, スタイリッシュ' 16378, 仏事' 11588, 聖美' 18194, 背伸び' 11329, th' 15973, 成子' 21688, 水平' 7646, 安彦' 11921, 放水' 23516, パンサー' 20816, 雅彦' 21702, リヴァプール' 14811, 把握' 7534, ディラン' 15398, 大台' 11154, ぎりぎり' 578, 1170' 17444, 小宮' 14796, ろ' 356, 題材' 13201, ガッツポーーーーーーズ' 22716, atm' 14188, 設計' 4130, オーストラリア' 4969, スポット' 2849, 師匠' 14179, 呼出' 10894, スッ' 12789, 内紛' 6265, 症状' 8286, 兵庫' 19947, クラフト' 20103, 厚子' 6463, ナルシズム' 11509, 北京' 34, めんどう' 22216, 新鮮味' 17235, 住民' 4240, 敏行' 16368, ウェルター' 23323, 便乗' 7166, 深み' 4933, 矛盾' 11966, 言い訳' 1342, 口紅' 16772, 下旬' 11705, 寝坊' 18099, 以下' 3223, 師事' 5840, 1932' 23168, 国土' 20309, リナコ' 15772, 細身' 19122, マチコ' 18122, 提供' 6248, キーッ' 12007, フォア' 3741, 僕' 1000, 下町' 13397, 140' 10247, プチトマト' 17683, 250' 5978, 小袋' 10478, 菅' 20453, 商戦' 19237, ファイト' 4837, 高島' 18346, グリーソン' 18815, トゥクタミシェワ' 12903, 読み' 15023, 取材' 2214, いきさつ' 10438, 岡' 8485, 道のり' 3683, 旧知' 8498, 講義' 15828, ティアラ' 22117, カウンセラー' 8528, 効率' 4393, メアリー' 10234, 持ち前' 12499, 帯' 5207, セクシャル・ハラスメント' 15821, 予断' 10750, 出社' 8057, クリスティン' 21397, 宏之' 23269, 季節' 1866, アニー' 18521, 語り' 21014, 青年' 5330, 外子' 19809, 脛' 12479, 眉' 3531, 無理やり' 17531, 振り付け' 6374, ピッコロ' 4669, 胴' 15938, 乗車' 13763, ℃. 19058, 味つけ' 16826, サマンサタバサ' 23432, 税金' 3365, リフティング' 10822, 古木' 16219, 洋書' 18046, テキサス' 3744, リターン' 13275, 苔桃' 22538, 乗' 22658, コリン' 11330, 隊' 7545, 農作業' 21955, 逆光' 17634, ごみ' 6239, アレルギー性' 15082, 弥' 8595, 輪郭' 12171, 圧力' 3490, 生け花' 16841, 利代子' 19951, 無関係' 11889, 罫線' 16546, 画数' 17523, ソコソコ' 16581, shapex' 23350, 瞬時' 3614, 超過' 4324, 岐阜' 6205, 宴席' 21518, 肛門' 9037, ボケ' 7661, 51666270' 6924, 2016' 14725, 真梨子' 17573, 余韻' 3951, ペンキ' 10446, 中途半端' 2534, ステージ' 79, 減給' 16109, スリランカ' 20744, 書棚' 18058, 長屋' 7110, メタボ' 7954, 煙突' 16707, 祝杯' 21703, 逝' 10934, 真髄' 21252, 成り行き' 11954, ゼタ・ジョーンズ' 7733, 想い' 4198, ナーバス' 19773, 助手' 16341, 慎ましやか' 11245, さら' 7740, イミダペプチド' 23360, ９月' 16348, ケガ' 39, 格段' 881, 欲張り' 17135, 琴線' 17625, 邦明' 18428, 立腹' 11971, どん欲' 15151, ミヨコ' 18174, フモフモコラム・' 18907, ポルシェ' 9913, 批難' 12043, スタンプ' 18146, 設問' 11553, 会員' 11145, 兄ちゃん' 16737, セクシー' 7851, 副賞' 14988, 当たり前' 329, 79' 6951, 成田空港' 7314, young' 12130, wat' 17176, 介在' 3235. 7799, 多村' 5125, 謙遜' 15231, スタンス' 4869, 考察' 3879, ナルバンディアン' 12473, タタラ' 4654, 朗読' 8536, マル' 20269, ひとり' 1921, ペナルティ・ワッキー' 13442, つかの間' 17511, 理事' 10796, 部内' 9861, 具体' 2519, 丈志' 5101, 美鈴' 2573, ガン' 4445, 戦犯' 5694, 至高' 6030, ゴラミート' 19038, グレート' 15362, 静' 14970, サンチャゴ' 16713, さと美' 8924, 虹' 12911, カリフォルニア' 17836, 薬味' 3101, 奈々' 14041, 上記' 4875, ㎝. 18123, 菜々子' 5172, 自分勝手' 6669, ぎごち' 15197, 美化' 18128, 襟' 7056, 静香' 6057, 真千子' 23557, ）♀」「' 17529, スワロフスキー' 5666, ハザウェイ' 14135, ゼップ・ブラッター' 13828, タガキ' 14638, 秒' 2285, 錯誤' 17218, uwf' 18329, 料' 2105, 海原' 21637, rko' 17494, あら' 14030, マレー' 18161, 紗英' 19469, 移入' 8028, 俊英' 4424, おかげ' 854, 目的' 953, 同棲' 2854, 姑息' 19219, 打数' 21838, 数珠繋ぎ' 19712, daughter' 10362, 他者' 5152, ファンクラブ' 12825, 具' 5489, 村上' 4027, スースー' 598, 小倉' 6807, 印刷' 18664, ファンケル' 16936, 施錠' 7508, 萩野' 14424, 古巣' 6810, 違' 12069, フェンス' 20393, 簡易' 4971, 他人' 661, インナー' 4523, アルビレックス' 23509, 大河ドラマ' 12453, 敦子' 16746, 土壇場' 1360, 配達' 4607, fightislands' 7681, 同名' 4477, 記帳' 17794, ノロ' 19244, 隠し' 15962, 隆一' 16362, アメブロ' 4133, 田舎町' 503, 実写' 4561, 超越' 10832, 水風呂' 16569, ミラマックス' 20543, 鉢合わせ' 6461, 露' 2383, 正朗' 10259, 特効薬' 18314, 関門' 22558, 迫田' 9742, エピドード' 3854, 初老' 6173, 病家' 20418, うんこ' 1506, バザール' 9339, ミニブログ' 16048, ロッキーズ' 5522, サポーターフォトギャラリー' 13147, hisoca' 22526, シカト' 13505, ピエール・マルタンス' 19149, タカシ' 21698, クチコミサイト' 8933, 転身' 13572, ご無沙汰' 10738, 予算' 2928. 〜' 14920, 岩崎' 15497, α' 23568, 誰か' 5606, セレッソ大阪' 20866, グータラ' 12561, 宏明' 8300, 荒武者' 2110, ローカルニュース' 6693, fax' 8738, ダサイ' 6325, パンパン' 14218, 放火' 16264, コト' 261, 東方' 22242, オリジナルポストカード' 18656, チャラチャラ' 20019, 酵母' 8562, 金持ち' 1186, 東原' 11903, 破格' 20236, 一戸建て' 16684, 朝刊' 4345, プレー' 2364, ルーム' 4624, 重大' 8832, 272' 23336, 連動' 4935, 準決勝' 7413, 看板' 10490, 食あたり' 5451, いじり' 9068, つぶ' 20627, セーブ' 12775, イラスト' 1320, kei' 16491, タグ' 5394, グレイソン・チバウ' 6905, ビックリ' 1208, 取り沙汰' 14722, フィンケ' 14829, 中学' 1212, 活性' 1472, オーディオテクニカ' 20178, いざこざ' 17787, ぎつね' 10147, 不祥事' 16256, 心当たり' 5900, 亮平' 14000, メイビス' 23018, うかうか' 12118, 186' 23088, 試着' 11724, バブリー' 14644, 運賃' 20314, 脇谷' 21379, メグ' 8606, テクニカルエレメント' 18015, 頃' 310, 次女' 11932, オシャレ' 2875, 恩師' 3401, 雲泥の差' 8332, コロラド' 5832, 泥棒' 10225, 指圧' 20611, 238' 21832, 全身全霊' 18097, ポーラ' 20818, 被弾' 4114, むっ' 22655, 小熊' 20277, 水菜' 21072, 吾' 16676, 電力' 908, 分娩' 15424, 色々' 2497, 代理人' 10266, 注射' 5732, 番組' 164, ファストファッション' 17840, 主食' 15040, きょう' 9566, ガクッ' 20811, ファイヤー' 15317, ブランカ・ブラシッチ' 22083, ゆり' 8658, ディスカヴァー' 17341, ヒスタミン' 20883, 税制' 21770, 投てき' 11226, 樹里' 4433, づくし' 19175, ポスター' 11699, 樹齢' 22079, 節気' 21082, きのこ' 5429, マクロ' 8518, 結婚' 422. ；' 8312, 麻痺' 20955, 感受性' 14538, ジュン' 2899, プレーン・' 2772, 六つ' 12665, 好成績' 17929, 愛憎' 22404, フジ' 6085, どっか' 5229, 接触' 8438, チャコ' 11311, 伝承' 15654, 誘因' 6958, 悲嘆' 6443, 感覚' 706, 猛烈' 10998, 竹田' 12988, とんでも' 6859, 非難' 9318, カメルーン' 13487, 控除' 19811, gow' 4172, cut' 22376, 古着' 5368, 日本経済新聞' 12837, ネオン' 1435, 支店' 11217, 中規模' 15060, エリ' 2903, せん方' 23507, 集団' 723, ループ' 4358, 魚' 9241, 納得' 859, たまこ' 18144, peachy' 11756, 新妻' 13894, 現代病' 12744, 閑' 8702, ケッペル' 14985, 生乳' 15038, 吉本' 18992, 傍若無人' 1717, 引き分け' 6700, 日光' 3110, 豚肉' 15964, 無遠慮' 18814, 鶴見' 16010, 嫁入り' 11596, エン' 5507, 花嫁' 7549, 桂' 2992, 大学院' 2776, ℃〜' 23215, ちひろ' 14964, 歩き' 15344, 鳥栖' 14296, イメトレ' 22573, 王手' 13648, バースデー' 17844, スマホアプリ' 22438, セリウム' 19568, 戯画' 5355, 守備' 3436, シゲルフセルト' 14877, 要請' 1466, 推移' 9838, モスキート' 23618, 略奪' 6063, 敦' 15607, 8589' 23245, 別れ道' 17055, カリカリッチ' 15052, リッチ' 16108, オオノマキ' 912, 奥さん' 2896, みんな' 920, 華' 8051, 困惑' 6287, ダイハツ' 16396, 文面' 8429, 草丈' 10649, 無知' 3517, 道具' 7220, 岡見' 6903, 粗食' 20531, ボールペン' 13459, 三浦' 6836, ビニール' 15874, ハメ' 7217, 未定' 18400, 日活' 20467, 浄化' 8527, メチャメチャ' 14313, おうか' 18366, ラディカル' 20995, とうきゅう' 18155, ナオミ' 10143, 郷里' 18468, スベトラーナ・シェコリナ・' 22085, おもらし' 22152, 騒ぎ' 3891, アン' 15132, インフラ' 20310, リハーサル' 22034, フラメンコ' 6354, スキンケア・ヘアケアメーカー' 22126, 上原' 3745, デカ' 1172, ━━━（' 20138, 河野' 20718, 哲' 18501, 萩本' 18284, 注意' 351, 策士' 14128, 配' 7212, 当せん' 8090, 世' 2274, 3411098' 23379, 果汁' 19167, 受' 445, 定番' 970, かつ' 23143, イノセント' 16787, 万博' 23116, 基' 12412, 落選' 10396, シリウス' 15944, ウィーン' 14530, ナンセンス' 17391, 中盤' 7767, 1861' 22673, 性器' 4310, インタビュー・ウィズ・ヴァンパイア' 19724, 櫂' 16077, 胴上げ' 5135, 前のめり' 21509, キャンディーズ' 8077, 発動' 10955, as' 20630, お悔やみ' 16833, 智和' 21027, 気負い' 15, 駅前' 6217, 芳香' 21140, 内陸' 14069, 場面' 117, メレンゲ' 1602, 瀬戸際' 20273, 投合' 23120, キャスト' 8232, 武道' 21463, アドレス' 9890, 世辞' 6426, カンバセーションズ' 23330, ボルドー' 11477, 寺原' 23343, フューチャー' 13058, 170' 14754, 膨張' 14834, 濡れ場' 14936, ザツ' 22298, 名水' 23207, 立て続け' 17477, サラリーマン' 11946, 背中' 6115, 感謝' 1487, お話し' 8204, ラベル' 1116, 半蔵門' 18045, 観月' 16316, 星' 2488, シャネル' 15730, 指図' 12049, 実業之日本社' 11237, ビーチ' 6247, 証左' 15659, 小中学校' 22463, 検挙' 13924, ビーチバレー' 6778, 4289' 18752, 大師' 21543, クモ' 22267, キャピッ' 3853, 糖尿' 14757, 手腕' 14064, 東京' 1412, バニスター' 19247, 闊歩' 15524, やる気' 6176, フローラル' 5586, anecan' 10005, 土日' 4389, 信条' 7106, 2310' 21310, アツコ' 5808, 萬田' 22017, イオリ' 5579, 生涯' 8393, 落胆' 13311, 云々' 8403, オセロゲーム' 21753, 洗濯' 3384, 繁栄' 8857, ほっぺた' 14906, 背後' 14309, 細部' 11813, オフォスエムツー' 19472, 家庭的' 8052, ニューイヤーズ・イブ' 17460, 茗荷' 19183, 明晰' 11679, サプライズスピーチ' 22032, spectrum' 12704, 物語' 1675, 専務' 14878, マウンド' 4190, ０' 421, ゲストハウス' 11595, 分化' 12952, ヤワラ' 13511, すもも' 22530, ヤング' 1683, 値上げ' 775, 本題' 7163, みつる' 13869, 解雇' 2467, 映像' 1430. 10160, 116' 14499, 塩' 17666, 遥' 13975, まみれ' 9066, さらい' 12185, 行使' 23368, 鹿児島' 2594, 愛称' 1950, 大嶋' 17899, スライド' 12189, 渇望' 10361, 曇天' 18701, フィジカル' 7421, 陰り' 13180, 轍' 23275, ｔａｔｔｏｏ' 23582, 大社' 13190, by' 472, 岩井' 18137, aska' 14362, 大宮' 9321, 難所' 11519, 王妃' 21304, ギャップ' 2892, 牧野' 23062, paramount' 8806, 体外' 19700, カパ' 16040, レスポンス' 14773, 変' 1017, 大石' 9912, 博識' 21943, 今時' 8880, 居候' 13160, とうや' 16411, 熊野' 19942, またたく間' 17957, くるぶし' 15500, 形' 2486, 浜田' 7648, ごろごろ' 12798, ペナルティ' 8454, 勝' 3421, 寝不足' 16009, ´▽｀)」' 17562, 年長' 2629, タカトシ' 19125, 素材' 3125, 女房' 12065. 」' 20807, しら' 7351, 湯河原' 16050, コオリナ・リゾート' 23562, 城' 4645, 蝶' 19315, 田村' 5253, サンクチュアリ' 11189, 抗議' 2506, 代々木' 13189, 俊' 10868, 強烈' 2144, ヂカラ' 13092, 初心' 19279, お正月' 2574, 蘭' 7643, シュミレーション' 18102, ♪' 418, 総合テレビ' 22412, 不能' 1499, レアアース' 19563, 初陣' 13534, スピリチュアリティ' 8605, 大会' 943, 浅野' 1990, 申し立て' 20241, 多分' 14839, マッチ' 7013, 良子' 11010, 習得' 15161, 硬化' 7969, 采配' 4090, ヒアルロン' 5762, ヨンギョン' 17925, 仁義' 6773, 手術' 4630, 回' 336, 大はしゃぎ' 17927, 称号' 11915, 繋ぎ' 13041, エリア' 1460, 北' 2476, ファンシー' 7001, 臨床' 23347, パクリ' 6440, お鍋' 17395, 西原' 2736, 方向' 2962, 借家' 17851, 報い' 19764, portal' 5458, ブチキ' 5696, 表沙汰' 13915, 劣化' 5698. 12092, 揚げたて' 15948, 万札' 14193, 面積' 13792, スラム' 14181, 怒り' 1528, パー' 5600, ロザン' 19925, 持ち帰り' 16974, 由梨' 19108. 9263, 帰り際' 20436, fgm' 18768, 熱狂' 10979, フロック' 23371, 御徒' 20552, ワリス' 18774, 数珠' 6514, エスプレッソ' 14929, 土田' 13437, 述語' 16057, サイード' 21246, すね' 10812, 共感' 300, 嫌い' 1068, ザ・ムービー' 21390, ガラクタ' 21720, ツル' 13223, 英里子' 9431, 満' 6660, 先負' 12646, 要望' 14506, 第一生命' 2723, 啓二' 6147, free' 20419, 槻' 21708, よっぽど' 23186, クルーニー' 17208, 静脈' 17767, 小畑' 4573, アポ' 3562, 豹変' 9232, 精密' 20189, 精' 12365, 用水' 17865, ウォーク' 10241, マリー・ローランサン' 15150, 感じ' 349, 派閥' 13498, 熱量' 16686, くら' 12131, 一晩' 18339, 野波' 21705, 新郎' 5633, 読経' 6505, 板挟み' 9859, フォールディングタイプ' 22778, カガワ・フェスティバル' 23482, 知' 2808, 国内' 1923, 思いのほか' 21399, or' 328, かっこ' 7723, ペボニアカップ' 20432, 部屋' 350, 照明' 799, オウンゴール' 20034, ソリッド' 13808, 機微' 4003, 訂正' 12124, 罰' 2601, 葛城' 13525, 一括払い' 15194, 東宝' 4466, まゆみ' 8535, のりこ' 17624, 紀香' 17358, トップアスリート' 14840, 実例' 6606, 自律' 4070, スターシステム' 16229, 同点' 5685, 底抜け' 19802, 簡素' 6532, 熟' 12256, コンプライアンス' 21747, アメイジング・スパイダーマン' 11436, 来場' 6282, 要注意' 6961, 肖像' 14675, 飯' 11308, バットマン' 14284, 呪い' 18116, タレント' 2177, 貫禄' 13069, 球審' 18208, 安上がり' 18473. 3845, エイトレンジャー' 14263, 招待' 852, ラフプレー' 6002, 分裂' 22187, シゲルアサマヤマ' 14881, オジさん' 21765, シンボル' 7700, レヴィット' 10776, 議院' 18038, 浮気' 728, なめらか' 9055, 鉄分' 10471, 奈保子' 18475, ヨウコ' 15813, 響子' 16659, 長寿' 8854, 禁酒' 11120, スキニーパンツ' 12800, キレ' 4197, 水戸黄門' 17788, 茶々' 14664, 悪化' 4929, のけもの' 16991. 20495, 五月' 22012, 行為' 3236, 光栄' 15620, 界' 165, ハーバー' 4381, 420' 14388, 光代' 19027, フォークボール' 7156, 侘び' 20980, 棟' 17155, 当局' 18803, pc' 7771, 箇条' 17040, ふろ' 18270, 軽蔑' 12221, 柏レイソル' 6545, タンス' 9956, 粒' 12572, 谷口' 21012, 分野' 3287, 夜泣き' 17417, グルーブワークスライフワーク' 22685, シタン' 20408, 明文化' 12051, フニャフニャ' 4534, 意図' 7415, 身持ち' 1247, パサ' 18840, 猿' 9204, 義実' 15604, 斡旋' 3139, 黒田' 4708, 砂糖' 2754, 不当' 20149, スタジオ' 5281, 俺' 1501, ぷかりと' 21127, 新潟' 11896, すてき' 7555, イラ' 1404, 貴金属' 13631, ヘコ' 21192, ゲート' 7556, 混雑' 5383, 新鋭' 20638, 山路' 5167, 肥料' 17036, 189' 545, キーホルダー' 12093, グリーン' 4499, 大人気' 4558, ダイナミック' 12726, のど' 11395, ゴーグル・キャップ' 22629, 恵理子' 20767, データベース' 17230, 老若男女' 12351, 威力' 12878. 20692, 正気' 16511, 小西' 16867, 暗号' 22458, 気持' 11417, 陽射し' 18702, 白取' 22793, 間口' 11797, 長女' 3255, 工夫' 3114. 』' 18158, 侮辱' 6083, 親切' 13740, 一念' 10036, ざい' 8210, 土地' 2560, 中断' 17655, 粘り' 9800, ヘーキ' 22265, 産毛' 16454, 副審' 14009, グッドルーザー' 19830, 一生' 1071, グッド・ウィル・ハンティング' 18239, 物言い' 9653, 独りぼっち' 14978, ベレーザ' 7611, 利休' 20978, オセロ' 14774, 待遇' 8631, 羽' 15276, 増加' 3793, 美穂子' 21314, 機種' 11501, 山梨学院大学' 11451, 鎮痛' 1818, ジャニーン' 12387, 画策' 15489, 行く末' 11186, 一軍' 7785, えさやり' 3291, 鬼太郎' 22215, 団' 536, マッシブ' 19397, 勝因' 7625, キティちゃん' 16594, 語' 7465, グチャグチャ' 12569, アルミ' 19433, クローゼット' 8674, 十字' 21153, マサエ' 10146, 同志社大' 14427, ユウ' 5528, 南米' 11447, ポータルサイト' 19292, 公益社' 3285, 三味線' 13876, 個性' 6538, 184' 10923, 成否' 7794, 1995' 3563, デリー' 19721, コカ' 16687, 市立' 20370, ターン' 5738, 捜索' 11988, 04' 13398, コーヘー' 17010, 気丈' 9308, 素行' 17228, センター' 1757, 招待客' 20943, 死刑' 19578, 商法' 20565, ホルヘ' 17203, ミランダ・カー' 11437, オリオン' 15919, bot' 15972, skype' 19718, 毒素' 10648, ダメ' 1515, 恐怖' 2166, 校了' 16097, ゴンドラ' 22107, 麻衣' 16957, デー' 11252, アウトロー' 23491, 悪天候' 6626, 隊長' 23126, mr' 1194, 主旨' 13280, tetsuo' 9793, ゆえん' 16898, デュアルセントテクノロジー' 14246, fnn' 16000, ラブソング' 14904, 困窮' 20056, 荘' 4449, mail' 17804, 物理' 10033, 継続' 4304, かく' 14243, 内川' 5124, ポッコリ' 11648, 鬼才' 16296, d' 7510, 一環' 15621, カフェ' 844, bbmf' 21588, エレベーター' 9433, ラボ' 8150, 似顔絵' 15218, 銀盤' 15403, 来春' 4618, v' 1490, fb' 4885, anan' 10734, ヒジ' 14777, 美女' 1614, 本当' 1376, エメリヤーエンコ・ヒョードル' 23140, 端的' 18749, ヴォルフスブルク' 10835, 佐々木' 3033, 抜き打ち' 16007, 都合' 1102, 価格' 794, ３' 473, リハビリ' 3007, ニク' 23092, ビッチサイド' 17059, 下心' 6947, 9' 1497, 情勢' 14588, 生態' 3894, 重機' 11985, リスク' 1010, 裏地' 19265, 体内' 535, 羽目' 21167, なあに' 22934, 身なり' 21815, 休止' 10537, 逆上' 23318, 満席' 8176, 釣り合い' 7817, 発作' 21073, f' 3034, アーチ' 21115, 味方' 6728, 地球' 2417, コンテナ' 12945, 装丁' 18054, 頻度' 2221, クリスチャン・ラクロワデザイン' 21394, 必要' 1309, 勝則' 14043, 若槻' 9741, 4422369' 18653, 入社' 2667, ミシュラン' 8198, 三角' 8601, 並み' 9333, カズミ' 19693, 初場所' 21187, 新人' 3359, 母乳' 8275, 冬場' 5786, ダイナマイト' 16220, うさぎ' 3239, マジカルツリー' 20412, ｀)」「' 19783, vol' 1114, 造作' 19119, 真紀' 19694, 一個人' 21438, 本国' 6554, 成年' 19908. 15537, 拍子抜け' 20337, 長文' 11481, 特' 5047, カス' 256, 心理' 5990, 消費' 826, 富士' 21416, 重視' 4150, 工学' 19559, 摂取' 3109, ダジャレ' 15201, 津田' 14707, 角形' 15945, 足首' 12974, イット' 9172, life' 18009, 寄り' 11976, 如く' 17824, ac' 7535, 輪' 9699, あおい' 12439, 白石' 23456, スライダー' 12301, 45' 984, 通行' 13119, アリス' 10364, フレンドリー' 23296, 終日' 12662, ク・ヘソン' 23071, 熱愛' 12515, 惑星' 16299, next' 19639, きゅうり' 19372, 俳優' 2924, 伝' 1305, 断' 7233, うずら' 5488, ビフォア・サンライズ' 14531, 仲田' 8380, ゾロ' 12338, オラオラ' 3885, 縮小' 15923, 実業' 2731, 愛妻' 4458, セシール' 9145, ディベート' 1100, 乱用' 22913, 364' 12296, びかけてもどうにもならへんやろ' 2822, 払い' 17234. ”' 20170, ライフスタイル' 5399, ７' 8664, ゅ' 5236, パウダー' 12755, キーラ' 4844, スーパーボウル' 20702, 立地' 15370, モラル' 5388, 由香子' 17916, 田' 13060, 完勝' 6717, 影' 5248, オトコ' 3987, ストレス' 1843, うめ' 22203, 奥歯' 19677, 爆誕' 18615, 振り分け' 4141, ウォーミングアップ' 11722, さい' 20015, つきあい' 5812, 真冬' 12964, アゲアゲ' 11731, ミノワマン' 23053, 同等' 12341, 系譜' 15638, ボックス' 10415, ダート' 13349, 固形' 11415, 察知' 7072, リアリティ' 2184, 太陽光' 13469, 佳代子' 6383, 腹切り' 20781, 徹夜' 10849, キヨミ' 14019, fbi' 23460, ' 8299, 悲報' 20445, suumo' 15378, 堤' 14272, 中止' 4254, 頭髪' 19053, スピリチュアル' 4520, 駐車' 1807, 成就' 12361, 朱' 20021, 伝達' 17816, ミラン' 7536, 大柄' 5668, ボヤキ' 2714, クリエイティビティ' 21669, バット' 2802, バイバイ' 21117, マン' 3919, チェンジアップ' 11619, 大塚' 13570, 真骨頂' 14122, 盗' 6754, 結' 6583, トレーナー' 4212, サインペン' 23384, ポテト' 21788, 常' 16413, デビット' 13834, カリスマヘアメイク' 19621, マイケル' 6662, ベテルギウス' 15912, 屋根' 12553, 弓道' 12330, 帰り' 1451, 千里' 18011, 応酬' 17484, ボット' 15968, シナモン' 15034, 博' 5040, ヒキ' 12795, モバゲー' 10749, 多用' 8297, 当直' 7312, 名立' 14310, フリーランスライター' 12779, 誤り' 10555, 小田原' 15667, 直感' 16084, チューブ' 18848, やり方' 6328, サクラ' 13506, キン肉マン' 22612, 麻糸' 8904, deep' 13571, 枝豆' 19196, 五目' 5513, 録音' 5147, 多恵子' 13759, トラウマ' 227, 野人' 6744, 聴覚' 22420, mtb' 13353, 参考' 1910, メンタル' 3935, ウマイ' 18065, 博満' 4128, 局' 4752, ミュール' 9997, 千鶴' 4426, イタリアン' 8004, ウザイ' 12781, ゴーグル' 15079, 仮眠' 21502, 今頃' 8012, ハンドバッグ' 21564, 抜粋' 14312, 好機' 13558, ドロンジョーヌ' 9661, そうこう' 11183, 採取' 13925, 金星' 14109, ライオン' 17087, 相思相愛' 14789, アベンジャーズ' 14285, オグシオブーム' 16733, 犯罪' 1510, 無気力' 6647, action' 8802, ビタミンｅ' 10664, 自発' 6314, 浦' 20568, 所有' 9584, みさき' 4972, ボディタッチ' 8747, 核心' 12883, コーチング' 21960, 見直し' 18721, 東亜日報' 16855, 有名人' 5341, 支社' 8131, オール・オア・ナッシング' 18129, カメラ' 114, ミッチェル' 16011, 片瀬' 14810, ブラック' 2888, 下記' 6153, エアゾール' 21139, 彼氏' 769, なおのこと' 21974, 主成分' 17741, ヤクルト' 4126, 舫参' 18037, 常駐' 22891, オーガニック' 18349, 周' 9197, スプリンター' 12787, 吸収' 540, クラーク' 16775, 買取' 13626, 大敗' 12599, 独立' 7846, 青豆' 13810, 床や' 16845, ビジネスマン' 1106, 行き違い' 18914, ヘンケルジャパン' 13175, スペア' 21710, ダメー' 21334, 育毛' 6427, コネ' 19782, 組合せ' 9094, 給' 11093, ギャオス' 23127, ズル' 21709, アンガールズ' 8266, セリーグ' 20834, 友の会' 19356, しめ飾り' 15836, ぐち' 12670, ボーナス' 4986, 終結' 161, 山神' 21538, オタ' 6620, メイサ' 9730, 新婚' 5670, 脳みそ' 10072, 水洗' 11387, 謝意' 15702, ツイッター' 1462, 356' 11567, 親達' 23258, ゲレンデ' 11162, 機内' 18335, 718' 20275, 工' 16338, 黄色' 9106, クロスカントリー' 2280, 防衛' 12037, 大吉' 16587, イレギュラー' 14203, スリリング' 10794, 政党' 17163, 全貌' 13849, report' 11860, 因縁' 10204, 文学' 5897, アソコ' 12355, 有料' 19865, 後回し' 21716, 謙虚' 25, 等身' 14480, 出汁' 16847, お祖母さん' 20946, 雅実' 12808, 絹代' 10485, 己' 3453, 謎とき' 14383, 分譲' 15069, 趣旨' 14157, 木曜日' 14433, 中日' 186, 体得' 11621, 異端' 5704, 寛文' 17285, オシ' 5955, 尻拭い' 4908, 生まれつき' 5183, ちょん' 10585, 辞書' 4794, 確率' 6277, 宵越し' 21923, 感情' 1535, ニックネーム' 9558, 氾濫' 7576, 厚底' 7715, 社' 2134, 自問自答' 6987, 聡美' 5112, レスナー' 14137, 楕' 16452, 熊手' 23007, 滑り' 10508, デコメール' 17447, 暴挙' 10279, 肘' 10940, バトン' 10684, オムニバス' 3362, 自治体' 21356, ハンブルガー' 20727, 八幡宮' 22075, ダイヤ' 8367, ハルエ' 18786, tシャツ' 5373, イメケン' 16635, どの人' 18928, 洋介' 5329, 高垣' 20707, 旗' 8724, ビューティフルゴール' 13707, じん帯' 3024, making' 16091, 木下' 12080, ススッ' 11502, プレゼンテーター' 23488, 手塩' 11307, 違い' 1009, 孟紀' 205, 本決まり' 10759, 1030' 19238, 魔性' 15149, ラズナー' 13515, ジェネレーションギャップ' 6435, 智昭' 6794, ふたり' 6159, 景子' 1673, カチカチ' 13762, クルム' 23166, 駆け足' 22293, ハシゴ' 14826, ジャニ' 14274. （' 21511. ）『' 22755, ハク' 16127, パラダイス' 18460, 年中' 3127, クジ' 14782, 接点' 14962, 所要' 9009, ミレニアム' 21884, 気遣い' 1840, 応募' 9158, オーブン' 21091, カウンター' 7689, メルボルン' 16484, 信憑' 11019, kawamotomentalclinic' 21739, 際' 93, 犬丸' 18542, 正統' 15304, 青田' 22002, 失敗談' 1880, 精度' 7165, 制作' 3154, 買い' 8100, トレンド' 2770, 神楽坂' 15353, 奈央子' 16918, ちまた' 21004, 苗' 3093, イヤー' 21883, マイコン' 20783, 恵里子' 6398, 冥利' 9716, 辛口' 8506, ツノダ' 22407, ノイローゼ' 22605, トロピカルラッシー' 9880, ニッポン' 6795, 検証' 6608, マイレージ' 23329, クローサー' 10356, 超新星' 10887, 切実' 16801, tc' 20719, 帽子' 12318, 猛暑' 8895, ブレンド' 11513, 傷' 1792, 吐露' 9917, レオネッサ' 8645, チャーハン' 18068, リボン' 5628, や' 6989, 屋敷' 2561, 消し' 5565, ドキュメント' 17661, 大男' 14008, 環' 21160, 豆粒' 21087, パーオン' 17474, 敬意' 6604, 年忘れ' 8085, 宮市' 13315, ノイアー' 20693, あきらめ' 18462, 指示' 3526, 生還' 18210, 馴れ初め' 7307, 武田薬品' 23225, 納豆' 6614, 一両日' 23396, ホイッスル' 18008, 悪性' 22144, 塊' 9058, 憲' 198, 紫' 5869, ー' 2819, ｏｌ' 17369, 披露' 1284, 明日香' 17397, 洗礼' 16668, メニューラインアップ' 11703, 済' 11945, サワー' 18370, 適齢' 3984, 童顔' 7050, アクアプロテオ' 5774, レイズ' 13651, 014' 14507, ロボット' 7727, おり' 4309, ハイチ' 20870, 多芸' 9692, 裏目' 4119, 勉学' 15743, アヘ' 15975, 白星' 15511, 港町' 20477, 徳光' 20910, 捻出' 14330, 路線' 7016, マカロン' 2895, 均' 18281, ℃' 16803, 窮地' 10935, ロード' 10335, 塗り薬' 16691, マティ' 20661, 羞恥心' 1363, 合い言葉' 21370, 会場' 4246, 力こぶ' 17631, 中継ぎ' 175, 女好き' 7572, 見通し' 6698, シーバイクロエ' 20581, セツコ' 15064, 国母' 13656, ソフトバンク' 2096, マラソン' 8345, ファーガソン' 12882, 注文' 2864, ローライズ' 15784, 楽天' 190, タマネギ' 17893, 錬金術' 18377, マシェリ' 11772, 間中' 5651, 晴' 4557, 精神' 1940, ナルホド' 21120, 雄二' 19948, 秋口' 2055, 浩美' 17018, ハワイ' 2392, 手提げ袋' 17731, ヨハンソン' 12376, 大御所' 1551, 岡本' 19255, 折衝' 18720, ベルディ' 22104, 戒め' 21270, フルネーム' 17808, レイノルズ' 16559, 気兼ね' 10909, 頭皮' 6418, ディレクター' 5299, 仁王立ち' 20365, 今度' 2416, 建前' 8066, ユキコ' 17772, レモン' 2028, ストヤルナン' 13900, mg' 10643, 体操' 5555, 酔い' 5570, 作風' 1693, 評' 9464, ペニー' 15548, ハードディスク' 19564, 島袋' 16525, はちみつ' 2038, マナミ' 15714, ボランチ' 8376, ダサジャージ' 22868, 異性' 999, 後退' 9188, 相方' 13493, 操業' 10252, つきもの' 15024, 磨き' 6943, 厳重' 6751, 規模' 5945, 試乗' 21257, 能' 18526, ディージャ' 9296, ジー' 22987, ストロー' 23651, クタクタ' 23240, 成人病' 22528, オールマイティー' 13974, 亡者' 11028, 庄司' 15408, バルセロナ' 1225, 涌井' 14717, 性癖' 12218, 切望' 4934, アクシデント' 7230, ドロー' 5205, コーデ' 19636, 肝臓' 8287, 319' 21110, 結構' 4270, 和也' 16952, 山陰放送' 6686, 白滝' 23200, ロサンゼルス・ギャラクシー' 23412, シゲルペイペイ' 14882, 東京湾' 16646, 登校' 17414, 隠喩' 12350, magic' 3952, グイッ' 8751, 難民' 19092, 地方' 5711, アトリエ' 19620, 真由' 10197, うそ' 2644, 立場' 1083, 家路' 9201, 前代未聞' 12481, カラッカラ' 16995, ワニブックス' 16222, カンペキ' 11500, 保釈' 22942, 袖口' 12720, しり' 22210, 少量' 20588, 責め' 15800, 貸切' 22965, エミリー・ブラウニング' 12686, ごま油' 19198, カゴ' 10062, 信宏' 20682, 亜紀' 7920, クロ' 10988, 誠実' 4515, ）.②' 18921, 川嶋' 20810, ゴールデンイーグルススカウト' 5016, 1273' 15504, アウトレット' 5965, 昌孝' 14334, 消息' 9218, 視点' 5663, ブンデスリーガ' 1219, 里依' 7120, 多発' 13929, 正江' 10439, サチエ' 9605, 袖' 4202, 沖縄' 12944, 天城' 7898, 胆石' 22815, オフィシャルページ' 18621, リザーブ' 23300, ビヨンセ' 4705, 竹村' 21309, ハルカ' 7044, ニナ' 8043, パズル' 19899, 婚礼' 8842, アンダー' 16466, 不規則' 9488, cafe' 465, 丸' 4135, 穴' 634, 打者' 3502, 葉月' 14548, 日曜日' 12655, 晃' 11672, 医院' 3805, ヘアコスメメーカー' 13174, 見返り' 16417, 一声' 18696, スマートサイクリングプロジェクト' 10578, 協約' 19447, トキメキ' 12214, 浪人' 8580, ランタン' 19539, traded' 4990, 見聞き' 17786, ガンバ大阪' 13438, 軍配' 8748, ポルチオ' 7442, めぐみ' 14434, 第六感' 751, 小競り合い' 20538, 静代' 8086, 残酷' 10049, 1860' 11182, てぶくろ' 10142, 潤子' 21350, 鯉' 16364, ダイナモ' 21228, 卓二' 9259, 熊' 10236, 内祝い' 22065, 観' 1032, 愉快' 6678, 妖幽' 5313, テレビ東京' 6897, ディド' 13712, 決着' 11023, 理子' 5700, 運営' 415, 享年' 4216, 林業' 13271, 課' 4764, ファイナンシャルプランナー' 3307, 穴井' 19229, カモフラージュ' 17385, 抗ヒスタミン剤' 15083, 3065202' 21998, 3980' 18392, イメージ' 70, 増量' 15613, 口々' 12031, 不一致' 17331, 肉弾' 7058, 体制' 15388, 外堀' 22820, ブレーキ' 12308, トゥットスポルト' 12888, ビビリ' 20800, 渓' 23369, 真帆' 17220, ルールズ・メソッド' 16747, レーベン' 14131, 連敗' 2814, 前園' 5603, 園児' 5084. 」「' 12972, 恵理' 3373, 過多' 17755, 宝くじ' 5836, プリインストール' 22981, 現行' 15594, 浮き' 12324, スイングイヤハンガー' 20171, celeblity' 17243, 小姓' 21081, 金儲け' 20828, ハンドリング' 21731, もめごと' 12014, 暖冬' 20881, 軽はずみ' 15122, ローテーション' 4199, 壮大' 9401, 上げ下げ' 22273, ！』. 22751, アソビ' 13985, 見事' 19, 櫻井' 4427, ギャ' 15222, チームメイト' 1202, 池田' 7385, ビューン' 17898, パーソナリティー' 23469, 散漫' 11693, 輝き' 2258, 明日' 3341, 発達' 9251, 香典' 6507, 好条件' 15061, 色香' 16997, 三' 1712, 役目' 3937, always' 18902, 貧打' 22925, 調べ' 6847, ビクター' 23459, 砂山' 4452, 破棄' 21889, 結果' 887, トイレ' 1357, 将来' 2212, 軽量' 17870, com' 6950, リンパサイクルセラピー' 8173, 冷ややか' 6767, 安定' 3207, ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊' 10544, 高須' 6627, 忠告' 8219, イケメン・コンビ' 14493, 付箋' 17184, ミツコ' 21775, フォトコンテスト' 22741, 一員' 7854, アナタ' 10620, 副作用' 14952, 真っ赤' 9963, 合宿' 2287, 代役' 20721, インテリジェンス' 20308, 僅か' 3332, ユングベリ' 16070, 接種' 22145, メルセデス・ベンツ日本' 19396, ナンバー' 12233, ゴール' 1203, 雅' 12991, 市営' 19435, 花粉' 1753, キュー' 20549, サニタリーボックス' 23121, そいつ' 14494, 反撃' 21937, 同士' 1021, いっか' 12939, 高槻' 2997, たわい' 18660, 大々的' 7581, 年度' 2153, 口ぐせ' 10740, ダニエル' 19426, スマホカバー' 20087, ムン・デスン' 14724, 防火' 12004, 外車' 20957, サル' 14742, 戦士' 15549, 聞き役' 15838, 気象庁' 8948, 宣告' 18215, 腱鞘炎' 14608, スポニチ' 19258, 緑' 3123, 異分子' 14750, セ・リーグ' 10810, 助け' 14687, 申し分' 6981, 手料理' 828, ホールド' 20173, 幻惑' 21611, 選り好み' 11150, 投入' 7289, 堕落' 14941, 炎' 14624, しこ' 19224, megadeth' 10983, 利雄' 11459, map' 19036, 世界中' 5996, 性' 610, わたし' 3948, キタ' 20134, 球速' 19954, 一覧' 15571, 熱中' 2031, 夏' 929, トモ' 722, ヴァレンタイン' 20443, 体重' 516, 最低限' 1442, ツンデレ' 13980, フォーマルドレス' 21772, 崇' 5284, 惣' 20991, 打開' 10797, ジェネレーション' 23046, セラピー' 3233, cb' 10263, 王子' 1155, ルーキー' 3501, キミ' 294, 希望' 2452, bleacherreport' 9276, サディズム' 9527, 竜治' 8313, ザ・プレミアムカルピス' 18403, 生姜' 2045, 不機嫌' 10871, 上映' 4574, 併用' 19379, 加盟' 19345, 天文' 14103, 拭き掃除' 19360, 旅館' 2610, マイカー' 11984, 城南' 17360, ラピスラズリ' 9378, エフェソス' 9370, ウェスト' 16313, 完結' 16325, 蔓延' 15816, よしえ' 14229, スニッカーズタイム' 18948, オンオフ' 9550, 画材' 10139, 小物' 5640, 無条件' 16579, 分離' 15662, baby' 13431, 食べ物' 327, 潤沢' 22556, 切除' 18777, 彷徨' 12413, 入団' 2685, ルネサンス' 15143, ワイン' 6188, 木更津' 5922, 産声' 20083, 田んぼ' 17017, biglobe' 12463, zokugo' 17478, 褐色' 9032, 月々' 3189, 値打ち' 5926, 残り' 9829, 恵一' 23446, 不幸せ' 3377, 反省' 2994, 美男' 16089, 四国新聞社' 23016, 仕掛け' 10966, ベージュ' 15790, ダルリーナ' 11624, 非道' 22750, 血糖' 10056, 嚢胞' 20647, 降格' 13111, ベツコミ' 17377, top' 11629, プレ・パフォーマンス・ルーティン' 22758, 栗山' 3416, 最小限' 955, 入り' 3009, 起源' 21541, ドラッグストア' 1777, カタチ' 2300, 洋風' 16836, 問答' 11878, 招集' 65, ダルビッシュ・' 21657, 平安' 21548, アレッサンドロ・ネスタ' 17961, アカウント' 1529, 年数' 3604, サンセットコーポレイション' 22711, 菜穂美' 14024, ビートたけし' 11469, 神棚' 20304, ハマ' 16363, チャランポラン' 21226, 映画' 841, カラーコンサーブ' 18846, ウォッカ' 22647, 着付け' 23390, 周期' 4043, プライマリーケア' 3825, 風物詩' 14302, xi' 16589, プレーンヨーグルト' 2749, 白澤' 9252, ケージ' 14133, さかり' 14444, キャッチボール' 10189, テレホン' 18484, 寺院' 11127, 競泳' 5107, ぎてどうしたらいいかわからない' 18293, よそ' 138, ghq' 22661, 不和' 22401, 古本' 18053, 急激' 6805, ne' 15434, 満天' 15924, 人肌' 19685, feel' 718, ②' 18916, キム' 11449, 丸首' 13885, 一役' 3090, 暮らし' 789, プレジデント' 20779, 譲り' 3844, 主観' 433. 「' 5354, サイクル' 9677, 手相' 12409, 病原菌' 22993, メモ用紙' 19498, 露呈' 157, リメイク' 22305, 足どり' 15351, マシン' 14226, ロードショー' 1674, 若気' 7053, 千尋' 4663, モーション' 3481, エアフィールセット' 11763, 卑屈' 6044, 縫合' 18772, デザイン' 3171, マーガレット' 10711, シェア' 4608, 訪れ' 14326, 不治の病' 11045, 阪神タイガース' 2796, 即位' 22639, 髪形' 17817, 実母' 3769, トライ' 8105, 豪快' 4651, 日時' 17426, リトル' 8364, 症候群' 11514, ｎｏ' 12921, 滋養' 23361, マダム・ジーナ' 4656, ccd' 11486, ウィッグ' 20005, 震度' 20688, 省エネルギー' 19538, 紙一重' 19359, 仰天' 1573, 来客' 11280, イキイキ' 4593, ボトムアップ' 18510, 復調' 6721, 参議院' 20534, 手のひら' 5780, 浮き名' 17712, ディエゴ' 18898, シゲルキボウ' 14888, 同店' 16900, よしこ' 21696, 釣り竿' 13907, シルエット' 16023, beautiful' 18010, ニラ' 8142, 本棚' 9920, 鬱病' 16287, 失礼' 6035, ゲスト' 1549, 大阪' 2232, 俊太郎' 8532, かかと' 21787, ストライクフォース' 19111, black' 22905, やりとり' 6317, ノラ' 23404, 東日本' 856, 内覧' 19411, 鎌倉' 22078, 香川' 1214, 試み' 15195, ボンジョルノ' 19330, チャンピオンズリーグベスト' 9272, 上' 59, 手つかず' 19062, 池' 16600, スルー' 8787, サンバイザー' 20039, 畑' 15293, 深度' 13982, ムイーヒィィン' 22718, 奇岩' 16717, ぉ' 18133, 鼓動' 18640, 初球' 16797, あしらい' 16972, technica' 20185, 糸口' 13595, インターナショナル' 5493, お待ち' 9006, 事情' 4788, 今更' 18737, 基地' 13034, 駿' 23630, ステイ・フレンズ' 15399, 減税' 11358, ミドリ' 8987, 完遂' 13589, お嬢さん' 7821, ヤレ' 18995, 開催' 2130, 北海道大学' 14746, 転換期' 15390, ススメ' 2072, 是' 16195, リタイヤ' 22999, 制球' 13650, 負けず嫌い' 3843, 否応' 19675, 145' 9149, 毛髪' 18841, ばん回' 4022, 比肩' 12435, 風呂' 1857, 隆行' 21034, 成美' 8339, ぷよぷよしてきたので' 15557, 孤' 6938, ただ' 1018, 新興' 18618, 景色' 9122, アイデンティティ' 20022, 隆史' 13486, ウチ' 2592, 必須' 5753, エール' 2030, 目玉' 2378, 馬淵' 13640, 決め手' 8396, liz' 19641, 収支' 8192, 手配' 9727, 山口' 3647, 花札' 12591, 変更' 3737, 至り' 7049, mast' 21222, ミンク' 21771, イチロー' 4191. ）' 17539, 代名詞' 2170, クラリティ' 22388, うねり' 22419, 群雄割拠' 14320, 母' 708, ウォークアバウト・パス' 20329, バッタバッタ' 20794, 潮時' 12780, 北西' 2451, 家康' 14657, 足かせ' 1302, ガンダムオタク' 19872, 計上' 20678, 信頼' 717, インストール' 17438, 赤' 6656, アスリート・トップ' 12024, 商売' 1260, 122' 20672, 神社' 2564, 草野' 6756, ビズリーチ' 23170, コミックス' 13434, 昌子' 4039, 丸山' 2993, 追加' 7419, 990' 20514, 網' 9011, デリカシー' 3902, 通' 4768, 嘲笑' 14715, 天丼' 21756, モニタリング' 7532, make' 13993, 合同' 15468, 目尻' 14677, 1971' 17312, わらじ' 18687, 自画' 15583, 110' 11108, 濱口' 22291, 大辞林' 749, 承認' 4872, デビスカップ' 13000, 昭博' 15007, モミアゲ' 9949, ガバナンス' 21741, 平ら' 659, 防塵' 11489, 幕末' 2582, わっぱ' 5423, 真っ黒' 14946, 興奮' 1740, 上辺' 1151, 胃' 13679, カン' 762, 右往左往' 13307, 国技' 15666, カタログ' 11047, 無人島' 17297, 紙面' 11717, ゲゲゲ' 19891, 全幅' 15803, 削除' 11343, 注入' 12703, ビビッド' 14940, アーカイブ' 16381, バイオリン' 9994, アナザースカイ' 21155, 健一' 10961, モクモク' 22881, 英語' 9596, スピン' 14092, プレドニゾロン' 16183, 神木' 22081, deluxe' 22739, 絶壁' 12176, 革' 12750, モノトーン' 11814, 進学' 6578, 無愛想' 16442, 身' 2255, 区別' 4162, アカ' 19343, 合成' 17906, 尻' 6456, 受け売り' 9575, 眼福' 23294, スルツキー' 12887, 修業' 9834, ゴールデンウィーク' 3406, 足湯' 16584, プロテイン' 15614, 濡れ衣' 20017, ババロア' 9777, 結納' 8891, 試飲' 1901, ヒヤッ' 10589, 所長' 9782, 康彦' 17965, 妊活' 14625, プレイングマネージャー' 17128, ホン' 20158, エクリプス' 19744, 口内' 16858, 生い立ち' 8668, ひと昔' 18125, すえ' 443, 傲慢' 8233, 大地' 22764, ホアキン' 19140, 激動' 12497, 採用' 5199, アンジー' 16771, 讃' 20986, マシ' 6296, 緑色' 8152, 場' 625, 怜' 18055, アズサ' 16451, たか' 17584, 春彦' 22791, 602' 8998, マリオ・マシアス' 17496, 43' 6138, イタズラ' 10617, ボーダー' 11185, セロリ' 12559, 投薬' 5734, 確信' 7716, お裾分け' 20938, 上戸' 20250, 不得要領' 11465, 敬称' 4784, ジャズ' 4602, 辰巳' 21746, 皮質' 18317, ずし' 12458, タジキスタン' 6725, 理絵' 11919, 超' 5034, チャック' 11654, ムシロ' 20806, イージーミス' 7414, 外聞' 11029, コンシーラー' 18291, みのる' 22339, 正午' 22137, 餃子' 17818, 命題' 15643, シゲルシュニン' 14890, アルベルト・ザッケローニ' 8490, くし' 18860, コメント' 231, 潮田' 7382, 光文社' 2158, 欲' 3950, 独り占め' 13670, 根拠' 15804, ♀」「' 17521, オリックスバッファローズ' 21665, 開設' 8534, スタミナ' 14767, 的場' 17537, misono' 17502, 孝' 17070, バルス' 17561, mother' 10295, 静生' 21612, 臨界' 3964, 銘柄' 4962, エレガント' 13995, 編集' 1881, ♡' 11770, 淡路' 14469, 丁目' 1610, 後遺症' 18025, 深呼吸' 14241, デアルビジン' 2063, こんな' 11422, 欄' 4868, 一戦' 6696, 創業' 14503, 智子' 3650, クオリティ' 11296, 視界' 7503, 宮里' 14380, 歌津' 6281, beat' 2336, 人相' 4849, 立秋' 21476, 不休' 4478, オアシス' 2883, 行' 9700, 時季' 17603, 民話' 14082, 16' 1491, センセ' 9687, 1069' 21114, フローラン・ダバディ' 22170, 看病' 20521, 力学' 7513, 国籍' 6108, 安倍' 6069, 制止' 1591, 仮想' 15619, 攻め' 11612. 』' 21949, 不器用' 3912, レター' 9284, 巨乳' 3864, 常識' 2321, 123' 17122, 読者' 2191, アタリ' 22131, フレーム' 16535, 小学館' 3357, フォーク' 7162, 7500' 23437, 早晩' 23481, 美加子' 17400, ドリーム' 5941, 愛人' 7963, 一方' 2333, 詰問' 23453, 」——' 12950, 物事' 3388, 受粉' 17015, 貴文' 18359, susie' 4724, レフェリング' 8445, 江美' 9717, 赤外線' 7516, 随筆' 10023, イメージダウン' 12854, 地銀' 13454, マナ' 1849, 全治' 2984, ドーパミン' 8092, メンドクセー' 12778, 織物' 15863, うなぎ' 1628, とり' 5249, カビ' 20231, 誘導体' 19591, all' 1366, 千博' 20126, 否決' 8673, 風' 2627, ヤベェ' 23564, レバークーゼン' 22611, 根気' 2498, 簡保' 4938, 背水' 2841, 繰り返し' 1746, 丸見え' 20619, 真中' 16688, 手ぶら' 20977, 余分' 3074, 牢屋' 11869, デジャヴュ' 21967, 平然' 14515, 六甲' 10345, 74' 8083, 開校' 18831, アンテプリマ' 13782, いき' 17981, スポーツバー' 8342, 段違い' 23025, 実績' 2553, ふり' 9990, たら' 22878, 決死' 20821. 」“' 19920, アネッサ' 12313, 解凍' 21752, 森高' 22279, 醍醐味' 5985, ホッケー' 9491, 目上' 9762, 生徒' 2457, 喫茶店' 2872, 餌' 13904, マネ' 6043, ファイター' 2510, ゃってるのに' 18931, ツータッチ' 22427, 退屈' 9983, 婦人病' 2009, クッション' 5658, シーソーゲーム' 14351, 1958' 18539, テレビ局' 1419, コーチ・モロゾフ' 18014, 優遇' 12608, 仮病' 18101, リンパ' 1905, どん底' 2277, 母国' 2710, イタリア' 6026, 夏期' 8358, 災難' 10114, 貴代子' 18268, ジャガイモ' 12105, トラップ' 7243, 別れ話' 16506, 英子' 22090, 山登り' 11159, 受話器' 18126, サラ・ミシェル・ゲラー' 22600, 学会' 6931, 産後' 14611, 日数' 17119, 真っ先' 9039, お知らせ' 6301, 足' 6724, 守護' 8424, 手' 13746, 辺り' 6639, ごっこ' 21065, 作出' 10413, ' 23454, 糖類' 12246, 病みつき' 21425, オンラインストア' 13778, 半場' 18684, ひとまず' 17329, ロマンティック' 1093, フナキ' 11856, コメ' 12777. 」. 23281, dmm' 10980, 繁殖' 20789, カーテン' 3091, 陽子' 8363, 退社' 9729, 小太り' 14566, 半そで' 15787, 近鉄' 5010, 偏り' 5962, 室内' 845, コンビニ' 1465, スリー' 16541, ドラッカー' 15676, 那美' 18562, バンブーエッセイセレクション' 13019, 美貌' 7849, 渚' 12550, 施設' 3732, バスト' 8975, 気さく' 4084, pty' 12713, 創立' 21579, 試験' 3366, 脱衣' 10444, 領事' 10106, ベストセラー' 13803, 竜王' 5934, 美佐' 20128, コスメ' 13217, 伯' 5843, 久光製薬' 18965, 公休' 22236, エキサイティング' 21184, 貴公子' 23417, キャババア' 23620, nhk' 4011, 初心者' 3151, more' 2215, あさの' 16268, 還' 17253, 世界一' 1480, ビデオリサーチ' 17105, フィリップ・トルシエ' 22422, 倫子' 14751, 語気' 14490, ワルシャワ' 15629, 出費' 1422, 近畿' 20887, 漬け' 5434, 刊' 2318, ヴァンフォーレ' 7128, ナゴヤドーム' 5620, 370' 8073, 断食' 21210, ディジョン' 15630, あした' 20965, 1986' 8546, 模様' 2401, 由美' 11175, bbc' 12884, 貴重' 2715, コンビネーション' 17556, 鎮魂歌' 17613, ジョウロ' 15360, フェンロー・' 20247, 募集' 3202, ヤキモキ' 12103, 福本' 15996, 飢魔' 14568, 恭子' 10743, ベス' 12396, 分配' 9792, 試練' 12441, 程' 2747, しるし' 15418, 座布団' 8840, ドール' 8699, ワシントン' 10306, ガードマン' 6763, 正時' 19878, ミドルブロッカー' 18967, 行き来' 12979, 「. 20349, 埼' 18328, アンチエイジングテクニック' 22473, きまり' 10969, 腹いせ' 21651, アイマスク' 15871, ハツミ' 15117, 長もち' 8900, そん' 7660, ベルベット' 19514, 宿命' 6040, 要領' 6350, マネキン' 21208, 弘樹' 14324, やり繰り' 14198, シャンプー・コンディショナー・スカルプエッセンス' 20740, 視' 209, ！！！！！！' 7443, 塩谷' 15309, ーーーーーーーーーーーーー' 22719, キャシー' 21053, 石けん' 11405, 太鼓判' 8710, みちる' 16106, 孤高' 8226, ランク' 3412, 上下水道' 19658, ショウ' 9698, 毛根' 16455, 繁忙' 6592, だらし' 9225, 「. 2494, 閉経' 18316, 誘致' 20679, 1988' 7599, 横目' 18356, 残留' 8482, k' 2531, 屋内' 10561, カミさん' 22917, 狩り' 22830, 鮮度' 23097, カ月' 776, 文句' 2298, 中高' 14333, アレック・ボールドウィン' 22598, cc' 21239, 公式' 1649, 昼間' 4583, エイ' 10334, 前橋' 3697, ドリカムファン' 21146, 合祀' 11139, 江戸ッ子' 23255, ごろ' 7186, カイワレ' 21793, yoko' 23077, 毛ガニ' 1328, メカ' 9655, へんぴ' 15979, 梅干し' 5425, 建て' 20325, セントラルミッドフィルダー' 9274, 貴子' 5024, 和馬' 13813, いつ' 3535, 黒髪' 13373, blower' 10372, 届出' 9644, 也氏' 15612, 設備' 11156, コロッケ' 1572, 死に目' 21799, 印鑑' 23388, 気質' 4064, 黄金' 6816, 下落' 9461, コラム' 4979, 実質' 15755, 海産物' 5448, ディエゴ・フォルラン' 15239, 何様' 8387, 人体' 16014, アリエナイ' 1900, 法子' 14435, 極寒' 18804, 広大' 2623, 盟主' 6257, 燃焼' 15207, 胸' 1301, 菊沢' 16365, 東子' 12339, メガホン' 9991, 初夜' 18765, ストレート' 3922, 策' 7089, 裏側' 1797, トランポリン' 8321, ガンガンウェイト' 4814, 沈没' 22642, 呼び名' 5890, ジャネー' 23100, 二荒' 21545, 直球' 13938, ちぐはぐ' 8207, 正' 12235, lindesay' 12681. ←' 9270, 払拭' 8155, リンク' 135, 送金' 21351, 全う' 12433, 願いごと' 14105, プラネターリアム' 15903, 省略' 6305, 謎' 12708, パック' 9786, ケニア' 17076, 不都合' 11970, イン・ワンダーランド' 18250, 天候' 6644, 経年' 13120, ビートルズ' 6165, 皆さん' 1495, 的中' 15229, 武弘' 47, ながの' 8878, あだ名' 3985, 一眼' 3613, 出先' 2878, ビス' 12083, ピーリング' 22802, 我が家' 2588, ひな壇' 21797, cg' 12026, 詳細' 2563, 3003397' 6962, ポトフ' 21627, 一括' 14184, 璃子' 17399, グラブ' 23492, 日食' 14100, 劇団' 17183, 完全' 1484, つき' 4841, 秩父' 23581, 水揚げ' 10570, ニッポンプロジェクトフォロワーズ' 19233, ヘル' 22400, ぃす' 9656, のぞみ' 1401, セント・フォース' 21281, 敬老の日' 16065, 05' 7403, 遙' 13501, 食い意地' 22766, 初夢' 13386, アキコワダ' 20787, 遊び人' 7590, こっち' 5245, 傷害' 12468, バリ' 15792, ｐｏｔ' 15275, 3600' 18559, 功労' 13860, 剛腕' 22731, ペロ' 20557, 献身' 12085, デッサン' 21009, ハヅキ' 22946, 見開き' 16548, 同然' 14458, 倉田' 18147, 明彦' 15751, 毛布' 12965, 必読' 3916, 勇敢' 17304, 積年' 9481, 阪神' 2838, 714' 20680, 若葉' 21791, 500' 5082, バックパッカー' 22822, 引き取り手' 5386, 神聖' 12918, 紳士' 1136, 190' 14933, 陰謀' 23543, 外人' 14337, サンデー・ジャポン' 2538, バッケン' 14827, ゲイ' 11326, 怠惰' 20556, 後者' 9001, あつ子' 21912, 品行' 13734, ジェニファー・アニストン' 11118, 球児' 11355, xchange' 5375, ハイウエイオアシス' 23114, friends' 16088, 知ったかぶり' 8211, 空地' 13921, 725' 11542, メンズ' 11083, 路上' 390, サイドブレーキ' 7235, 速効' 8937, 勤務' 1816, 黒瀬' 14150, 永遠' 1091, ブル' 8943, 特産' 4804, 精彩' 17973, 貧弱' 13514, ≒' 23020, team' 19828, クルーズ' 9366, ブスカワイイ' 17908, 玉木' 21957, 家探し' 15062, 手提げ' 12929, want' 4366, 気まぐれ' 8439, 添削' 19716, ダース・ローマシュ' 16947, うえ' 899, 切れ' 2066, リフト' 11178, ヌード' 10818, 時給' 1632, 連鎖' 14465, 切り札' 13720, イスラム' 14467, 捕手' 14541, 付せん' 16547, 恩返し' 12288, ミッドフィルダー' 15756, 留学生' 17914, 器質' 19702, ヤジ' 19305, がく' 20347, plus' 22439, 旺盛' 21328. 6850, 協議' 8726, レイアウト' 20846, 主婦の友社' 13967, しめじ' 19168, ムス' 17705, 山手' 6052, 蓋' 8689. 22050, ありったけ' 22348, ギブ・アンド・テイク' 13889, ネイリスト' 17750, エドワーズ' 10546, 珠美' 7075, 乳酸' 18407, 男心' 8264, オジサン' 17696, 間合い' 21457, 名物' 5943, 61' 3738, ポロッ' 20625, トレ' 8070, 沙月' 13359, 国政' 2546, 客商売' 12403, 了承' 13675, 測定' 16019, 架空' 10190, 衛星' 820, ニベア' 18707, uk' 22278, 気持ち' 29, ホバート' 20332, ドア' 7527, 公子' 9896, 喜多' 8897, 本領' 17210, 祭' 2124, aquos' 11497. 「' 5164, コンタクトレンズ' 9559, エディターズバッグ' 16860, 集め' 10284, 検索' 607, かげり' 14600, 告別' 6541, 祐美' 10288, サザエさん' 19890, 弱火' 16829, 展示' 5927, 渡航' 9336, エフ・フォー' 23075, マドリード' 22493, 総務' 9425, お勤め' 5724, 落馬' 1496, シュプール' 18514, japan' 2999, ルーク' 14182, 赤ちゃん' 735, アッタク' 17999, スクリプト' 15105, 十八番' 20830, 語呂合わせ' 21808, 由希子' 9942, 仁志' 5136, 鷲掴み' 21213, カード' 4497, wags' 13146, 新調' 13634, カナエ' 11144, ベンツ' 18649, グウェン' 11426, ユートピア' 9585, スタートトゥデイ' 16198, meet' 22745, 武士' 17434, 塀' 15345, コーディネーター' 15296, ラブ' 6390, タイトル' 1141, 衆' 20397, デンジャラス・ビューティー' 23464, 割り箸' 13273, 床' 4048, shot' 6104, コンタクト' 4845, secret' 17323, 放牧' 13297, 烙印' 5714, 失業' 20519, 当選' 5417, 講談社' 1915, 横田' 13843, ペルシャ' 21915, ステップ' 8613, リーベ' 19552, ヒロシ' 8508, 小橋' 7641, プロフィギュアスケーター' 20646, プレイ' 9526, マシアス' 17493, 個室' 6434, 忍者' 13429, 百発百中' 19526, 先週' 3755, ver' 22248, 米ドル' 4956, 雅弘' 23655, マッチョマン' 15169, 相応' 9712, 熾烈' 11844, 高値' 6219, コマンダーイン' 14859, エキサイト' 17277, 塩焼き' 19182. 」（' 22653, 長野' 2420, 初代' 5032, 弥生' 19465, entertainment' 7833, ビクトリア・コモワ' 17267, wwwwwww' 16488, 心頭' 1521, お雛様' 21083, 日本武道館' 5045, つけどころ' 7844, シナモンシュガートースト' 21066, 構成' 4569, 送り' 6332, ご馳走' 4407, 述' 11200, 20' 603, 谷原' 7655, ガチンコ' 12845, 拍車' 12019, ヨシミ' 7014, お節介' 18810, 直径' 10646, 液状' 5511, ジム' 6346, ノリ' 3006, 延長' 3515, 祝い' 9857, 罰金' 15456, オコイノダムバビ' 13769, ホトホト' 14545, 龍二' 14145, 有害' 18273, 図' 2598, 叔父' 21659, 羅列' 21131, 天' 7765, 野次' 15508, 快調' 22635, 推理' 21284, ズブズブ' 23520, aug' 15976, 先人' 17819, limited' 12700, オカルト' 21654, 悔い' 8984, マリオン' 15253, 飯田' 17940, カムバック' 8952, アリ' 4409, 日当り' 19363, 顛末' 7978, 綾子' 2779, 本数' 8089, バルーン' 5657, 輝彦' 16354, 不正' 8778, 土山' 23176, チャント' 9309, 勝ち越し' 3032, 父' 1947, 吉則' 11354, kao' 2067, イク' 14412, 総本山' 13138, 安室' 13994, うろこ' 12751, 華やかさ' 11241, 苗字' 21679, myfc' 8809, 和恵' 20525, つゆ' 10397, コートジボワール' 13492, 家父長制' 20303, ハマリ' 14268, 一大事' 18592, じじい' 14823, ルイザ・ネシブ' 12424, シーザー' 17674, ポッチャリ' 9470, 晴美' 16207, メリット' 790, 泣き笑い' 10602, ナプキン' 1772, 化膿' 1759, 土産' 1338, 菜穂' 17408, 気楽' 4776, ——「' 17709, キレイ' 579, 雑穀' 10674, 一筆' 15768, 会長' 3713, 研磨' 19574, パイパン' 16468, 打席' 5995, 多幸' 21581, 客席' 6184, ネーミング' 3716, サム' 18565, 否定' 2322, しず' 8074, ひやひや' 14528, マン・オブ・ザ・マッチ' 18593, 福岡ダイエーホークス' 15496, チュチュ' 18657, ラスカル' 20255, 寸言' 12846, ハイレグ' 17868, 絶世' 16779, パク・ナムチョル' 11442, お答え' 21200, 新春' 22932, リベンジ' 16192, 高野連' 11341, 名義' 14450, 爆乳' 17384, 京都' 2738, マーク・ラファロ' 19577, ジャグジー' 16719, 診断' 3785, 朝ドラ' 18104, 公称' 14647, 猛省' 18932, ％)「' 15072, 会議' 3513, バルト' 1650, マキヒロチ' 3334, ジャーナル' 5690, ビジター' 13316, ノミネート' 8502, 子連れ' 19474, 薬' 1809, 和子' 17416, 各社' 7273, 脚力' 15746, 躍動' 9273, 発券' 20326, casa' 9348, よう子' 13428, どうこう' 9319, 感化' 16125, せんしょう' 12659, 大樹' 2857, ロチェスター' 16812, かいな' 8291, バルディリス' 23641, パンチ' 303, 世渡り' 9979, 本省' 20234, 複合' 5960, 英樹' 3426, 66' 8727, えり' 287, 稼ぎ' 9181, 下向' 17043, 手抜き' 17216, 救命' 12983, 昆布' 5510, 極論' 14047, 傘' 12927, 守護神' 10164, funaki' 11858, 無情' 20801, クリーニング' 19138, グレイシー・ハート' 23458, 拍手' 4351, 肉食' 5913, 文頭' 22460, 上げ' 8069, 園内' 3290, 話' 166, 山一證券' 21782, 意思' 2180, ）♀」' 17520, 充電' 13186, アルバム' 16889, 中' 9763, 引出物' 12637, no' 7944, ？」. 22184, ドリブル' 1220, ホルミウム' 19549, vq' 5144, メジャーリーグサッカー' 23411, ゴシップ' 7047, 染み' 12727, 市長' 2913, 飛散' 15087, ペース' 3449, ぎこさんです' 18996, あくせく' 21670, 位置づけ' 19384, 杉浦' 17517, ゃいけなくなった' 14720, ラザニア' 17396, カンヌ国際映画祭' 16294, ガードル' 16020, 内勤' 2649, アバンギャルド' 15172, ゴットファーザー' 19128, 密やか' 16172, 中小' 977, 図書館' 4597, ふくよか' 10917, os' 22974, 根源' 16039, 貧' 3899, セールス・グラムール' 18509, 大松' 23633, 裸足' 1611, 引っ越し' 440, 審議' 10905, クラゲ' 21203, フランク' 10708, 宝物' 15467, スコアラー' 22829, 初田' 16533, ボア' 22128, ぎょしゃ' 15940, テレクラ' 6449. 」' 7478, 波風' 6389, wwe' 11857, wwwwwwwwwwwwwwwwwwwwww' 22728, 忘れ' 16608, 手助け' 6588, 鎹' 21947, ウィキペディア' 12142, 当時' 1201, 再建' 16139, 意表' 11690, 冗談' 3484, 騒音' 12613, 誕生' 756, モヨコ' 17066, 交遊' 5813, 成熟' 10390, 総体' 15573, エッチ' 12154, 片思い' 12824, シティー' 14281, フォロワー' 12436, 報酬' 15459, 券売' 22894, 状態' 638, 包装' 10082, 三郎' 22470, 﨑宗' 22370, バレンタインデー' 18983, みどころ' 22294, 探検' 7454, 大写し' 22634, あっぱれ' 19220, 清張' 22177, 次点' 20731, 助教授' 20458, 教会' 16518, 美和子' 2664, ダリヤ' 20763, ビーフ' 17404, pcr' 18845, 拝借' 22795, ブランド' 5479, るい' 10744, デキ' 5719, ノースカロライナ' 6914, お願い' 1834, ババ' 11733, 的外れ' 23312, タトゥー' 19019, 歳月' 14943, たね' 20704, 摘示' 12869, 食パン' 21062, ぎんなん' 22073, レコード' 12369, 生意気' 9851, アントニオ' 6877, 鉄拳' 173, 平壌' 11453, 長谷川' 5130, 座談' 8476, ども' 1144, 駒沢' 18077, 形容詞' 17910, 脛骨' 7226, タンブラー' 13774, 散歩' 687, 格調' 17672, 峻' 11566, オリックス' 5015, まやかし' 9125, 国産' 21138, つま先' 5560, アロマ' 5584, 22011' 21644, 折り合い' 14801, ドアラ' 16393, おじゃま' 7924, 豊富' 1272, google' 560, 栗田' 21458, 家柄' 15446, 苦戦' 3393, すべて' 2196, 勝間' 22217, ブランクス' 23128, ミス・ユニバース' 22975, 道明寺' 23065, 実情' 7359, カチコチ' 18900, sunset' 9377, 163' 19115, 必然' 2241, 中央大学' 4827, 呆然' 7707, フェザー' 7444, 中居' 12070, ハイテク' 17863, かわり' 1423, 声援' 10997, レネー・ゼルウィガー' 18946, 抽象' 14295, 九死' 17081, ″' 2095, 美保' 6490, 安らぎ' 17062, 肉質' 22857, 980' 5462, 公明党' 15668, 澄子' 12169, 上限' 4327, 食器洗い' 4392, 電信柱' 20926, 払' 23004, 強弱' 7940, 和田' 1550, 挑発' 5527, オバマ' 3222, おろか' 6764, したたか' 3872, スカウト' 15499, 財政' 16473, 松井' 184, ドキュメンタリー' 10785, 告発' 6261, 鳥原' 18189, クーガー' 22584, 亜由美' 15917, rd' 13370, ボビー' 10792, 杉野' 2314, ウンビ' 11087, 絵' 1094, 極彩色' 9101, 武装' 23006, 美央' 15585, ラビリンス' 23108, 人並み' 18971, 歓心' 10497, ——」' 20197, 話し方' 18173, クリーブランド' 5683, シゲルモトナリ' 14879, 無名' 11386, nfl' 20705, インディーズ' 21898, 鳩' 12272, 孝行' 12107, 押し麦' 12567, houjoh' 9690, 洗練' 9016, 雪江' 19116, 年甲斐' 23239, 血' 2070, クレンジング' 21969, 話半分' 22918, 投手' 3424, 手軽' 915, 南方' 23403, 仏滅' 12635, 木村' 9739, 大木' 1198, 荒牧' 17375, 体臭' 12740, フェイスブックページ' 15832, エル' 13594, 先手' 7596, 夜這' 21473, っ放し' 21078, パリス' 19616, 改築' 20224, ワサビ' 22899, 首都' 5382, 雅之' 20526, 利害' 15815, 基点' 20067, パッド' 12749, dr' 20869, 迷彩' 13845, 防戦' 23444, チェンジ' 5270, 非理' 691, 幹部' 12811, リー' 11777, 壁' 870, あんま' 44, 筋肉' 1773, 広島東洋カープ' 8414, 太め' 16460, wd' 22623, 共有' 4138. 13213, 15' 1679, チーク' 18351, サンフレッチェ広島' 4365, 早期' 3830, ピリオド' 20188, 温' 1682, ギャバ' 11549, キャバレー' 19152, みそ' 5460, ファインダー' 3610, 恵' 6065, 良一' 10567, 海保' 16270, 慶弔' 15761, 強気' 6601, 区' 2724, 鶏肉' 5478, 分岐' 4626, コンサドーレ' 18201, シーツ' 13462, 便座' 19497, 磯野' 19692, ひび割れ' 17013, チグハグ' 4121, 草なぎ' 12067, 和明' 5006, いとう' 7339, 福田' 12297, 胸部' 23015, ちや' 19234, タケ' 19129, 遮光' 13464, 絵図' 17359, w' 3030, マスター' 6536, 遮断' 7859, 太一' 15895, 彗星' 13708, 愛媛' 7463, ヒシ' 16351, 無性' 15042, 罵声' 17376, 特製' 18404, 厭味' 20235, バリキャリ' 9514, カンフーサッカー' 20536, 蒸し' 19204, 実体験' 12450, 出自' 12437, セント' 20259, 花言葉' 10422, 豊か' 909, 自給自足' 23009, 養子' 10308, dreams' 16935, ゴールレスドロー' 5209, 有里子' 16920, ひと味' 7929, 計量' 4858, 復活' 2289, 飲み代' 18330, 柔らか' 10123, 由比' 10944, ホック' 17571, ゴクゴクシカジカペットボトルホルダー' 16386, 無職' 1387, 別れ際' 14900, フットボール' 3693, 競り' 8717, 1967' 19755, 本拠地' 7210, 津波' 20089, 工場' 18002, メキシコ' 7427, 護' 20769, トンカツ' 20590, コーチャー' 21605, ホルダー' 19669, フォン' 7578, 春田' 19348, 美樹' 14357, アスミック' 4547, 引き換え' 10593, 垂れ流し' 23160, woman' 7894, 数種類' 20604, 証言' 945, ベリー' 4594, ん' 35, いかん' 21610, ９' 8655, 沢尻' 2163, 最善' 11793, 冠状' 7972, プリセット' 11475, 年波' 17317, 沈着' 13388, 体たらく' 14996, 神宮' 16667, フォトギャラリー・バルサ' 16725, タイムリミット' 7853, キレイファイバー' 22539, 履歴' 15763, 宮本' 13946, ナップ' 22986, 邦彦' 19006, 上旬' 20935, トラブ' 7057, 紛失' 14633, アレンジ' 7286, 垣' 11847, 学者' 10027, 範子' 20527, スパイシー' 19077, 高校' 501, 縦' 9498, 血液' 3766, 片山' 7693, 1945' 22665, ケジャン' 15530, 監禁' 22163. 1498, 忠誠' 12381, カテゴライズ' 13806, 返り討ち' 17238, ウィー' 14369, 安堵' 12649, アプリ' 5139, 共演' 10095, 圏内' 21098, 増谷' 13252, 希薄' 6519, sp' 3596, 109' 19631, 風俗' 1285, 男気' 12342, ポンド' 22638, クック' 17733, 民' 18938, 召使い' 15727, 平畑' 15227, 頭文字' 19090, 都立' 15425, 由美子' 319, 和' 668, デニス' 18245, ほとぼり' 21842, スリークオーター' 20295, モン' 14242, 回戦' 8289, 正晃' 18673, デオドラント' 14245, ピッチ' 83, まじめ' 8256, 連戦' 4097, 柔' 17201, 心がけ' 13673, 葛西' 21508, 試供' 15851, ばあちゃん' 16872, リムジン' 11753, 助言' 4509, 綺麗事' 21212, 完成' 5424, 寺戸' 19821, 失念' 23511, 739' 20673, 原理' 3119, 満島' 18105, 火種' 14895, 出生' 1020, 因果' 14756, 進言' 7824, 大西' 8317, ヤングエグゼクティブ' 21758, ミツエ' 8390, チェレンジ' 12823, 切り' 18972, 厳格' 12401, 音頭' 15339, ウエスト' 6359, 見当' 11884, 6974' 23247, 通知' 10898, 東京国際大' 6833, 出所' 3597, 大和' 20953, ナビゲート' 11704, ウチムラ' 5556, ぺたんこ' 17581, 頂上' 22261, 一人ひとり' 12011, 男優' 17219, リエカ' 17980, 沢' 1689, ラストイヤー' 14794, 後ろ' 404, bright' 7340, エキス' 8557, カンボジア' 13295, 便器' 6071, ゆり子' 11063, ル' 8145, 土台' 19779, ラップ' 4411, ミューズ' 15269, 文言' 11975, 蛮行' 14305, ナルシスト' 11521, お子様' 17689, 草食' 6936, 2060' 19804, ホコリ' 1264, 昭和' 3631, キャロライン・ガルシア' 15248, トレーラー' 18249, escala' 22399, ダスティン' 14516, 県警' 15579, 早退' 2943, 飲酒' 7971, メラメラ' 17330, ランディ' 17465, 派' 488, 107' 2781, エツコ' 22944, 抹消' 10937, 白熱' 891, 狭義' 12149, at' 11633, kkk' 18090, パラグアイ' 17928, ムカムカ' 21751, お腹' 2660, コント' 7229, dict' 17480, 蒼' 14706, 京香' 10735, ｏｋ' 1364, 墓地' 11140, 奈間' 21248, 精算' 14222, 一語' 11937, ナ' 23337, 繋がり' 7078, 夏休み' 3367, ジャケット' 6798, 一生懸命' 4650, 発育' 16217, カップめん' 21555, 弔問' 16834, 天皇杯' 10276, 有働' 12748, 1969' 4224, 浦田' 10088, 離れ業' 17828, 入場' 2135, 叔母' 13117, ドラッグ' 4545, 免税' 6801, 普通' 1660, 手加減' 2929, partners' 10791, 特約' 4964, 雪子' 16915, 藩' 2595, 平が' 5544, マンガ' 3897, パッケージ・アロマブレンド' 18839, 知子' 4731, 群' 3698, 近代' 8333, 一筋縄' 13157, サザンオールスターズ' 19464, 率' 264, flashuing' 23612, お誘い' 1393, 保護' 7362, チン' 5610, 綾' 5118, キャミソール' 13473, ソルステインソン' 16675, ホフマン' 14512, 洋服' 3576, きゅう' 10127. ■' 8989, ぇつないでたりしておらぬか' 21293, キッパリ・セルジオ' 17596, 断行' 10809, 現時点' 15703, 救い' 15000, 露出' 5324, 赤裸々' 3957, スピーディー' 23443, オーガニックブランド' 20735, 1982' 6953, 泊' 10875, ゴツゴツ' 17640, 木崎' 19938, 柴田' 16410, 三井' 5938, 突き指' 15992, 自滅' 13001, バア' 21817, ケータイ' 3257, ストレッチ' 1855, トランクス' 20640, 1999' 17977. 「' 8867, テスト' 5239, 歌姫' 15534, セ' 7520, バナ' 6488, 実演' 21330, 心願' 12363, 清原' 17604, 貯蓄' 4955, テッペイ' 13942, オレハマッテルゼ' 14876, 写' 6054, 車輪' 10338, 介護' 9579, アマゾン' 22579. 3187, ミツウロコ' 10747, 依存' 1959, 総研' 5178, もっとも' 5585, 緑黄色' 16846, 震災' 688, 実花' 14951, 豪邸' 1097, ホロ' 8586, マフラー' 13447, 公園' 7353, 緩和' 12045, マーメイド' 5850, 中心' 2140, 駄菓子' 22654, シュトゥットガルト' 12960, ハシッテホシーノ' 12074, ダイジェスト' 6643, 風紀' 20348, 味わい' 11658, ウインドウ' 6995, 味噌汁' 8108, コリ' 9044, シャッター' 8225, エチカ' 21171, クッキング' 8932, 決勝' 2996, 280' 14930, 包丁' 7267, oh' 7654, 駅' 1406, 格好' 957, 歯ブラシ' 6425, macbook' 16613, 久子' 16851, アラサー' 1242, オーラ' 11743, 警察官' 10586, 拓司' 14002, 懇願' 21329, ワイヤー' 4604, サンチュ' 5255, だいだい' 7338, スパイラル' 2325, ゃいけないっていうか' 22657, 過程' 5311, 3825231' 18647, ジジ' 12375, オリックス・ブルーウェーブ' 15498, 就寝' 7983, 枕草子' 15935, 馨' 8346, 負け犬' 6154, あだな' 22457, 恐縮' 9868, 乖離' 11031, 不潔' 13742, ママ' 2138, 含有' 11552, 880' 16873, 連呼' 8221, スプーン' 9766, 亨' 18879, ディシジョン' 6793, 終り' 23382, 淑江' 16314, がた' 21828, コンクリ' 20223, 可否' 7469, 器用貧乏' 9693, 月報' 20872, 買物' 14518, ゼラチン' 11544, メートル' 2259, のっけ' 3761, 入魂' 8046, 共催' 16661, 和歌山' 23267, 典子' 10209. 228, マイクハーフナー' 7129, 悪影響' 19705, 組成' 15554, 瞬' 14153, 医師' 4316, 団子' 10452, 善玉' 11659, 不振' 12813, 分担' 9478, 変身' 5160, 日干し' 21479, カト' 13897, 既報' 4292, ゲンメツ' 20008, 黒松' 14688, 協賛' 5509, 腸閉塞' 9042, ラグジュアリークーペ' 19408, 拒否' 7022, 攻防' 6777, 名指し' 4290, 学園' 8296, vvv' 10256, 足音' 9610, 賊' 4646, 味付け' 2562, ヒロイン' 2720, バント' 4100, fm' 23647, 同紙' 12818, リス' 3267, 激務' 4428, 連休' 14225, ヤバイ' 11512, dual' 17138, 絆' 3848, スキンケアオトコ' 21277, 55' 7623, 革新' 19393, 相当' 4340, 茅' 23206, 内服薬' 9031, 泥' 2825, 全力' 2982, フジサンケイレディス' 13542, 目先' 8398, マンハッタン' 10778, 薩摩' 2613, ボルフスブルク' 5094, デビットカード' 18789, 芸能人' 2955, 役回り' 15817, エソラ' 18851, 露天風呂' 6474, 年生' 1687, うちわ' 11001, 未遂' 22782, 岩村' 202, 境地' 6379, 165' 16312, 放映' 9469, リピーター' 18889, 謝罪' 6092, 明子' 11981, 爪' 9927, 軌道' 2434, 二の腕' 7045, 多め' 1850, 塚原' 9720, 同列' 11315, ロク' 20406, 除外' 16182, 見舞い' 19145, ウェブ' 7006, 信一' 5061, マカ' 23357, キリスト教' 19739, キタコレ' 21292, 活発' 10710, 介' 526, 仙' 189, 438' 22355, こしょう' 19187, ノー' 4054, 落とし主' 19760, ol' 4780, 高血圧' 20880, dynamite' 6874, ギュイーン' 21467, 不純物' 11522, 不老' 8843, ダブルス' 6787, プレーンタイプ' 11673, クールビズ' 15783, 保持' 6547, 岸' 23231, レディーズコミック' 12141, 双方' 9305, 出会い' 1016, テーブルクロス' 21069. 5526, 2000' 660, 屋形船' 23153, 王道' 1179, しみ' 23348, 出品' 20475, ヤツ' 398, 照' 23654, 留美' 14048, 激突' 11969, 参観' 8650, ドラゴンズ' 2690, パーソナル' 12989, 84' 11218, 闘莉' 10395, lite' 9511, バンドエイド' 15857, ブロンド' 16768, 早紀' 13805, 復縁' 7998, がさつ' 17143, off' 16197, 新潮社' 21935, ウェンブリーアリーナ' 21168, 最終' 40, セックス・アンド・ザ・シティ' 13407, シゲルヒショ' 14869, ヴィネッサ・ショウ' 19142, 自宅' 1774, チズル' 18788, 収納' 5392, 遅配' 10552, マイミク' 13755, 計画' 1413, 等級' 20166, インテリ' 9587, ネパール' 6237, 鶴ヶ島' 15282, 読み方' 21320, 如実' 6422, 猜疑' 17622, さくら' 1626, ユーザ' 1485, カンガルー' 14520, 本文' 15112, 戦前' 9313, 女優' 1049, 暴露' 1584, シゲルカチョウホサ' 14887, 正規' 5972, 銀河' 15939, ぃむ' 5295, 快感' 5361, 彰' 23030, 悪意' 13251, 取締役' 3318, コーン' 22879, 危険' 608, 勤勉' 23027, 駒田' 23259, 節目' 6388, 友子' 14961, 38' 931, 乾杯' 11749, 小沢' 6111, 採寸' 12532, 寄生虫' 23164, 昇給' 18396, 緩急' 3476, グダグダ' 4042, 由佳' 4864, しば' 22892, 麻美' 1813, カウント' 7213, 変換' 9019, 青龍' 10320, 左足' 11227, 藤原' 9615, 〇' 22069, 後編' 9544, 悶絶' 15219, テリー' 2556, pain' 21245, シゲルブチョウ' 14864, 必見' 4860, 民主党' 12836, きたん' 18929, teen' 4898, 吉瀬' 4457, 近年' 937, baseball' 2824, 着脱' 19261, 打診' 10314, 表面積' 22990, ヴィトン' 15853, たち' 666, 布団' 3394, 拓郎' 5104, 河本' 9059, 茶目っ気' 11434, 宅地' 23033, 学資' 21778, 日課' 2344, 真正' 21260, メジャーデビュー' 8582, 単刀直入' 7158, ダビド・シルバ' 18079, 奪取' 4276, 検出' 16181, 教職' 14451, 火災' 2558, ベビーブーム' 23036, 由衣' 20117, 佐紀' 11841, 必携' 16590, 揺れ' 16017, 大麻' 15588, 第一人者' 20823, 珍妙' 17524, 死語' 4759, 有様' 9931, レッドカード' 8441, タブー' 9992, 初恋' 14482, 妻子' 18970, 無理' 932, ぴあ' 23603, 難役' 13423, 熱射病' 23585, パレルモ' 10498, 吉川' 2154, 酪農' 20450, 先ごろ' 17137, お供' 9084, タナ' 13358, 殆ど' 22437, 講釈' 11232, group' 23068, プロデューサー' 6879, 落ち着き' 5170, 波紋' 10282, 学校' 1228, 美枝' 21902, 東海' 2267, 派遣' 1893, 耐性' 19698, 配偶' 6399, チュニック' 5377, きれい事' 20962, 千代田' 9131, 描写' 4540, ）. 6615, ラブリー' 5667, 避妊' 5726, 厚み' 13245, 受け身' 1131, イミダゾールジペプチド' 23362, ウォン' 14601, ラルフ' 12028, 最年少' 8413, ユリエ' 7358, dl' 22583, 亀田大' 15180, 品物' 3590, ザイ' 17969, 山里' 8075, ゴールデンゴールズ' 10287, トランプ' 18908, バカ' 279, 上田' 4636, ライチ' 9078, 画面' 458, 粗相' 6089, ようこ' 6297, 狩野' 13108, 心意気' 22692, 可憐' 3967, 涼しげ' 11819, 美術' 12555, セルフタンニング' 13396, 先回り' 5263, ホマキ' 8684, プッ' 18200, おとな' 2106, ナツ' 9761, 絶大' 15522, 堂' 747, ダサイズボン' 304, フルーレ' 22595, 3081806' 22001, 未読' 21726, 位' 2210, 道筋' 20363, 薀蓄' 18072, 原則' 1025, スピードスケートレーシングスーツ' 13044, ベイスターズ' 10755, 草' 4470, シングル' 1932, ブランド・エテュセオム' 21275, 魔法' 8976, マーケットプレイス' 20100, 戦闘' 9234, 息切れ' 19041, 投身' 15494, 土鍋' 21625, ロックオン' 6600, お昼' 2672, ウーマン' 18606, ボディー' 17141, ad' 5278, 市内' 2713, レアメタルリサイクル' 19554, 人通り' 10339, 風吹' 22018, 過渡' 6999, 店頭' 12210, 懸念' 3809, スッゴ' 12415, 自認' 7577, 現金' 9168, 敗者' 11382, 賞賛' 8694, 鬱' 20256, おなか' 8662, エイッ' 4272, midocli' 19120, 北関東' 8883, サンキュー' 4052, 度外' 11928, 熱湯' 1993, そのもの' 3108, ミカ' 7933, マルセル・セルダン' 19146, ナメ' 10813, 班' 19344, てれ' 17187, ぇくたびれますが' 23575, 染谷' 1669, 賢次' 12840, 回し' 18895, ｖｓ' 17346, 明奈' 10989, カギ' 2473, ナ・リーグ' 21876, 出店' 23385, 有名' 860, ポート' 6704, 二の次' 10231, コーティング' 13470, コーチ・' 9415, 780' 14087, 被災' 1969, 当面' 13110, ライブラリー' 18042, 浜松町' 8126, どの' 21856, 達成' 586, がら' 8263, 理' 7080, マイク・ベルナルド' 4217, 助っ人' 19248, 祭り' 990, 出身' 2240, サスペンス' 12281, 幼稚園' 3173, max' 7790, がち' 630, サラリ' 19756, 締結' 20063, オクラ' 3075, 書類作成' 23265, フォー' 15044, 一式' 11606, ウイルス' 2286, パーキンソン' 14833, 期生' 16349, ティファニー' 21760, 大安' 8841, カマプアア' 16076, 同窓生' 16887, 現代新書' 1945, 衣食住' 3343, 共和' 10111, シャーリーズ・セロン' 23017, 構造' 7568, 生菓子' 10068, パフュームマイクロカプセル' 14252, ブランカ・ブラシッチ・' 22084, 稀' 7608, 清武' 72, 了解' 6393, 替え' 11607, 香織' 21954, ワオーンワオーン' 18911, 商談' 7895, 慰留' 2898, weinstein' 16766, シュレット' 6072, 野田' 19484, 下積み' 13009, 序盤' 6899, ペーニャ' 23637, 一打' 6493, 孝治' 22166, リエゾン' 3715, 今期' 16236, 主軸' 13871, 郁子' 20388, ホームタウン' 3689, ブルゾン' 22508, 東京国際映画祭' 23327, 方法' 1147, 笑子' 11064, dena' 2091, reserved' 1330, 1968' 7416, 友' 3156, 曲がり角' 11199, 早大' 16232, 有香子' 23621, 呪縛' 17606, ビリーズ・ブート・キャンプ' 23147, 麒麟' 6870, 初孫' 16977, 節電' 809, ゲッツー' 5984, めちゃめちゃ' 254, ヌジャンカ' 16252, 兼ね合い' 17570, 腸' 2766, 登録' 3182, 火葬' 6527, 恐れ' 6238, 勝負' 3486, アイドル' 2734, 川井' 7720, 生計' 21896, 暑気' 2017, パソコン' 451, 出ろ' 14923, 発行' 3773, おすすめ' 2024, 看護' 2632, コンプレックッス' 16640, 名' 546, 寝顔' 10386, オリジナルファイングッズ' 12245, 執事' 23497, 広尾' 19123, 混合' 7298, オバケ' 21472, 淫行' 16121, 点滴' 9034, 高速' 5294, ダルビッシュ・サイド' 22603, 森末' 5552, 心的' 17614, トー' 9564, 潤滑' 15811, 究極' 9862, 送り先' 14472, 適正' 6215, 江崎グリコ' 23429, うま' 15640, 章一' 19031, 厚' 2931, モザイク' 9358, リーマン' 16583, セリーヌ' 14529, fall' 15465, 盗塁' 15993, カケラ' 1545, acl' 3938, 石榴' 16055, 汗だく' 5315, 日経' 7874, 江藤' 19289, 残念' 155, クォーター' 16673. ！」' 4073, 宏美' 14054, asj' 23191, パラグライ' 17041, アッチ' 16159, カーヌスティゴルフリンクス' 18423, fashiolista' 20076, 無縁' 11157, 順当' 5998, いや' 2665, バックアタック' 12129, 皮算用' 9636, 濫用' 22275, 締' 13796, 育休' 2910, 治安' 10268, スポットライト' 12201, イバラ' 7187, おなじみ' 9082, 利息' 13268, 口' 12173, 度' 1082, 始発駅' 13750, ぐだくだ' 9643, 46' 3317, フォーム' 2529, ジアン' 14593, 筆記用具' 17310, テコ入れ' 2817, 寛容' 9424, 中井' 8223, サガン' 14297, 几帳面' 14192, ファーム' 20805, 企画' 359, 気弱' 15415, フォト' 1618, スコアボード' 4203, 統治' 21742, ハケン' 22415, フェラーリ' 7524, 突っ込み' 11680, 好評' 2998, ゴハン' 704, 従来' 5204, い服' 13085, スイカ' 3063, ジェノア' 9064, 横' 1613, ゲイスターズ' 10760, 留年' 16370, ◯◯」「' 16136, メンソール' 22354, ？「①' 18918, コーナ' 22332, ユウコ' 11149, 修学旅行' 6452, 正史' 18807, 莫大' 14332, 梅雨入り' 12932, 均衡' 13153, カレラ' 9919, 時事通信社' 16497, 24' 2211, サラダ' 7279, 茶道' 16840. ！' 9542, 苦し紛れ' 14556, オフレコ' 14967, ご覧' 6866, うっかり' 7240, best' 14816, 肉類' 9247, 成' 3471, シゲルアツヒメ' 14843, ケイコ' 7899, ちゃり' 4134, ジンバブエ' 13491, 収拾' 11060, 感心' 4559, ダウンロード' 17436, 中澤' 8712, 品性' 1520, talk' 10880, 給水' 9190, ーーーー' 19800, 喪失' 6885, ケンタッキーフライドチキン' 9463, 独得' 9688, ボルトン' 8491, 佳子' 12799, アレックス' 7850, ゴルフ' 6497, 末っ子' 8671, 東京大学' 2784, xmas' 21180, デイリー' 18486, 皮脂' 291, 生乾き' 5566, tic' 21190, メモリ' 18130, トータル' 8104, 江戸' 2590, 両親' 1677, ニア・ヴァルダロス' 21814, ラッチ' 6760, 力士' 9233, ドキ' 8081, 高まり' 17023, マカマカ' 23354, 最短' 13624, 冒険' 4954, 父親' 1658, アグメン' 15288, 脱字' 22509, 1260' 10042, 市販' 1761, 健吾' 22247, 上京' 14084, 杉崎' 14719, ①「' 22336, ロスジェネ' 19471, 法定' 21895, 逆戻り' 20140, kitson' 19652, 額面' 22058, ・ノム' 15774, 還暦' 6200, 一目' 4789, 表参道' 20934, 権利' 7721, 次代' 14321, 清算' 20967, 顔ぶれ' 2699, ボワーン' 11092, 回忌' 11131, 深刻' 1121, 独身' 601, 姫' 2628, 作り' 5308, 本社' 4807, メモリアル' 13950, 泣き虫' 16875, 裸' 5916, 教室' 10574, 員' 1473, レスリング' 517, 明け' 10847, サッチー' 8592, 動脈' 7947, １つ' 4378, run' 22202, haaaaacchi' 20014, 平行棒' 5546, 皆無' 19337, 主人公' 1146, ポテトチップ' 20596, コンディショニング' 7521, 抵触' 18424, 配送' 14630, マリコ' 7011, ビルド' 19134, ザスパ' 3707, 朝日' 16340, 亀井' 4129, 参画' 21988, ありま' 16318, 〜. 12564, 無償' 750, 向' 16129, マッパ' 16035, ボレー' 4375, 寿子' 8170, ヒト' 342, 据置' 15380, コーセー' 13997, 若月' 9310, 重ね' 7281, 抱負' 16359, booch' 19827, 特色' 13285, デビッド・ベッカム' 23418, 食わず嫌い' 12115, 檀家' 11136, bar' 9397, ひったくり' 4927, 雑貨' 4622, 日の丸' 13606, 人ごみ' 22774, ライブ' 6485, ヤロー' 21655, 幹' 6487, 有' 1034, ニセ' 7069, 打ちどころ' 8484, 下駄' 10451, カンパニー' 4591, 貴族' 14167, 温水' 22271, 西が丘' 12121, フェデリカ・ペデグリーニ' 16430, 佳苗' 15440, 永吉' 6181, 石' 4514, チーズ' 9062, マニフェスト' 17245, クーラー' 3071, heaven' 14737, パーセンテージ' 13666, アメリカ' 4019, 耳' 352, 巡業' 18342, 489' 4264, 楢' 18525, 従業' 16067, ハズレ' 18027, セシリオ・サントス' 18758, 要約' 11718, 切抜き' 21936, ジャイアントパンダ' 3214, トースト' 6605, 戦' 2374, 海沿い' 14088, 真上' 15396, 酷暑' 11816, 外傷' 17950, 長期間' 15823, 絶賛' 115, ワロタ' 9450, 余波' 13029, いた事' 14645, 発揮' 2472, ミチコ' 8234, 武豊' 20720, スルメ' 8834, エイボン' 8563, 悠' 18818, 太陽' 12402, トニックウォーター' 19162, メッシー' 12059, ピーマン' 5475, 正月' 14290, 基調' 7034, 家長' 15012, 擁護' 5684, 宮迫' 13446, 屋' 1600, 翌週' 12828, 次' 1311, カタカナ' 3703, 生命' 4629, ゴードン' 10788, 榛名' 4431, 両日' 6512, 大病' 17236, 以後' 2253, 飲み食い' 7491, 妥協' 5912, 流通' 18754, エスカレート' 12679, はま' 8916, 刃' 20394, 文字どおり' 20449, 系統' 4063, 構想' 15622, 景気' 13013, 座敷' 7181, 央子' 23370, 楢葉' 13030, 意気込み' 7826, 身の程' 9704, ソフトボール' 2119, フランダース' 17982, ——. 4631, 巷' 7095, 分間' 5162, ゼンゼン' 20916, スピーディ' 10789, アル' 9316, a' 43, 地上波' 8977, シャビ' 10700, 役割' 1914, 肥満' 4136, 法人' 8278, クソクラエ' 23162, ドラマチック' 777, 縦横無尽' 13559, ホタテ' 15056, あきと' 11631, 台風' 10533, 腹違い' 23531, ナイス' 6908, 256' 23246, いずみ' 2305, 殺伐' 9457, いつお' 2950, ピロートーク' 22680, 場外' 23607, 停電' 1405, 貧血' 17773, アシュレー・ジャッド' 16515, プロット' 11439, バーン' 15258, 逃避' 10158, 満額' 16504, 一つ話' 21327, シフトチェンジ' 22276, イソフラボン' 18313, 高騰' 18115, 強' 8295, 文房具' 6231, 一読' 13955, 人種' 16029, 和久' 3479, もらい泣き' 22114, 売り場' 1111, 通算' 8551, 津津' 12719, アネルカ' 20541, リレー' 5103, 明るみ' 11337, 一文字' 20427, まじ' 15535, 五味' 6919, コストパフォーマンス' 2887, 月謝' 9980, 寝技' 20442, 美津恵' 14693, 飲み物' 2049, ホーム' 2839, 年代' 1542, 通り' 23155, ダイニング' 9406, 幸先' 507, 売れ' 11187, ジャンケン' 9500, 完備' 9502, 健康' 836, おしり' 15560, イデア' 5472, 不純' 18923, ツラ' 21401, わび' 12770, 乗務' 21783, 宇宙' 10958, 一本調子' 5148, 変化' 729, バレンタイン' 464, ％. 9726, 81' 4399, butterfly' 14356, ブザー' 13922, 引き締め' 8936, 水戸' 21028. ＜' 10588, モニター' 2782, ベース' 6201, 渦中' 10874, mix' 10977, 晴れ姿' 22734, 恫喝' 11967, 真奈美' 3379, goo' 11950, 四十路' 11725, 総数' 5844, トーニャ・バービーク' 7626, 給食' 14686. 4563, イギリス' 6806, 賭け' 19282, photrail' 22736, ギューッ' 16315, 江梨' 22192, yahoo' 6533, 兄弟' 12025, 積雪' 10486, ムリムリムリー' 21939, 水泳' 5096, ビシ' 9501, あいあい' 13325, カテゴリー' 9150, ジュリア・シミッチ' 10823, 鳴り物入り' 13538, 色とりどり' 8107, ・マー' 8479, 恨み' 2694, 欠如' 1254, レン' 1148, 江崎' 21689, come' 16524, テクニシャン' 23573, 菅野' 8907, 鼻くそ' 10848, 弾' 4367, メンタルトレーニング' 7531, テレビ' 1455, 殿方' 21126, 食堂' 7265, 号' 188, 差し入れ' 10080, 尊敬' 354, 酎' 19181, 戦隊' 4866, 失恋' 6129, マコト' 17998, 胃痛' 21534, ミラ・クニス' 8025, サリー' 21908, 軟禁' 6752, 半玉' 20591, 極楽' 8953, 主催' 6757, けが' 11829, 日本' 64, 完封' 8914, saeda' 18798, 押収' 15653, 本業' 4616, ボリューム' 11052, 麺類' 9054, 豪語' 11943, 課題' 4026, づきあい' 6542, オリジナルアプリ' 15136, 体育館' 4239, 綿密' 11980, 老眼鏡' 14385, オッズ' 19286, 上下' 14656, 一角' 4177, 察' 3643, 婿養子' 10245, ミニマム' 19790, レオナルド' 14994, 乗用車' 21419, 細川' 12447, 体勢' 12619, おっぱい' 3868, オリジナルグッズ' 16385, ス' 16137, 即決' 17207, 625' 17446, 目標' 3840, メルアド' 19271, シャットアウト' 12263, オジェック' 23364, プラネタリウム' 15904, chain' 21562, 来院' 16644, オープンデパ' 21181, ５' 5340, 書き手' 20485, 連絡' 1007, 自他' 5647, 柏木' 17093, ラベンダー' 11794, オダギリジョー' 21956, 戦略' 5196, マドカ' 4659, 係長' 14873, watch' 154, むつみ' 16098, 監視' 23455, 騎' 17072, 徹' 5176, 高岡' 14702, ヴァネッサ' 8798, ナース' 14739, アルバラデホ' 15480, 転々' 9607, 酵素' 5520, 余暇' 18787, パステルカラー' 5672, 過食' 12521, 精鋭' 22906, ヒミズ' 1661, モテモテ' 5219, 放棄' 17198, usb' 16596, 会社' 939, 斜' 22323, 邪悪' 22506, ゴジ' 20425, 国' 75, 競輪' 9696, 街' 796, 比例' 10365, 小川' 10199, 良美' 808, ブワッ' 21255, 玩具' 9271, n' 10790, ソファー' 10442, 階級' 6901, 成城' 4061, ぱなすように' 16054, グミ' 10059, 克則' 5232, 点取り' 15241, サリ' 6880, 乱麻' 23475, 実社会' 19857, 地民' 16120, 儀礼' 16765, 退散' 5402, 晩婚' 3821, 観客' 1183, 医療' 3279, 恥' 8681, 在学' 16970, 22' 78, グリコ' 10078, リニューアル' 10637, ホップ' 6378, 掲示板' 1488, 前向き' 3046, 管理' 923, スウェット' 22160, 轟々' 13313, ジャガー' 13840, 中学校' 6275, 専属' 3143, 快挙' 8703, 刑務所' 23395, 愛飲' 20423, オリジナリティ' 18958, 躍進' 2515, 法廷' 10903, オススメサイト' 20096, 体型' 4155, 定説' 5258, 一身上' 14637, ディー・エヌ・エー' 10757, ジン' 19193, あたり' 2053, ちんぷんかんぷん' 15314, 活用' 880, 予選' 63, 不確か' 10772, 心構え' 5966, ごま塩' 11071, 体協' 16789, ロス' 5849, リンゴ' 11627, 八戸' 10564, 投票' 10628, 反対' 7073, 真弓' 246, 米ぬか' 19374, カバー' 7010, 涼介' 21324, 彬' 22257, ar' 18086, アル・アハリ' 13821, 中継' 4277, 安太郎' 12202, news' 3048, 形跡' 14973, プロフィール' 2423, 人間味' 15602, 太郎' 16329, 俊敏' 7461. ）」「' 18595, 快走' 2722, 通院' 3403, 洗い' 8561, ipod' 10956, 菜園' 12097, ウインド' 15324, 体感' 5328, 美加' 9196, 御飯' 4396, 綿' 17938, 航海' 18864, オマエ' 11963, らん' 20648, モンローハリウッドスター' 22221, お菓子' 7203, 水彩' 10156, cerezo' 17295, 人文字' 11462, 青み' 22872, 目印' 15829, スポルト' 20687, 三つ' 9897, 本場' 10821, アシ' 21514, キッズモデル' 17182, 由貴' 23295, 相反' 9625, sh' 11482, 眉間' 9769, お伝え' 7192, 枕' 7052, 二日酔い' 16880, 死因' 4232, マッチョ' 15163, ギリギリ' 1275, オリジナルカクテルメニュー' 21118, おい' 23180, 本人' 1567, atnd' 18623, ダービーマッチ' 6027, メイキング' 10839, 球団' 2122, 前列' 20945, 金成' 15359, 体験' 1795, 誹謗' 6073, 冠' 7718, 体液' 12723, 康' 513, 横綱' 12586, 失点' 2361, 合わせ' 8446, 再起' 1486, 生身' 19276, スノーボードハーフパイプ' 19413, そばかす' 18708, レヴァークーゼン' 20342, イーブン' 12052, 実戦' 3750, 吉田' 521, 尚' 3464, 大倉' 23659, モテアプリ' 22837, 神隠し' 4671, 宮内' 20264, 嗜好' 8015, 観衆' 16012, 演' 20460, 設定' 2080, 周子' 22113, 体力' 2060, あさみ' 5506, 戸塚' 10274, びき' 12671, お笑い' 1637, ビタミン' 9253, 眞子' 17903, ホテル' 1377, しびれ' 20198, モテツイート' 20624, 女流' 15332, 松竹' 10715, 切り替え' 9549, フロンターレ' 6848, ナルミ' 13448, 転機' 2425, バーベル' 15749, ブログチーム' 20082, 受験' 9499, 早苗' 6414, ビアガーデン' 18345, 294' 22588, 一体' 686, 重き' 12356, 意気揚々' 9977, オーバーヘッドシュート' 13583, バルサ' 10706, 盛りだくさん' 5332, 和製' 10729, 禁煙' 10076, 茶柱' 21805, バカンス' 21847, 悪戦苦闘' 14273, 菅原' 16344, 関節' 5057, 10000' 2252, パチンコ' 6428, ごい' 17054, うたかた' 21215, 賛同' 7462, みね子' 10046, ｇｂ' 5351, 仲違い' 17158, 拠点' 9331, world' 17195, 毎回' 5523, 小久保' 3487, 開拓' 15648, 両手' 259, 修' 1585, ボレロ' 13395, 語感' 19424, 芯' 14421, がい' 3288, 酸性' 22448, セル' 6486, ズボラ' 9199, 着席' 21517, ゃいけなくなっちゃう' 18205, プレシーズン' 21101, 強固' 13864, トップ' 3434, 故障' 7517, ササッ' 6993, ミント' 2032, 帆' 16398, しどころ' 19492, photo' 1335, 墓参り' 11141, dondokodon' 15237, カペラ' 15910, 須' 3931, 1961' 2704, サイズ' 4740, たいこ' 9986, ボローニャ' 15002, 横柄' 7889, 吉報' 15486, 保育園' 2934, 山積み' 18927, 鮮やか' 3974, 解毒' 21211, 陽' 7766, チームエジソン' 22847, 菜' 5321, トンビ' 19512, 欝' 20620, 股' 3896, 知力' 12914, cookpad' 19192, 交友' 5815, 工作' 650, 申込' 9156, 柄物' 6992, 共' 1043, 事故' 6855, 叶' 18142, 慎二' 5553, エロティック' 3992, 知能' 23136, 満足' 1532, 上玉' 21526, 千晶' 2678, 指' 149, ホールディングス' 10762, 曜日' 12636, いっとき' 14070, ズームイン' 21265, php' 17909, ナンバーワン' 12227, 竜' 2089, ブレイク・ライヴリー' 11431, この間' 684, 座薬' 13555, 里奈' 2991, スペイン' 6016, たい' 3962, 死去' 4226, 非公式' 17949, 料理' 331, だんまり' 10022, 通り' 2152, オールド・トラッフォード' 9280, 友情' 5819, ナックル' 99, サラッ' 16210. （' 16819, クロスファイヤー' 11572, 乗客' 22645, wakkiii' 23178, 勘定' 12847, 奈美' 20873, オークション' 13614, 唇' 4313, 分別' 19361, 担任' 7370, 放送' 49, 労働' 8807, 本年' 6306, npo' 5395, 手羽' 19200, アタック' 7068, topics' 17345, 中年' 7982, パク' 10991, 苦笑' 1117, マイペース' 9207, 8000' 13637, 不履行' 9476, リプ' 16271, 磐田' 14005, 怪談' 5360, 街道' 7012, お出かけ' 5325, 丸の内' 22885, エフピーウーマン' 3358. 」' 13064, 荒廃' 14265, すばる' 15934, ズトン' 12304, 山倉' 15606, ハドソン' 18235, 鉄子' 23367, 弱点' 14766, トッピング' 7259, 杉' 19275, 攻' 462, ツワモノ' 11666, 中流' 23291, アッコ' 1563, ジューシー' 17032, かな' 13992, バレエ' 10151, 鎧' 23359, 増し' 5158, 286' 20724, メイクアップアーティスト' 19651, 評決' 10916, ６' 2026, ノルディー・マナカネ' 19415, アンパン' 18266, しよう' 12721, 演歌' 6203, ♪」' 565, 不穏' 2511, 天性' 7062, merry' 21182, 序の口' 11916, 同年代' 6141, アボガド' 19172, 4546' 11898, かなり' 2669, シードル' 11758, 盛ん' 5790, カリウム' 3116, 稲荷' 21585, ミヤネ' 8247, 外貨' 14199, 毎度' 23158, 材料' 1980, 癒' 8612, 顔' 2633, 千賀子' 18655, 箱' 1747, パルメザンチーズ' 9063, 割り増し' 19817, 自国' 10819, 液体' 14247, アイ' 8055, アホ' 7136, 沖' 4244, キネマ旬報' 18103, がかり' 14097, 板谷' 22169, 沐浴' 19338, 久志' 4189, 儀式' 6506, 妙齢' 12549, 全国ネット' 19916, リバプール' 10260, 寸法' 9935, 種類' 337, あかり' 11293, early' 16521, デコレート' 5646, ゴールデンイーグルス' 5306, 信ぴょう' 9278, 復帰' 2941, 程度' 587, タイガーズ' 22441, 服用' 12685, スタン' 7840, 台場' 6769, スポーティ' 22779, セフレ' 11634, モイスチュアジェル・プロテオグリカン' 5776, アイロン' 17735, オススメ' 707, 内田' 8457, 掛け声' 22684, サンデージャポン' 16045, 半端' 13580, アーム' 22282, 明太' 21237, ウインク' 5275, 富司' 23185, 臭' 11905, 定休' 5369, アジャスト' 5524, 草間' 16307, 厨房' 7736, フェードボール' 21410, 激' 9748, バレーボーラー' 18966, 伊豆' 22713, トレンダーズ' 11662, 道子' 9628, ミヤコ' 18976, 姪' 6131, 郁' 13654, にこやか' 8529, 勝男' 8868, ばり' 3011, 人力' 22846, 文書' 3164, 夕' 6846, 住友' 12493, 東都' 2418, 水たまり' 19528, 電源' 849, 裸身' 10615, プレミアムアウトレット' 5952, 鋭さ' 17233, st' 14577, 久保' 13411, 屈指' 15100, 思考' 10026, 戦力' 8635, こなし' 15735, 熱唱' 18577, 引越し' 3018, ウネウネ' 9617, ナベ' 7074, アザレンカ' 10167, 定価' 16187, 歌唱' 15519, インターン' 20104, 言いがかり' 2889, バジルソース' 19214, 霊' 4528, ラテン' 18730, ブス' 4131, おっくう' 19045, クレーム' 1386, —' 19033. 」' 3477, 日生' 19351, 破綻' 2302, 高岳' 13169, 相川' 16634, 西武ライオンズ' 3480, 巧み' 7040, 売れ残り' 21995, オペ' 12982, 夕飯' 3157, 協力' 3790, ミッション' 8564, 屈' 16570, インター' 11368, 南天' 8116, 径' 22773, 三助' 6121, エスプリーク' 13987, mp' 16611, ショッピング' 5959, かっぱ' 11062, げんき' 4672, とおる' 21582, 勧め' 3806, ｄｅｎａ' 13602, アリアニー' 22485, 十文字' 17650, ベラルーシ' 10174, 毒' 11914, テキ' 9576, sns' 9966, オピニオン' 2829, 非常識' 3557, 箇所' 594, 対談' 2406, 報知' 14063, ブレスレット' 21865, 豊永' 20400, シルク' 13242, カジュアル' 3616, 保存' 8850, 童貞' 13406, 疑問' 946, レジャー' 989, 暗黙' 10067, jaha' 3225, ピタピタ' 10584, 坐薬' 17777, エージェント' 19009, 是非' 3700, レクチャー' 20012, 佳江' 8338, 急' 727, 弁解' 7061, せんぷ' 12678. ●' 14409, 美緒' 22950, 軽率' 7131, 霹靂' 7148, なぎさ' 9494, バイエルン' 10842, 農場' 6234, 一朗' 2870, 缶詰' 11910, 下がり' 1014, パサー' 12264, 宛て' 10436, 聡明' 19299, アップロード' 10286, 城島' 12088, 出世' 15754, グループパブリッシング' 4921, 四球' 5529, 親書' 19463, ホームラーーーン' 22720, トリ' 8465, 細胞' 9246, 持久走' 21398, 変わり目' 11609, 寿命' 7522, ヒロエ' 12821, 良性' 21075, エクステ' 20001, ご存じ' 2143, ビン' 13269, 実験' 13125, トーン' 4132, 聖堂' 9337, 松尾' 11849, 宏幸' 14448, 専用' 568. •' 8845, 肌色' 13226, クルト' 18354, 掌握' 18505, 凝縮' 13959, スキャンダル' 8244, キープ' 795, あい' 249, 大震災' 797, ぶつ' 12672, ゴールデンタイム' 20252, ｆｉｆａ' 22695, ジャブ' 6918, 小織' 7937, 転換' 804, 号泣' 7557, 逃げ道' 950, 御殿' 16241, 閃光' 3976, サポート' 1878, ソーセージ' 17668, ビューディーポリス' 11068, 案件' 9854, ミリ' 16874, 怪文書' 8734, お母さま' 22565, マグカップ' 16273, ob' 15482, トッポギ' 15525, 週' 3180, ビジネスパーソン' 23169, 名波' 12200, 羽田' 20311, 不用' 13622, 在宅' 3184, 痺れ' 13568, シフォン' 18491, 寒心' 3496, 無' 15797, 酒' 1639, 1380' 11205, スペース' 5411, 上体' 22173, 連れ' 14910, マドレーヌ' 9757, 脱水' 9024, インターネット' 3129, 地震' 4256, 着替え' 23112, 相談' 277, カラフル' 5467, 日間' 6208, ｍｌｂ' 21294, 篭絡' 17320, 新生' 16943, 照れ隠し' 22708, プレイエリア' 23468, ソフトクリーム' 5937, 至福' 9951, 藤井' 4072, 009' 14495, 医' 1933, 食べもの' 15683, 短気' 8591, 引き出物' 18198, ドミ' 17311, 弊害' 13781, アーロン' 7739, 幕下' 23572, 大人げ' 3849, 緩やか' 17405, レイクウッズガーデン' 3270, 立役者' 9622, ピクシー' 4364, テクノロジー' 10408, 定期' 5000, 滑稽' 10228, 宝塚' 16361, 嘱望' 2278, productions' 15742, 粘土' 21092, ③' 18925, デコルテ' 19021, 勝者' 21732, ギブアップ' 19334, 手弁当' 15697, ブライアンオーサーコーチ' 14586, 速報' 3740, シジミ' 11530, 白鳥' 4425, sv' 20726, カスピ海' 12738, クラシエフーズ' 19611, 金本' 2809. ■' 23134, ミキティ' 20211, ドコモ' 16610, twentieth' 1073, ソフトウェア' 19859, 206' 11560, シーク' 12211, 仲間' 941, うんちく' 19063, 梅雨' 5338, トゲ' 21607, 確定' 3188, アブドーラ・ザ・ブッチャー' 17431, コラーゲンドリンク' 11550, セキュリティ' 15392, 目隠し' 6750, 祭典' 16655, メイン' 148, レンジャーズ' 13652, 見舞' 22863, 地縁' 16917, キャラクター' 2394, 単' 20289, コンフェデ' 17922, マイアミ' 22186, セルティック' 16567, 群像' 23536, バスターマシン' 16980, 嵐' 4484, 追尾' 6617, フミエ' 7309, 畜電' 22848, 参照' 17599, カニ' 15028, セーラー' 21905, 金森' 5217, pop' 10972, 不運' 4905, カナコ' 11209, 業界' 120, 月光' 14968, 湘南' 16633, レアメタル' 19571, 一回り' 4711, 14' 69, サロン' 3310, セルフ' 8951, 西門' 23076, いぶ' 8379, 銀メダル' 5114, 濃度' 8288, 破たん' 12864, 指向' 15644, 新庄' 5224, ジロー' 21007, アラサーアイドル' 14270, ローキック' 4206, 万能' 17669, ユーリー' 16030, 午前' 1057, 寅' 9107, 毛筆' 7025, ふさこ' 12132, ランタノイド' 19540, 漱石' 4419, 舫以' 18688, 片付け' 6244, 深津' 22019, ケンカ' 5302, 殺戮' 6685, 三塁打' 21603, 没交渉' 14989, エレーヌ' 7348, 私立' 7297, venlo' 13688, パネル' 84, テレ朝' 19917, 優勝' 2359, 薄毛' 20750, ニトリ' 18453, ベガルタ' 6854, 県庁' 3706, バー' 3554, dhc' 9166, ポジティブシンキング' 18614, 長袖' 13392, ライ' 3966, 綺麗' 4820, 嫌味' 4124, ルーシー' 10309, 雑草' 8351, エルメス' 21773, ユニセフ' 5077, 敵' 2227, 後方' 22262, 陰毛' 591, ぐりぐらぐりぐら' 10155, 尻軽' 11325, 小心' 16041, 同日' 537, 伊達' 14456, ズ' 11716, 辛抱' 21754, 通報' 14304, かこ' 22095, ホープ' 21335, 常盤薬品工業' 11554, ラブコール' 21406, 挿入' 10357, ユース' 7614, キュンシーン' 7554, 腐敗' 21725, スイス' 12999, 鶏' 5499, リーディング' 1539, 片隅' 14036. 」' 4808, 講道館' 22522, スレ' 4532, メルセデスベンツ' 19404, 限界' 7038, モンゴル' 18410, 負け星' 19976, バッター' 2373, ハリウッド' 9449, アカリ' 18999, っぷり' 6009, リゾート' 960, 軌跡' 6937, 168' 12419, 主夫' 11257, マミ' 19910, ヘディングシュート' 6722, 週刊' 6095, 限度' 8739, 勝敗' 8353, プログラム' 4056, 路地' 10457. 』' 20730, レアル' 23560, 得意気' 16399, しなやか' 8322, ケイト' 6676, 聖夜' 11750, ozawa' 15010, ざる' 22928, ブラド・チャガエフ' 16260, 君臨' 4220, speedo' 22622, ファイン' 12247, イケ' 6417, 正直' 1110, タピオカ' 15036, マゼラン' 12736, 紀文食品' 21990, bgm' 13405, 毎' 4013, 馬術' 8341, クラッカー' 19195, 節操' 18739, イロモノ' 6381, jins' 20384, 33' 1299, 老舗' 9173, ヴィトー・ベウフォート' 14129, 沈静' 15308, エレーナ・イシンバエワ' 22086, スマ' 6437, 誘惑' 6070, 産出' 12963, ヤラ' 8999, 著者' 3859, 振り込み' 20437, 米本' 14001, 命名' 12079, 保養' 5327, 大好き' 345, 徳井' 15605, right' 1336, 4' 1199, サプライズ' 3599, フリスクオレンジミント' 19608, くも' 22341, 今春' 2740, morning' 16512, 滑走' 19466, 等々' 19759, ランチタイム' 2658, リーグ' 112, 小回り' 10330, 飲料' 1888, 47' 10441, 人' 60, 怪' 20465, バラエティ' 1583, ドヤ' 13439, 適温' 18170, トロッ' 19185, 防護' 18709, 北別府' 19921, 溜息' 19749, 福音館書店' 10134, 風水' 21711, ナゴヤ' 3508, 値段' 903, 使い勝手' 14521, 百' 2074, 種目' 4842, ゴコロ' 7315, 手がかり' 18465, 購入' 1838, マグワイ' 12345, 無数' 7540, 補強' 174, パーカー' 11427, 漕艇' 20043, 紹介' 177, 堺' 9547, バーチカルタイプ' 16543, 人組' 7706, 重詰' 21984, 教徒' 22308, 柚' 14031, 目減り' 21272, 怪訝' 7060, 校長' 18826, ｇ１' 16345, ラブ・ダイアリーズ' 16560, 厳密' 20290, 香苗' 2654, 放射' 18301, パス' 4855, 日体大' 16134, 悲喜' 1883, エイミー・ブレネマン' 21046, かけがえ' 1967, 発症' 7973, 良縁' 6047, 平岡' 15394, 母さん' 12893, 炯子' 14400, パンスト' 21431, 時速' 20550, クラス' 7371, 妖艶' 10833, 文庫本' 16605, 篇' 4570, けなげ' 15266, 小' 3658, comi' 15889, 語尾' 17823, 回収' 12975, ｗｗｗｗｗｗｗｗｗｗｗ' 19793, 条件' 2435, ロリコン' 11691, チック' 23103, ！. 9621, 起' 22245, 搬入' 15483, 末期' 4418, コミッション' 17089, 消防庁' 19362, プレイグラウンド' 17011, 小脇' 11564, 化' 1431, 197' 16852, 克典' 13016, 原因' 1979, 入居' 19871, 満載' 1655, 騒動' 2149, モテテク' 3875, カープ' 2094, 善意' 14463, 建築' 9899, 惠' 4853, 西' 1403, 店' 1625, 企業' 798, カミングズ' 13161, 天幕' 9114, ワークス' 12702, 陣' 3638, 際限' 21116, ちっぽけ' 11143, 書店' 6113, 記事' 695, オフィシャル' 11702, ケンヤ' 12058, スペランツァ' 3017, 言葉少な' 21919, コッチ' 16157. 20577, 025' 23072, チャンプ' 16904, 幾度' 8450, 南アフリカ' 3029, めまい' 2272, スポンサード' 20038, 内定' 2283, 外観' 19896, 城所' 12279, ちゃーん' 22992, そこそこ' 13721, 3900' 17270, 指南' 4900, 連載' 1698, フモフモコラム' 2981, 座席' 8215, sanspo' 19253, 雄大' 19522, 隔たり' 8220. ？」「' 15706, ラモス' 130, キムタク' 11404, 千原' 22369, ウッディ' 19086, ヒップ' 6362, げた' 11888, 邪険' 21326, 古今' 18040, 188' 18563, 花王' 12969, ドレッサー' 11601, ピアース' 23415, ｇi' 14861, 低迷' 2815, 筆頭' 3972, ジェーン' 17313, 1050' 8166, デュレックス' 11638, 杯' 3026, 独り者' 16475, 西川' 8960, 機会' 649, 黒ずみ' 19124, 正英' 20265, クエスト' 18458, 向かい' 21482, 宝' 6811, 細分' 16642, 絶好' 12622, 産褥' 14622, ピューン' 14147, トッティ' 23394, 肩幅' 21279, ベトナム' 6720, 打点' 5687, gk' 6032, キャッチフレーズ' 4417, ディフェンス' 12199, 亀梨' 16953, 江川' 5618, オン' 13941, 6000' 8619, クリック' 13616, けん責' 16008, わがまま' 8261, クモの巣' 22259, 07' 9840, fa' 8255, apfn' 9262, 孫' 3834, 練習' 1200, 新規' 8071, ディティール' 18477, 甘酒' 12562, 佳奈' 14347, 痛烈' 13601, ピンク色' 5656, 駄目' 5214, 鳥居' 3656, ヒデ' 19781, まち' 15291, 箱入り' 10473, 通じ' 9052, バロンドール' 8701, 大塚製薬' 9255, バード' 18603, テーパリット・ゴーキャットジム' 17503, アクセサリー' 4521, 申し出' 18199, 転化' 23070, 加茂' 20035, 週末' 985, 一' 18431, 怨念' 22283, クラミジア' 3771, オツ' 10188, ぃむしちゅ' 22929, 取り合い' 17429, 願い' 8151, ガールフレンド' 13140, 相撲' 5538, 自意識' 3869, 不条理' 18481, レグ' 14572, よけい' 18108, 謹慎' 19254, 小鼻' 13225, 掛け軸' 20999, 老廃' 3081, 講師' 2464, ローランサン' 15164, ミット' 16616, 疎遠' 5797, ひとくち' 9248, 155' 9005, 当て字' 17522, 京子' 12139, シチュエーション' 288, 三陸' 4245, 演説' 20481, 浮上' 11148, とふく' 20127, 流動的' 21859, けじめ' 16955, トレーディング' 21207, 美肌' 8186, 終末' 16272, コーチ' 3945, 東映' 12454, 叢' 11649, 1899' 23478. ″' 7719, 舟歌' 7912, 凸凹' 9926, 衝撃' 1353, イタリアンクリスピー' 15033, ライブドアブロガー' 8550, フロリダ' 21786, シンガポール' 20316, 物' 239, 双璧' 10830, ぁ' 15420, マサト' 20961, ゴロ' 4192, 電化' 17191, 土曜' 12644, チラ' 7046, グ' 7914, ツーシーム' 16796, 重圧' 12261, ネクストジェネレーション' 16391, 蛯原' 10010, 逃亡' 22781, ミッチ' 19035, 扱い' 3466, アク' 22284, ビビッ' 15747, 名前呼び' 9553, ツネ' 17275, vfl' 12486, little' 17318, 世代' 958, 事項' 16761, 今' 57, 頑張り' 6622, ネェゲーランキング' 8961, 無用' 1291, 出来' 6718, アデリーナ・ソトニコワ' 12895, 40' 1958, びっくり' 1318, 正座' 18581, オフィシャルサポーター' 9315, 187' 9749, アニキ' 8480, 純愛' 7347, 不安定' 121, 弁' 8303, 公害' 21159, 杵柄' 6196, 策定' 23521, チャンピオンズ' 3941, フェルナンデス' 14161, リ' 5551, 文乃' 12252, 集客' 15319, 大声' 281, モノ' 282, アラサーコンビ' 11193, エステ' 468, とっさ' 12399, ソーシャルネットワーク' 12384, 重荷' 7304, 洋式' 6093, ローガン・スタントン' 22480, 見栄' 5826, 審査' 6096, フルート' 15412, サンダル' 10015, 上野' 2088, ルビー' 13087, ニコライ' 12518, アメコミ' 11438, ボルシア・ドルトムント' 14582, エロカワ' 3890, 川奈' 22016, comic' 12566, ソナタ' 22301, 機材' 20317, キンカン' 5503, お話' 1731, ディッシュ' 17678, 口論' 16528, エビデンス' 23363, 深堀' 16531, 毛抜き' 671, 賢明' 7697, 観測' 14114, double' 16806, 主役' 10594, バーレーン' 1, タコ' 15228, 戦利' 16193, パラノイド' 8024, 公認' 9483, 類書' 8002, グァバ' 15080, エストニア' 18500, 移動' 1604, まい進' 11838, 俊哉' 13861, 説明' 2225, キャップ' 6240, 常々' 14584, 合間' 14925, フェロモン' 7064, 否' 1269, bros' 18531, 訓子' 11272, 素直' 2181, 主婦' 2938, 幸福' 6122, 一雄' 18417, ツバメ' 11527, 電機' 8653, モノローグ' 14073, 見栄え' 19113, 勝率' 4106, 正洋' 19319, 液' 1804, 整腸剤' 1783, 入選' 3349, 毎晩' 7331, 不二子' 20966, 流産' 2960, 倍' 4170, 去年' 0, 瑠都' 18498, レンタル' 8829, 松本' 2136, 体温' 3051, あらあら' 7396, 宅急便' 4668, 幸男' 17553, ニア・ヴェルダロス' 21812, 智恵' 13533, 大嶽' 12583, カムジャタン' 15523, イメチェン' 17479, ゴジラ' 18306, 腿' 15563, 判' 20242, u' 16, 走り幅跳び' 19803, 歳' 382, ハニーボイス' 2209, テント' 9115, 専念' 2548, 参加' 997, あさり' 5485, スザンヌ' 9411, サーブ' 9753, 控え目' 140, 画期的' 13292, 冬美' 7923, 妊婦' 2957, ベロチュー' 16944, 怪しげ' 19722, sk' 14483, 政義' 9740, ロビンズクラブ' 20502, 黒' 2804, 無残' 23098, 見覚え' 16320, ミユキ' 19752, ブルズ' 23410, 細やか' 11798, 通常' 1891, 1500' 9194, ウシダ' 17853, すずらん' 18994, 通告' 16141, 分泌' 898, メニュー' 8177, 打合せ' 9590, 鳴り物' 9312, 手入れ' 667, 前髪' 406, チク' 6050, 賢' 18665, マユ' 9530, key' 21576, ウーロン茶' 9076, ニート' 9870, 中位' 23397, イースト' 19886, 教え子' 5215, スピリチュアルタロット' 21707, 幸彦' 14264, 外国' 781, 協調' 9858, オナラ' 9060, オールドミス' 4765, ちまちま' 14075, ポンサクレック・ウォンジョンカム' 7753, 三省堂' 9472, ソール' 17862, ダン' 10359, 談話' 5307, 踊り' 8039, 天の川' 14107, 祭日' 16751, 名刺' 6310, テアフラビン' 1994, ギャラクシー' 23416, 到来' 4722, 各自' 7270, トルメキア' 4676, ランナーズ' 11575, 中部' 13384, ドクター' 6822, ロケット' 17945, 中目黒' 22852, 鈴子' 17588, グン' 13890, ダンシャリアン' 21714, 楔' 21214, サマータイム' 13472, ジョッキー' 1534, 個人' 609, 素敵' 835, 73' 509, 機関' 6688, 明石家' 2848, 上梓' 10921, 魂' 8426, 同門' 12593, ゲームセンター' 12889, 剛士' 2914, ダース・ベイダー' 14186, ハー' 4394, 学年' 17466, 美佳' 13919, シン' 10608, 終焉' 17866, 人志' 17052, ル・フラッシング・マジック' 3978, baseballgame' 13936, 一興' 21290, 気長' 15778, 青田買い' 22226, 予言' 16235, チャンピオン' 7764, 脚' 1822, 能力' 745, コベントリー' 21857, 柳本' 9746, バンコク' 22103, 里' 3261, 無邪気' 3265, 出来事' 4281, 優柔不断' 7881, シンパシー' 8222, 賛辞' 13112, 殺到' 4338, 枕' 13757, 不満' 2884, イブニング' 13422, ひよこ' 8156, アディダス・パフォーマンスセンター' 7146, 自負' 10099, 春日部' 9198, アイドリング' 11005, 同い年' 3668, 斉唱' 17500, ラブストーリー' 11435, 力投' 16896, アボカド' 2876, 弁明' 11024, きなこ' 17892, かって' 18607, ヘルシー' 8927, ジーンズ' 13126, 蔓' 3073, げんか' 22952, 愛好' 11039, 口外' 21347, 物わかり' 7299, 6940' 23484, ジュニアフライ' 23615, 鍋物' 7926, タイム' 3208, 利子' 17451, 選別' 19594, グッタリ' 4899, 入れ' 21721, 転勤' 7300, エイジレス' 8515, ネイマール' 16724, もみ' 7456, 出場' 54, 黒沢' 18320, 簡潔' 14230, 多感' 18884, 改札' 7295, 事柄' 16830, 前回' 4194, 唯' 17538, 遠出' 5967, ベランダ' 9929, トス' 13366, カエ' 9599, ウエブカメラ' 19713, 鑑定' 2447, 丈夫' 8122, 下垂' 16018, 正子' 9629, 素性' 1595, 潜在' 7948, 公平' 8064, 恒' 13944, モモコ' 16471, 帳' 4144, パティンソン' 19726, 酒気' 8831, 艦' 11880, 多彩' 15335, エトセトラ' 14623, キリコ' 11292, 舟' 12278, 二人三脚' 6590, 白髪' 6182. ◆' 19671, まつげ' 21964, 偉業' 16027, 春巻き' 19186, 升' 21349, 種田' 20969, ノヴァーラ' 16988, bradpenny' 22052, ソトニコワ' 12901, クサ' 11935, エラ' 20248, タクミ' 10601, 認知' 9244. 「' 21152, 気乗り' 4687, 人出' 21321, ゴッド' 8938, シアトル' 4182, ナンパ' 1013, データ' 549, ヨガ' 6160, ドライブ' 5979, 17' 552, 受け' 11608, ロハス' 9582, 彦' 5268, 出馬' 13496, 龍神' 11361, ゴースト' 23023, ゴミ' 2342, ホ' 8397, 酸素' 8543, 税' 9831, 不平' 3400, 地場' 6464, 世話焼き' 18367, 各校' 18225, スキー' 11176, なっちゃん' 17454, ームネリン' 22372, パパ' 6772, ちょんまげ' 9219, パウル' 15235, 奉行' 20354, 心地' 806, プライパン' 19180, 平謝り' 9419, 占領' 9604, 井戸端' 15802, 首脳' 10811, 合意' 13106, jgp' 12508, 軽減' 2002, ギター' 6172, クローザー' 9288, 柔道' 2543, 昆' 2265, 沢村' 8419, 低温' 11535, 司書' 4615, 聖女' 3911, 潤一' 15899, 戦線' 4851, iphone' 5175, キッズ' 10572, 整' 22136, フラッシュ' 14254, 不注意' 23515, グサリ' 23021, コーベット' 21818, クロワッサン' 9788, pacs' 19813, 小径' 3250, 稔彦' 19230, グルメ' 5301, 産み' 10296, 速水' 17882, 共学' 21596, 効用' 18583, ムジナ' 7404, 代行' 15376, オーナー' 5221, 北海道' 1040, 遠吠え' 14166, 戦い' 2617, 泣' 3680, タメ' 10198, 戦々恐々' 13522, お天気' 22785, イエロー' 8455, さと' 11265, 素朴' 6061, 両家' 8899, 和弥' 16367, ネクタイ' 5645, 砂' 12364, 和洋' 2046, ターメル・スレッジ' 23449, カリ' 14642, 口止め' 1280, 千代子' 22962, カレシ' 6123, ｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗ' 19797, 頑' 4786, 讃岐' 23013, ボイル' 22640, 抑圧' 9995, 韓' 7218, 公言' 5811, デン' 18589, 手口' 20562, archives' 6957, 注' 16071, 散水' 23514, 東電' 13065, 否認' 15586, 加味' 20105, 影響' 247. 1127, 人口' 1030, 財産' 8672, 亜希' 11902, 捲土重来' 15108, ウディ・アレン' 16470, 磐石' 15491, ぇんじゃね' 22207, 朝日放送' 18337, よ' 23287, ムラカミ' 4709, 農芸' 15085, キリンチャレンジカップ' 17825, リピート' 17370, 白菜' 12096, 仇' 22560, ままごと' 11262, アワビ' 8865, 罪悪' 4893, 香港' 17173, cardy' 12710, 蒸発' 5761, 税込み' 8175, 隼人' 7997, オマーン' 12188, ノーコメント' 14007, 出番' 885, 卵焼き' 21235, メッシ' 6553, テキーラ' 17855, グラウンダー' 21331, ！！——' 20093, 甫' 14703, 頑固' 13017, 決定的' 8633, 道連れ' 10326, jpfa' 21036, デニーロ' 17462, 親心' 16910, 驚嘆' 12475, ユキヒロ' 17997, バレ' 21428, バージョンアップ' 10629, マスゲーム' 11461, スクラッチカード' 21179, 槇原' 14765, 福' 15116, ブライダル' 3772, 茶番' 22403, 小中' 19324, 暴投' 15503, オトリ' 21616, 国勢調査' 14805, 泳ぎ' 12255, いいわけ' 17505, 基盤' 13008, 根性' 3932, 南国' 23243, ドンデン' 22310, 導火' 17005, 原料' 5750, 安志' 8762, 迫力' 7928, ブ' 9300, 余白' 19486, チアキ' 21759, 同体' 19335, 入間' 5950, arte' 9363, 活字' 22322, 船乗り' 17301, 肉眼' 21148, 会' 397, dekyo' 20558, なんぼ' 4823, 慰謝' 2213, チラシ' 13884, 琢朗' 19926, 短縮' 895, 転売' 21774, studios' 18943, 明瞭' 5165, 現状' 1468, 転生' 19741, まし' 9843, ウチラ' 16572, 融合' 15645, gp' 4023, nishikori' 16495, 英利' 6264, ソッコー' 11507, 自体' 1059, バレー' 6792, 得意' 2428, 相手' 632, 反動' 10718, 申し入れ' 8838, フジモト' 21757, アゼルバイジャン' 9489, ビュッフェ' 18162, サマ' 9109, 名古屋' 4353, 高徳' 12958, ジャンヌ・ダルク' 13564, 天皇' 10277, ミズノ' 5878, 要件' 13756, 飢餓' 3321, 一転' 100, 買い出し' 10084, flashing' 3975, 高温' 11551, 意味合い' 9872, 闘争' 22805, 天才' 1222, 新天地' 15103, ユカリ' 15850, 福島' 6236, インフィールドフライ' 22593, 会館' 17499, ３3' 12064, 車検' 19323, ——』' 13152, エッセイ' 3351, 秋物' 21430, ナショナル' 13719, trying' 5715, 独り' 5530, 不妊' 3815, 遊術' 19502, マニアック' 14355, せり' 8162, 用件' 10435, 資質' 7126, ひさし' 20551, ミサキ' 1841, 素' 6925, 敬語' 11204, ドタキャン' 3519, 自社' 5477, アッサム' 14931, 地続き' 16440, ブレイク' 5745, pampa' 15725, 手鏡' 5483, 痔瘻' 17765, 渦' 7735, 昆虫' 17352, 病棟' 4442, 何処' 13020, 腑' 10758, ツール' 5149, 勇者' 15411, クール' 1722, 塚本' 22230, 年頃' 9573, 牽制' 6653, 同国' 15626, ファイナル' 4025, 下劣' 9652, ヘルニア' 15752. 【' 14431, 監督' 221, 貸し借り' 11467, 未知数' 7788, 習い' 9985, 芝居' 7440, 臆面' 12343, 小泉' 3633, inunokimochi' 22630, 辞表' 18383, 上機嫌' 3747, 電通' 9144, 幼なじみ' 12108, インターハイ' 11850, キャバクラ' 6416, チェン・ウェイン' 17566, 採集' 17338, タツヤ・カワゴエ' 18401, 最高裁' 12862, アスレチックスファン' 9290, こだわり' 5589, 日本生命' 14786, 男根' 12353, チュー' 14893, 五' 5622, 余力' 20052, ペイント' 14125, 身体' 1995, 義父' 3594, ペット' 427, 混乱' 14206, 4309321' 17333, 少なめ' 11583, 厚着' 22123, 歯並び' 23283, レシピ' 2005, ゴールンウィーク' 21452, ロールプレイングゲーム' 22344, 再現' 7518, 新聞' 3336, 預金' 4976, qantas' 20319, 死者' 13824, コンビネーションツイート' 20532, 服' 3603, イコール' 12063, ダビッド・ナルバンディアン' 12477, 愛用' 646, 多額' 12611, ブルース' 21169, 下手くそ' 21150, 夫' 502, ビルドアップ' 18899, 優越' 13326, lisa' 19615, 荒木' 9737, 同意' 8277, ポコポコ' 15978, 称賛' 9637, スナイデル' 3432, 階段' 1869, 食物' 10656, 手ぬぐい' 23209, まとも' 2242, 隆典' 6916, オヤジ' 5235, エジプト' 10678, 布陣' 19836, just' 12388, 理容' 22133, ガタ' 19750, ナイアガラ' 12752, 塗り' 13212, 抱' 17615, 性欲' 3960, 華絵' 16409, 卯' 12109, ファン' 1037, 夏目' 4463, ドラフト' 2362, キャッチャー' 5312, 学生' 2695, 真理子' 654, 気落ち' 2438, 42' 1289, entertainments' 16288, 両替' 14191, 神妙' 20861, 大幅' 6476, サッポロ' 13552, オロゴン' 23142, プロフィールタロット' 8611, 書類' 4799, カズサ' 21880, 意味' 1033, ナッシング' 14401, 機' 553, 河合' 18472, ツッコ' 9981, 後楽園' 4243, 湿気' 5319, フィフティー・フィフティー' 15302, 南部' 16516, genji' 19126, 最速' 8714, ししとう' 3066, パイレーツ・オブ・カリビアン' 17930, todo' 16538, 蕃' 14875, ムーブメント' 1986, 野良犬' 13199, エイジ' 15699, イースター' 8094, 上地' 1608, 雨上がり' 20819, 始業' 3389, 富裕' 22398, 虫' 9842, 終バス' 15059, 丁重' 6075, きみ' 3981, 正論' 11781, 後発' 22309, ヤマダ電機' 2729, 節句' 21077, ボロアパート' 22345, 頸管' 8784, 学歴' 4886, 黒地' 22698, プチ' 11778, パズー' 4691, 優等生' 8048, 入賞' 5856, レッスン・チョン・ダヨン' 8974, 気絶' 18773, 様子' 1540, 単勝' 20293, 着物' 5003, 商店' 7769, 情緒' 11929. 1103, ウワサ' 4753, jr' 8149, 関東' 2568, ミワ' 12829, 真摯' 4508, ちはる' 9307, キム・ヒョンジュン' 23078, 浴槽' 22120, ステキ' 241, 展開' 998, 欠番' 20571, キーパー' 98, コチラ' 3758, メット' 9673, 幸' 7869, 素手' 22343, 正三' 21695, night' 6900, いぶし銀' 5028, 出色' 18961, パッション' 8049, 鑑' 12443, ジュール' 15358, ウエイト' 4598, campaign' 18395, 腫' 10928, 生き残り' 16899, 切り株' 18532, 垂れ' 16021, テクマクマヤコン' 21907, 引き抜き' 10714, 健全' 12536, 計り' 22882, 熟考' 23304, エロス' 3998, ストラックアウト' 21338, ヤット' 13444, 思いの丈' 19842, クリ' 7649, 焼酎' 19212, 総集編' 18865, 姿勢' 3709, 藤村' 20575, 濃厚' 8253, 甲乙' 4009, 大輔' 8318, 毎夜' 6034, 伝授' 8917, 幸美' 9714, クミコ' 20253, 取り消し' 9423, バイブル' 13317, 監' 10882, ビュー' 16321, 向け' 5497, 高明' 15909, 人妻' 4715, 苦労人' 15502, トシオ' 4660, oyrs' 21366, わし' 2677, ブランク' 24, bbq' 15334, 実名' 4342, コレクション' 10012, ジェニファー・グッドウィン' 12367, 五穀豊穣' 19232, 一刻' 6623, 綱' 11774, 店先' 15346, ススキ' 21407, 大砲' 4237, 私情' 14053, ルールズ' 16753, ガスト' 21220, マット' 11861, 湯水' 19494, 取り調べ' 22338, シンシア・ニクソン' 21387, しかた' 4157, 栄養士' 2018, 不感症' 8042, 巡り' 14553, 真智子' 17592, 山の手' 3824, 式' 3676, 顔合わせ' 8892, 業腹' 22864, ムーディー' 847, 三枚目' 1547, バドミントン' 6786, 感想' 2503, 個数' 8567, 無口' 15277, 美佐子' 10434, じゅう' 18451, ツベルビューラー' 16255, 木' 22513, 愛想' 9008, チャーム' 15748, 推定' 13319, 制限' 1860, すれすれ' 7877, ミステリアス' 10373, スッポリ' 23579, サップ' 6888, 出展' 4580, ボカーン' 21602, 架橋' 19302, 山中湖' 23648, ビジヴォ' 5156, エディット' 19148, 束の間' 18222, 始球' 6652, 06' 18093, 大学生' 4599, 玉田' 21646, 昌平' 12229, ユナイテッド' 4286, 性別' 12212, 市場' 9543, 東村' 20796, 善' 19034, 自由形' 12258, 煮物' 23498, はるか' 4735, iwgp' 23132, やよい' 17639, 誇り' 7729, 曾祖母' 2619, 名護' 11883, 恵美' 6616, 大正' 15078, 性質' 764, プラザ' 21780, ベッキンセイル' 20544, 書' 3832, 宮' 4469, 尾沢' 20466, タカ' 4745, 洞爺湖' 15977, 32' 554, モッタイナイ' 13071, 252' 23339, スピッツ' 23365, いっこ' 16324, 修道院' 22299, 日々' 414, マア' 18978, 巻き' 15953, 毒舌' 8928, ゴールド' 7702, 佑' 92, オフィシャルサイト' 19877, わん' 21525, 菜摘' 20915, 習字' 14329, 高史' 22250, 真剣' 1162, this' 13372, 肥大' 7966, 産経新聞' 13253, ゃべるだけしゃべって' 18622, 全速力' 20047, 当該' 10273, 食通' 15946, トモヨ' 6593. 13067, 物質' 12967, ナビゲータ' 10696, デル' 23665, やり玉' 20233, レインブーツ' 12940, ジョズエ' 19934, 直之' 9592, 歯磨き' 19496, 新幹線' 9795, 月内' 22193, アキ' 2897, 潤い' 5758, 荻野' 13776, gnh' 21934, 離島' 15298, 稲葉' 14990, 作為' 7489, 先取' 10161, 応援' 1493, gold' 21810, 幻滅' 1312, 加減' 4325, 大将' 17791, 祝詞' 19236, 味噌' 5457, レンジェンヌ' 21559, ハツラツ' 8272, チャリティブレス' 21345, 日成' 11443, 痙攣' 14404, 説得' 628, スッゲー' 12627, 勝ち負け' 7115, サオリ' 3791, 評判' 4773, 古本屋' 20542, やっとこ' 21057, フォトギャラリー・ジョーディン・ウィーバー' 17265, コレステロール' 4053, 1600' 3244, 特大' 11977, ——？' 12870, 損得' 13165, コール' 22609, 新旧' 17608, 様' 1165, 地面' 11224, 高揚' 14365, line' 18959, 智美' 1458, アイルランド' 6000, 暇' 484, 瑞恵' 6228, ゃいけないってこともないし' 14039, 蛙' 10248, ロシア' 153, 県' 3263, ポーズ' 9456, 功労賞' 19587, メカニズム' 5712, しな' 15189, イモ' 12505, 遅れ' 2520, 中里' 2273, スマートフォン' 20101, チューニング' 7529, 何者' 6023, join' 13695, 愛馬' 23223, 列車' 6708, 平野' 16357, 合いの手' 21841, メッセンジャー' 21045, キビ' 8021, 諸行無常' 9681, オーストラリアンラブラドゥードル' 3217, 壮絶' 9183, 上流' 18522, 深部' 8548, お便り' 6853, 意向' 14723, visa' 12491, duet' 22240, 遠く' 5931, 外出' 2666, 爆笑' 9460. ？」' 7333, 原稿' 6151, お気' 14277, チリーソース' 19216, 即日' 18796, ぶんか社' 6116, 結成' 6194, ガソリンスタンド' 7234, anker' 12116, 背徳' 10723, グラマラス' 4926, キウイ' 22874, 膝下' 17643, ジャラ・ペールワン' 22288, 空回り' 6309, バレエエクササイズ' 15559, ランドリー' 1096, 端々' 3892, 義務' 1998, 自前' 19088, 吉永' 22688, アイフォン' 9103, logo' 21567, ケンタクン' 11940, ソンソン' 8327, フェチ' 592, 送別' 7908, 皇帝' 23135, ヴィーナス' 18012, ライフライン' 11995, ハンガー' 20187, 品格' 13082, 小額' 14462, 真子' 11049, result' 13737, 考え' 5404, オバタリアン' 3657, 蔑視' 17951, レス' 4002, スタイル' 225, 後半' 733, ホワイト' 6251, ギャラリー・マリア・シャラポワ' 10170, ヒルトン' 19653, いじわる' 13494, スイッチオン' 21628, どきどき' 6444, アイドルヲタ' 19064, ミサ' 23123, 全勝' 18204, 鏡' 383, ブース' 13281, 認定' 12860, 輸入' 12090, 広子' 14466, 乾電池' 16609, 香里' 21355, 紆余曲折' 3673, マンチェ' 20696, 撃破' 13706, ガゼッタ・デロ・スポルト' 9067, ペーペー' 14865, めちゃくちゃ' 481, 陶芸' 13259, 生真面目' 12442, 早死' 21800, ダウン' 3435, 教養' 19479, nissankyo' 20561, 一番' 52, オニオン' 5502, 雛' 21094, 在庫' 19846, 振り' 5442, 316' 22389, 核' 1960, ため' 162, ギリシャ' 11639, 鎮座' 12360, 一言' 2890, ビデオテープ' 18280, 内緒' 7349, 顔立ち' 4166, オオカミ' 13911, 麻衣子' 19473, 6506' 23487, ジョエル' 10499, 高価' 3575, 端麗' 7939, 久米島' 22968, 組み' 6598, 茂樹' 19622, 司令' 22664, 復旧' 1446, 齢' 6419, クリトリス' 7433, 骨格' 10169, ネイル' 7492, 人見知り' 21259, 通達' 8452, 屋外' 11214, ジュエリー' 21569, 2015' 9815, 南海' 5007, 自然体' 85, 御用達' 19646, スタンバイ' 22094, プロフィールフラワーアレンジメント' 2429, コスト' 15552, ワークライフバランス' 10378, 鼓舞' 14095, ソネット' 23189, 冷や奴' 19179, ppp' 16630, マイルド' 11668, プロポーション' 8956, 後世' 15145, 死体' 20461, 有一' 14880, エレファントカウント' 13954, 執着' 6385, 老眼' 22474, 仰向け' 18582, プライド' 4102, アレンジメント' 16825, 喫煙' 2874, ドル' 4995, プハーッ' 22549, 来年' 1544, 短期間' 2909, アゴ' 18321, 宣言' 2964, 国債' 5002, ならく' 10854, 兼用' 22258, 木刀' 11299, info' 5465, 広がり' 15901, 菊花賞' 16330, イケリーマン' 18182, タカオ' 10590, うさ' 23157, 素っ気' 127, オタマジャクシ' 19519, 凶' 12643, 棄却' 23611, 留' 8864, 藤岡' 18191, 平均' 3380, 連勝' 8372, モテオタク' 14559, 痛' 1814, 収差' 20392, 団地' 22157, 同校' 8311, ナラ' 19530, 立ち' 8098, 牛乳' 5887, 蘇' 21224, ウィーク' 9283, 華代' 21266, 飾り物' 5650, 詰まり' 21504, 凡庸' 9706, こめかみ' 14684, ヤマ' 730, 師範' 20070, 始末' 657, パンダ' 3555, ソフト' 3185, 集結' 14275, トリコ' 9684, タックル' 7678, 終電' 4395, 誌' 1898, スケート' 5287, スワップ' 5407, 守弘' 20074, 運動' 1907, 丹田' 5186, うわの空' 11874, 養育' 2228, 総なめ' 23490, チャッチャ' 18073, 級' 2542, 電撃' 11788, 登場' 1598, 夜長' 10194, 公私' 9442, 起伏' 22141, 炎症' 8786, ツバキ' 18741, ピックアップ' 8990, 奥様' 7633, 覚醒' 10549, 制裁' 187, 東南アジア' 18001, ブレブレ' 22544, 寅彦' 10030, 続行' 4640, ペルー' 5194, ハテナ' 19485, アイコン' 17423, 光里' 22297, 残額' 17437, 隆也' 13007, 喧嘩' 6665, コス' 441, 一概' 9533, トリプルルッツ' 19989, 補助' 3277, 歩み' 19349, 世の中' 1685, 憤慨' 14982, テープ' 15869, トリッキー' 21225, 建て前' 11017, 異動' 4810, 数時間' 20533, 美作' 23057, 頭領' 4642, あらいぐま' 20257, ルポ' 21583, ペッパーミント' 18861, 壁紙' 21175, 用品' 1803, 就活' 8573, 前期' 16133, ca' 6603, 術' 3475, 卒' 7809, 添加' 16938, 恋' 459, 柴又' 13402, 蚊' 13352, コケ' 12294, 冷静' 1337, 根底' 3851, 休業' 1449, 越後' 3431, サプリメント' 9174, ヘッド' 8969, いち' 393, id' 22828, 敢行' 13598, 意' 2113, 沿い' 21490, テルマエ・ロマエ' 21589, ろ過' 11529, シキ' 4728, 資料' 3549, オリエンタル' 20023, 天龍' 14652, バリエーション' 10006, ノート' 1730, 歓声' 9776, 新書' 5895, 文化' 3224, 送球' 8584, 森口' 17473, ヒョードル' 16794, 窪田' 5035, 泊り' 7506, モール' 10440, オリジナル' 5549, けが人' 19461, 勧告' 20226, iq' 21843, リオデジャネイロ' 11835, 近く' 561, 保管' 9768, 理念' 8816, ウクライナ' 6013, 座' 2443, 救急' 1756, ｎｈｋ' 19288, 語り口' 18246, ユウキ' 10073, ミエミエ' 16763, のんき' 10251, 美里' 3837, 鴎外' 21700, 気働き' 21641, 配合' 5759, ゼリー' 9756, 生体' 7507, 試金石' 12053, 親交' 4208, 理性' 12348, 永作' 8522, 水族館' 20355, 淡色' 12737, レデイコミ' 12148, 恵利' 23293, 安打' 3419, 背番号' 12300, バッタンバッタン' 15213, 寿司' 5110, 肺' 21446, 水嶋' 21958, シカ' 4694, 衰退' 11640, 客船' 22643, 依子' 22189, 落とし前' 17292, 反映' 10377, ファール' 8451, 饒舌' 7183, debit' 18792, ダム' 6136, 得度' 9713, ヘッドホン' 17211, コスチューム' 10828, 結社' 21364, 梨乃' 22024, 連日' 7780, ボールド' 21133, 着目' 7112, 抜け道' 19444, 無造作' 17316, わが身' 3641, 生き' 2550, con' 9901, nsw' 12707, これみよがし' 15734, 研究' 1989, 餅' 15433, やみくも' 19277, 誉れ' 14676, 分かれ目' 11789, 邁進' 10032, えつこ' 10975, ハサミ' 617, 別' 742, entry' 18088, 有利' 5625, 単位' 6458, 啓介' 16529, 麻耶' 7605, 数字' 3347, スタメン' 6010, 保全' 15451, シュッ' 16619, 翌年' 6498, お返し' 8894, 対決' 10173, 鼻声' 5181, キャッチー' 18153, 日大三' 11352, チラリズム' 4832, ウルグアイ' 15226, 彼女ら' 1912, ホルモン・エストロゲン' 4075, 次長' 23277, 秘訣' 2985. ■' 18506, 悲惨' 10196, 楽ちん' 20339, ブラウス' 2148, 石鹸' 5581, 宏' 1561, 祝い酒' 8856, 惜敗' 3446, 9400' 14596, jp' 6945, 中背' 22896, 過ち' 12848, 季' 3012, 違法' 19847, ブルーベリー' 5439, 過半数' 9153, 学業' 22545, 蔵' 13294, ちの' 16912, 時刻' 5398, 話術' 7744, ポタージュ' 10673, 宙' 3973, 日ハム' 9642, 兼' 9685, 剣幕' 17826, ノリノリ' 6913, 各局' 19061, ふるさと' 12986, 信恵' 14595, イズニッックタイル' 9400, ハットトリック' 1589, エタノール' 5788, 金環' 14115, 貧困' 3293, ヤキモチ' 22935, ボルチモア・オリオールズ' 13547, 著書' 1913, y' 8054, タモリ' 15950, euro' 16660, すか' 1315, ほか' 853, 乗船' 11369, マリッジハイ' 22115, 肩ひじ' 8505, 恩田' 9651, オランダ' 3439, 砂利' 13339, 弟子' 4221, いかが' 2192, 開店' 1469, ぷる' 8930, 強振' 12238, 10500' 22532, 広範囲' 14502, 96' 2250, 連盟' 6782, 若作り' 8523, 野茂' 12792, 施術' 8164, センス' 1166, 裏方' 11233, 靖弘' 11345, モチ' 8554, 電波' 9801. “' 18942, 知事' 2693, 小型' 12934, 転記' 17445, 小栗' 8076, デスク' 2671, ガイナーレ' 6702, 調達' 11402, 股上' 403, 貧乏人' 1182, 許容' 1304, ラブメイト' 22481, 革製品' 14454, 涙腺' 8805, 兆候' 15721, 雨天' 18704, ミク' 15126, サブ' 9562, 松木' 12195, 秀' 9286, ポートサイド' 13831, 体位' 17221, ピクニック' 3210, 恋人' 918, 薬指' 6404, グッド' 8545, 毒牙' 23624. −' 8988, おとぎ話' 9205, 雪乃' 4423, 全員' 2637, 不便' 417, イットリウム' 19550, 彷彿' 9367, ノック' 9237, はず' 1653, ラブラドール' 3256, 民事' 21891, ホールインワン' 13554, バースデイ' 22806, お調子者' 18604, セレブ' 10016, 短距離' 12427, 寺' 12496, 剛' 5058, sf' 12267, 起死回生' 10612, 日テレ' 7619, つながり' 805, ムカー' 17663, 気配' 2463, 福井' 9909, 山岡' 12839, 襲来' 6689, 3272004' 17335, 民間' 7378, 進退伺' 20666, 恍惚' 20462, 恐妻' 23054, 懸賞' 9167, とたん' 8228, シナリオライター' 5320, 省庁' 20227, 特技' 18782, 狭山' 20628, どれ' 1296, 夜' 842, 揚々' 16111, こん' 7152, 賭博' 12589, 旨' 11881, bud' 22478, 里帰り' 11219, 妙技' 20820, 出席' 2559, 市民' 9185, 一軒家' 15374, 東海道新幹線' 9802, 36' 724, beryyz' 19067, 長政' 14691, マユミ' 16576, sws' 14649, ジェルマット' 13463, 匿名' 14468, 志帆' 11197, 今宵' 14358, どころ' 6373, 過敏' 6101, ライブドアブロガーキャンペーン' 8556, バック' 6380, rt' 6869, さおり' 9750, ムキ' 13149, 風靡' 13569, バンタム' 13363, 紅白' 4269, 産業' 3096, 〜. 306, 人事院' 20229, cl' 10695, 快勝' 5619, 和亮' 22235, 余裕' 2947, モンロー' 16776, 應武' 7858, 学期' 7367. 314, ４' 494, 前面' 3729, 受難' 18676, リーガー' 7138, 利率' 4988, dosomething' 17257, 断トツ' 2220, ムーン' 19737, ガッテン' 11412, 気の毒' 2965, 奏者' 15431, 隠居' 4343, 河口湖' 23652, shiho' 14127, れん' 8101, ゆず' 8103, たて' 7878, 応対' 15125, ハイレベル' 20860, 仮' 20982, 製造' 4653, ii' 3582, 過大' 20649, 山根' 8268, 俊史' 14078, ジャーナリスト' 3433, 上村' 23172, 帳尻' 8453, リクルート' 15385, バイシクルクラブ' 9662, 改名' 21693, フライブルク' 20852, 陸上' 2244, マンション' 1763, ゃいけないわけじゃないですか' 22116, ホクレン' 20366, 報告' 1042, 斐紗' 20476, 攻撃' 3429, 琉魅' 17513, 食欲' 1999, ロワイヤル' 10621, 寿恵' 18598, 厚手' 20593, シニア' 12905, 熱々' 9038, シンデレラ' 2987, サーモグラフィー' 18726, 沙' 543, 交易' 9391, ノブヒコ' 2963, 傍観' 22281, 筆' 6335, 内輪' 21522, 白桃' 17744, ウィンスレット' 6680, ビデオ' 9291, ミックス' 7828, 茶碗蒸し' 9844, 代金' 20837, days' 8657, ブルックリン' 1193, 口臭' 9057, アナログ' 6313, ヒダ' 4312, 小鹿' 15368, グライシンガー' 13867, ポスティングシステム' 15773, 角' 2641, jfe' 7866, 美沙' 21299, ユニット' 8087, 甲南' 23220, 生理' 1263, 落差' 7778, 今夜' 20133, 過分' 16186, 次期' 14636, ｂｌ' 475, ことぶき' 8997, マナカナ' 19432, 車種' 21879, ウエイター' 8276, 運航' 9364, アンチ' 15999, 従姉妹' 9821, 安物' 11721, 発足' 3720, かご' 13083, ソーダ' 13455, 井川' 20949, 途方' 19592, プロバイオティクス' 11663, シェイム' 18148, アスリートファン' 7613, 自動車' 3407, cs' 5123, みち子' 20420, 隠れ蓑' 12042, 漁村' 9392, 貴女' 10399, 周囲' 822, パーティ' 14892, 変化球' 8764, カミングアウト' 10237, ウォンジョンカム' 14143, 雪かき' 14091, クロモリ' 9646, 養護' 14452, カリン' 14168, 俗称' 16319, 場所' 564, 城西大学' 13378, 心得' 3146, 町中' 11826, ピラミッド' 16585, いたずら' 17204, 言動' 1657, 膨大' 1603, 乳幼児' 22660, 予約' 6687, 泉' 12747, award' 10425, 代わり' 1991, カクカクシカジカ' 16394, 王者' 5839, キラ' 13886, 目線' 1279, がわり' 10122, 吉原' 7797, のんびり' 16870, 直訳' 13937, リスキー' 16214, for' 6230, 雄弁' 16625, 裏手' 17222, 抗争' 18258, 宏昌' 5005, 商売人' 15443, ハイパフォーマンスヘッドライト' 19398, ゙についての' 8995, 迷宮' 22409, ししょう' 20564, 腹膜' 8783, セット' 1784, 終止符' 12916, 警視庁' 15655, 既往' 7987, 経由' 8404, ブライアン' 19246, 報道陣' 7680, 敏之' 11455, 冬空' 2737, 不定期' 3201, 3410' 23485, 日本女子大' 21282, 鬼束' 14969, 虎' 2797, 1964' 10686, 郷土' 15281, 英会話' 11231, スーパーマーケット' 22143, ほんま' 10318, 感' 672, お盆' 7177, 月曜' 18048, ミネラル' 11418, 値' 7810, 795' 19052, 亜希子' 12504, 賑やか' 18051, 12' 180, 加代子' 11408, フォーシーズンズ' 19127, 偏差' 7819, 錯綜' 1453, 竹下' 8350, ピッチング' 2376, maya' 13699, うってつけ' 3246, カチャカチャ' 9606, チュートリアル' 15611, 青色' 10429, イッパイ' 13187, 澤村' 4812, lpga' 18019, 整頓' 4783, 谷川' 6875, 郷' 8501, ｗｗｗｗｗ' 12022, キリ' 9208, 年賀状' 6324, マネージャ' 17550, プロモーション' 13970, 海外' 1954, 直人' 5288, まどか' 1024, ウェア' 13053, 避寒' 9395, 逃避行' 19684, 竜彦' 14028, 頭部' 13052, エクササイズプログラム' 22982, ヘルツ' 11540, アロハシャツ' 5660, 俯瞰' 6544, お目見え' 18962, 以上' 332, サハ' 16563, pregnant' 5713, 頭ごなし' 11784, 虫歯' 23288, 甘え' 11008, だめ' 9458, 母校' 4432, ohori' 21189, クチコミ' 6978, 名簿' 10907, 裕美' 9613, 木々' 9187, メイク' 4159, 自活' 20239, スペック' 11506, 東京ドーム' 17276, 真価' 20139, 瑠' 10614, いくら' 2675, プロジェクター' 20998, ボイス' 5161. ？. 13377, 頼り' 6572, アウトー' 6849, たより' 18466, ネシブ' 12417, 亜美' 9709, ko' 14917, 毎食' 17883, 富美男' 20574, 擬態語' 20623, ポスト' 6326, チープ' 20010, 権' 2882, 入江' 5106, フィギュア' 4015, 雅子' 1424, nk' 17972, アルガルベ' 21341, 落とし穴' 2027, アクセスログ' 19860, 事務' 846, 賀' 6826, 乗除' 3232, 髪' 322, 弱者' 13603, 歴' 3133, 基本' 1724, 314' 14428, 2006' 5842, 指名' 3422, 親類' 8238, 修造' 7827, echigo' 19314, ロータリー' 10337, 身振り' 15818, アカン' 5218, シチュー' 2578, 志望校' 23045, ゼスチャー' 13901, カラチ・ナショナルスタジアム' 22289, 君主' 20302, 実力' 2411, 由実' 7182, クローズ' 21050, カンペ' 16532, 満点' 8980, コミュニティ' 5817, 腓骨' 7242, 晶子' 7902, トワイライト' 19746, 防災' 1820, 取締' 15580, 使用' 1456, 人づて' 12524, 内' 1862, メチャクチャ' 11096, 半裸' 18576, 快諾' 7805, 隠蔽' 14939, 平泳ぎ' 8320, 別人' 9465, 振動' 19562, 難問' 18459, 定額' 4958, 常勝' 15599, 真一' 6890, 永野' 18187, フード' 5977, 役' 1388, 売れ行き' 19231, 建' 22496, 手取り' 3348, 吸湿' 13471, 吹き出物' 12977, 炎天下' 23583, 魚介' 15029, 宋' 14010, 口実' 18304, 同族' 18178, ぅ' 16433, 移行' 6984, 早織' 14445, ブラジリアンワックス' 16464, 横浜' 2086, qvc' 15326, 外側' 13468, 自演' 14912, ビッグ' 6018, 勲' 6563, 脂肪' 2757, ラッシュ' 12933, 糠' 12941, 吃驚' 23159, 査定' 8442, 哉' 20802, 動態' 18596, ニューイングランド・ペイトリオッツ' 20701, カサカサ' 5755, センセーショナル' 18755, flowers' 23091, パール' 13208, 阪' 14542, ダノンビオヨーグルト' 2748, 遥か' 10877, 裕二' 13015, かよ' 8955, 森野' 2315, 内容' 1290, フットストレスラボ' 8132, いくつ' 1418, スイマセン' 12624, アケミ' 6368, 香' 1426, エリカ' 2176, プア' 19311, ②「' 22337, 失望' 18883, 友美子' 20125, 航' 5540, 加重' 17107, サポ' 3690, ヤマハブラザーズ' 15367, 麻木' 12851, 腑抜け' 21122, 松下' 22803, 扇子' 8879, かしこ' 16110, 農家' 2575, 損傷' 2990, みなみ' 15671, ユウジ' 10587, カルティエ' 22390, 鼻' 293, プレーン' 2760, 眞' 9754, テッパン' 21298, 行き場' 9875, 珍' 14748, ママラホエ' 16094, ミルク' 14628, オーウェン・ウィルソン' 20664, 環境' 1056, 実妹' 16976, ロスタイムギリ' 8440, 進学校' 23047, 発色' 18263, プリント' 6318, 940' 13497, ジュニア' 2256, レモンサワー' 22683, マニュアル' 3550, コンポスト' 12931, 武家' 21478, 統合' 18989, コーラ' 18064, 幹事' 9883, 選任' 10906, 胡椒' 17679, ツィッター' 23196, msn' 20674, ガッキー' 21854, 気配り' 5259, ナナミ' 6964, ポロ' 18671, 過酷' 2290, 240' 21781, 槙野' 13906, bd' 22777, 敗因' 3925, デラックス' 13072, ゴリ押し' 12023, 脱毛' 11072, 敗戦' 2083, 人影' 12357, プルーフ' 13390, ゅと' 21198, 銘々' 20359, 於菟' 21686, いわれ' 13512, jugem' 20107, フォトギャラリー・ルイザ・ネシブ' 12423, 女偏' 14639, 相場' 13619, 濃いめ' 7271, 堅守' 17045, 慢心' 14919, フィーチャー' 3847, 痔' 9036, 邦題' 16513, 応急' 1780, ブリスベン' 8448, ストライク' 4739, お通夜' 22088, なつみ' 4183, 下調べ' 12005, アー' 22922, キャンディー' 10085, 牡蛎' 20615, 中園' 22421, 家計調査' 12616, ライアン' 16553, 龍' 17178, 問題児' 5233, ギグス' 9264, リオ' 16170, 最先端' 4422, 心底' 693, 1992' 940, アウター' 13799, 右側' 15259, 投函' 6315, 知りあい' 20095, 長湯' 18364, 文' 4058, ハンドスプリングスロー' 16677, パシフィック' 12763, 装置' 20301, クオリティー・オブ・ライフ' 22550, 鬼' 6204, 同義' 21261, 晩餐' 2384, 賛否' 2547, ナマ' 12797, cobs' 21311, 呼称' 3722, 南' 399, アネット・ベニング' 10307, 家中' 7640, 待望' 2786, 躁' 21594, 掛け' 5659, 最低' 2338, 焼' 21549, 真正面' 15969, 温室' 8179, 直也' 9721, 九' 11362, ビルト' 19135, サーフィン' 5665, トモミ' 9594, リオネル' 17205, 連発' 411, やぎ' 1196, 東尾' 5702, 波乱' 10278, あばた' 7798, パリ' 14536, 成徳' 10933, 中肉' 22883, 2460' 23489, バタ' 13764, 奇抜' 16165, 水しぶき' 20175, 暫定' 7757, tot' 22105, 脳' 4050, こうりゅう' 19854, モード' 580, 前年度' 8627, ミックスビーンズ' 20601, 膳' 8163, ワンピ' 3889, fc×' 7460, レポート' 5438, 極意' 8000, リアクション' 3719, 一矢' 17241, 故' 7043, 雄輔' 23235, ネイルアップ' 22871, ミランダ' 21395, 再戦' 14141, フリーエージェント' 20706, 交差' 15260, 馬連' 20291, 久本' 18686, 地主' 22810, 身上' 7498, ハヤト' 8260, 障子' 9959, 気心' 11057, 芸歴' 2495, ローテション' 23262, 無印' 18457, 泡' 10450, 縁故' 1541, 憂き目' 18111, 統率' 11445, 紅潮' 10893, ナンボ' 21852, opsb' 23067, ロズウェル' 20077, やまと' 10525, 下車' 21749, 考え方' 2033, リコ' 21885, 実話' 18753, 日常' 1706, 根菜' 11657, 主流' 3197, 移民' 18769, 両者' 185, アタシ' 4315, 短編' 3970, 篠原' 5067, 受付' 15473, 一大' 2029, 優勢' 14003, 活力' 12414, ウォーホル' 16788, リラックス' 4060, 垣根' 14571, 新井' 5025, 春菊' 8159, 購読' 12135, 鉄道' 10331, エイズ' 13913, 新緑' 22963, 思案' 21649, チエ' 15123, ドッグファン' 3260, 民族' 17911, 周年' 19638, 美也子' 2615, ぺ' 16505, アングラ' 12207, 浩平' 17807, レシート' 17439, 主将' 8700, マイノリティ' 22754, 爆' 15221, 握り' 6923, 葛藤' 8026, リヤ・ケベデ' 18766. ／' 20162, りこ' 14937, 桜庭' 10322, 国益' 22501, 光年' 15905, トゥーラ' 21813, 知人' 3141, 金銭' 1643, 魚釣り' 13899, 茉奈' 19416, 直行' 6510, 東一' 18221, 暁' 19099, ジュース' 10476, ドラえもん' 16601, 仕業' 21606, 割愛' 11298, アンナ・ファリス' 11320, 中央' 14681, お祈り' 4229, マタ' 20373, 西南' 2483, まつ毛' 21965, 1772' 10721, ガーッ' 15183, チナツ' 13457, 創部' 20629, アユ' 7372, 闘魂' 17077, 体育' 10995, 車載' 13341, 41' 720, 罪' 1700, 伸' 224, ミルフィーユ' 9093, 大技' 5562, 押しつけ' 15808, ザ・トラブルシューター' 8594, シイ' 8023, ともども' 17289, 総スカン' 5793, 進行' 125, 族' 11146, ロンドン' 18, マスクジェル' 23204, グラップラー' 23321, カンセコ' 9294, さやか' 15788, 光' 861, 68' 8981, 作り話' 18748, hajime' 23138, ベルガモット' 20409, 焼き肉' 14755, 栗' 2652, ケイ' 7838, 研究所' 1006, フェアリージャパンオーディション' 21247, 精一杯' 5827, ホー' 4215, 居' 16911, 義行' 7829, 祓い' 21547, みの' 3742, 言' 7363, 見聞' 14074, 本末転倒' 11877, 賞品' 11709, 熟知' 11238, 妹' 6581. ／' 18202, 傑作' 1739, 一時期' 6056, ショルダー' 13561, don' 766, ニアミス' 18464, ハンマー' 8347, 毒気' 14430, ペロッ' 15030, —／' 17244, 棚卸し' 8602, 真顔' 2402, 資材' 13617, 全て' 1138, 出勤' 9033, チャン' 16221, 創作' 7408, 二重瞼' 16163, 美津子' 567, ポケットドルツ' 22194, 昌之' 18066, クルーズボドラム' 9344, トリートメント' 18849, カクカクシカジカカキ' 16389, 待った' 18216, 安' 10293, 銭' 4686, 温度' 2157, 土俵' 14151, 探偵' 11324, レバー' 5436, ビッグイベント' 18117, キョロキョロ' 23163, 個別' 4978, 休憩' 2868, 記入' 8752, 泣き' 17662, 順位' 2730, 磁力' 19561, 読売新聞' 4336, チェゼナーティコ' 19300, 境内' 9117, 門松' 15831, 感染' 2275, 触り' 13218, もも' 8208, 孤立' 14980, ヒント' 5409, ジャーク' 20774, ユリ' 9791, 山麓' 23214, 過信' 7377, 井上' 5068, パア' 19869, ゃないやろな' 20839, アヤ' 9326, 扮' 8213, ハンサム' 14519, プロダクション' 3136, クルー' 22219, ドイツブンデスリーガ' 21904, ぼう' 10222, ルックス' 975, ユリ子' 2916, 伸び' 627, ワッキー' 13443, 大動脈' 22039, ニュルンベルク' 23483, エンチョズ' 16263, 町田' 10201, 子供部屋' 12614, 由来' 5751, 験' 16612, 修繕' 15391, 住所' 18809, 岩坂' 9736, ルート' 7497. 」（' 22109, 馬主' 14870, 別名' 11908, 嫁' 1965, 412' 11561, ディップ' 19206, 笠' 19922, 英光' 19304, ポエム' 14907, ）. 21107, 事態' 4881, 9652' 23250, リソウ' 19590, じまい' 17440, マナ・カード' 12910, 総括' 18816, 出会' 18439, いぼ' 17770, 将軍家' 4803, 田尾' 8763, 合格' 9515, 保険' 3316, マスコット' 15641, 能見' 2842, 警告' 17361, 状況' 1705, 祥子' 9902, 緊急' 10806, ボコリ' 21713, イヤ' 339, 遂行' 8815, ヤツラ' 11244, 世間体' 22801, イヤラシ' 22577, 竹原' 13356, カカオ' 6212, ロイター' 13819. 15262, 縁結び' 11360, 210' 23137, 代表' 4, ガイド' 3259, しんみり' 6421, style' 12462, 秋' 2065, アメージング' 17653, ｔｖ' 5743, 量' 366, 大勝' 4350, 宮城' 1221, 幻' 14012, 順一郎' 10566, 夢心地' 21590, ナイジェリア' 18432, 決心' 9903, 先生' 2007, タチアナ' 13097, バチ' 10716, フットサル' 9269, face' 19029, 話し相手' 2956, 巨人軍' 6258, あいさつ' 12054, エコ' 3061, ライト' 906, とら' 18880, シルバーウルフ' 14916, 関心事' 12946, サトミ' 18307, ヶ国' 13382, アメリカンスポーツウェアブランド' 21573, ハリー・ウィンストン' 22387, 南雲' 12533, 正確' 4982, シェイプアップ' 22767, 伝票' 12060, にわか' 16838, 雅恵' 22112, 勇' 5121, gaga' 1709, 変色' 5484, ツッパッ' 17585, ルッシオ・リニャレス' 6915, ディナー' 7496, ありがたみ' 869, 満喫' 6477. 「『' 10113, 750' 16964, 略式' 6327, 勝利' 3927, 温泉' 1937, あぜ道' 7094, 争奪' 6949, イズニックタイル' 9373, 下地' 18348, シッ' 14177, 春先' 7955, 和室' 8902, 秀彦' 7687, 椎茸' 19197, プリンス' 10626, 境' 4437, 着こなし' 11667, big' 14785, 久実' 19761, 小坂' 14080, フィット' 13130, ジントニック' 19164, 本意' 2369, 武蔵' 2625, ｃｓｋ' 23392, 考慮' 3364, 小倉北' 23604, ataru' 21459, 電光石火' 18000, 喧伝' 9978, ストイコビッチ' 4355, tv' 4036, ゃわからない' 21254, uv' 12322, ハム' 14784, ビオ' 22139, 病人' 8109, 大差' 934, 裸体' 10834, ネジ' 22102, ノエル' 12181, レポーター' 8250, コスプレ' 11824, 障害' 3799, distributed' 21820, 武勇' 1278, ２' 428, 週間' 1571, ウインドー' 12510, 熱処理' 16628, 希有' 18212, 熱情' 23124, 無意識' 2167, グラタン' 5428, 銅賞' 19050, プロテニス' 13006, 世話' 8270, コラーゲンホワイト' 17746, brilliance' 22383, 歴然' 15027, 34' 263, アグレッシブ' 10737, アビゲイル・ブレスリン' 7734, フライドチキン' 7285, 土足' 18806, 妨害' 9317, 任侠' 19018, 法' 2023, サラテ' 10500, メシウマ' 14790, たんぱく質' 22138, 真琴' 2557, カラム' 4749, 月' 453, スタッド' 5866, 制約' 9588, アクアタイムズ' 17495, 寺島' 18110, 美酒' 21648, 容赦' 14613, 人前' 4756, ロレックス' 23433, オリ' 6929, アバウト' 4760, 台' 6210, mixi' 7574, ペニス' 7434, 一銭' 16204, 携帯' 232, 大賞' 3298, 致' 2493, 前夜' 5063, 手足' 9937, 循環' 872, いずれ' 3627, 女難' 23389, 坩堝' 5861, 道義' 7099, ヒロコ' 4165, ホメ' 6974, ドリーン・バーチュー' 12915, サッシ' 19440, カルボナーラ' 21558, 昇格' 8822, 苦情' 6551, カワイイ' 2150, 一夫' 3850, マンネリ' 3404, 佳世子' 13323, 落下' 23601, 繁和' 17569, 公演' 4606, チエ子' 16877, 秋冬' 13629, しっかん' 12954, 岩谷' 14398, 友人' 677, 中毒' 23408, ケチ' 14288, 翌朝' 13094, 太陽熱' 13452, ランニング' 8217, 鋼管' 13582, 国歌' 17498, ute' 19066, オモロ' 20803, 薄切り' 19174, project' 23241, 梨子' 17782, 伯父' 2579, m' 2247, 真紀子' 21079, モーニングバード' 20924, 塩分' 3057, 就任' 5238, 反射' 1662, カクカクトクトクフェア' 16392, 長南' 16792, 晴天' 7127, 甘み' 1996, 目白押し' 991, 出' 721, 出現' 2823, 馬鹿' 2324, リリース' 5871, 三谷' 21950, 90' 2614, 裂' 7219, 男役' 11611, 甲斐性' 12056, 談笑' 8227, ブルックリン・デッカー' 16421, rice' 10354, 行列' 5616, リサイクル' 13627, 豪放磊落' 16740, 香緒里' 12333, 滝川' 18415, 399' 16201, ぎみ' 8596, フリー' 102, 国連' 7945, レオノワ' 17936, ダイエット・エクササイズ' 8934, 瞬間' 373, 処分' 2507, 樹' 2360, ジャー' 10600, ミス' 4757, ウズベク' 13312, 井' 9182, カッパドキア' 9342, 出雲' 13184. 12316, オレ' 2348, 前厄' 21533, 逸品' 10013, クーポン' 13234, ぴかちゅう' 21692, 向上心' 15617, 習い事' 6355, 通夜' 6516, 2940' 20757, 一石二鳥' 18579, 雷' 15582, スクープ' 7592, 時事' 13246, サディスティク' 23578, 登山' 22044, 技術評論社' 20845, 愛菜' 17185, 2008' 2254, おこし' 21421, めし' 7261, もと' 2058, イ・ミンホ' 23066, 大垣' 15292, 左中間' 21601, 視察' 4200, 防臭' 5577, イザ' 16604, ヤフーバリューインサイト' 21550, 目覚まし' 14775, 祝福' 2967, 無効' 18855, 今週' 4092, クレジット' 13247, キャッシュ' 20836, ハニー' 11114, 初対面' 7178, 暗闘' 23526, ルビ' 3509, 押し込み' 17388, 大道芸' 19151, 減' 15569, ウッチー' 12021, youbride' 15439, 意気投合' 5802, 中川' 8574, キシェンコ' 6882, ウェルカム' 13895, 久美' 8844, 中身' 1755, 編成' 11091, 物知り' 20890, 日帰り' 6471, 麻里子' 15636, キュート' 1152, 柳沢' 22467, マシマシ' 19732, 雅治' 13495, コーディネート' 4716, 軋轢' 20068, 値踏み' 18176, 為' 3796, 熱弁' 22624, 手当' 9855, 積み重ね' 13298, 和倉温泉' 16062, サウスポー' 7750, 冊' 2350, ブタペスト' 14533, ジタバタ' 15475, 投げやり' 18288, 肉' 639, 覇気' 7705, 炎上' 6636, どじょう' 9953, 174' 6799, 部' 1187, ヒヤリ' 15243, 知世' 15987, ガンダムチロルチョコ' 10479, 雄貴' 22597, インナーマッスル' 13972, 近辺' 12507, 炸裂' 4541, タケシ' 8495, モヤシ' 21623, 野菜' 1845, 静岡' 5923, 江尻' 12231, ｉｄ' 19852, 博打' 2612, s' 128, 僭越' 11516, 保冷' 11284, ズラ' 17240, 欠場' 2239, 風習' 8847, 礼節' 20713, ごぼう' 5504, 職員' 1031, 効能' 3076, シブガキ' 23662, スピリチュアルボイス' 8533, 主審' 8462, 蟹江' 12331, 器具' 16923, ムスク' 19087, 寝耳' 14136, 観賞' 12277, 文明' 14695, 遊' 23638, アイラ・フィッシャー' 16556, 割れ目' 15785, 下ごしらえ' 19199, キャラメル' 1620, 亮太' 8082, 大成' 2440, マンドリン' 15710, 運気' 2481, クン' 4627, タオル' 5569, 針' 11831, 捻り' 5545, 滋' 11466, 動作' 13055, 半々' 11290, 見殺し' 2837, コスナー' 19579, 多量' 18763, 家電' 4720, 大丈夫' 1029, 安斎' 20335, ナツ子' 15762, 030' 17117, 常套句' 9473, 製' 18718, ミン' 19912, ハイブリッド' 19548, 同市' 10568, サバサバ' 15682, 展' 20848, 及第' 6409, 後続' 16958, 貫田' 4436, ざなり' 21524, tgp' 5722, あき竹城' 8262, 泌尿器' 7450, 292' 20396, 平岩' 9091, ワグナー・ヘッドコーチ' 3942, エキセントリック' 18252, ピンクグレープフルーツミント' 19604, 備え' 1769, サヨ' 19531, ルイ' 23436, ドゥリ' 17559, 携行' 11991, 中山' 15244, 警報' 21274, チームリーダー' 22594, 地方自治体' 15283, 度量' 16478, 億劫' 9954, davide' 16564, スコーン' 5901, ロールケーキ' 17156, 長兄' 18910, トン' 4120, 老化' 6195, 退席' 4371, 晴山' 18358, ソニー・ピクチャーズ' 11432, 越し' 9420, ラク' 9580, よしみ' 13544, 唐突' 10039, ゃいけないんだって' 15175, hangzhou' 14062, 投信' 4940, 列' 11095, クイン' 15610, フリーター' 3328, 文章' 3177, 下着' 1369, リング' 5872, ダル' 4278, 不通' 10104, 耳年増' 15688, チカラ' 9799, 確証' 8740, 才色兼備' 9743. 2455, プチヴェール' 8160, 相性' 8019, dh' 17239, ゲバ' 14597, モチーフ' 6302, 保里' 533, 裏金' 11340, 経' 6537, 原宿' 12513, 見送り' 14485, ウブ' 8683, サイン' 4071, 一級' 3994, サッチ' 19024, 感動' 1736, 極小' 14117, 幼馴染' 5271, 内野' 4118, 地味' 4438, インヴァティ' 20741, 野獣' 20925, 付き物' 18118, すじ' 13197, 塩見' 20951, 入手' 9142, 作' 1646, 頚' 20194, 肩こり' 1748, 科' 1916, 茶の間' 5845, フラン' 21242, 松友' 11846, 参入' 19354, おちゃめ' 18343, 集' 10195, 出資' 13279, まぐれ' 6276, ワン' 3385, 由紀子' 573, 江子' 21318, ｍａｓａ' 20822, 下剤' 9053, 初旬' 16892, 切開' 14605, 名字' 2565, ひで' 4670, 想像' 2602, 誠' 3718, 地下鉄' 13299, 自賛' 22676, 仏壇' 20299, グラス' 2014, 日経新聞' 20960, たかみ' 17642, 金権' 14654, 残業' 6468, コネクション' 9593, 足し算' 21621, 銃' 19640, 建物' 8135, 九州' 2569, イジワル' 14955, レース' 1537, 冠婚葬祭' 11198, 陸' 14808, 系' 1428, japanese' 13700, 推測' 13931, 超絶' 10841, ケリー' 10313, コマ' 450, 動向' 986, グゥ' 17080, 継投' 7724, 毀損' 12853, 弱冠' 18963, ムカ' 2341, ゴールイン' 8494, おん' 4429, 地下' 7523, 何ごと' 9974, ハッシュ' 22631, 中高生' 6582, zone' 7334, 桃井' 21744, 日本語' 4774, ヘア' 10889, 仁美' 2249, 小麦' 20045. ）' 8986, ランチ' 2655, 着信' 11938, くん' 743, 半信半疑' 13095, だい' 8776, ーーー' 18940, 成田' 7305, 平井' 5846, 再生' 13272, 糾弾' 19537, 手の平' 17068, アリムジョン・ラフィコフ' 13875, 来週' 11864, 古語' 21016, サンプル' 5595, スイーツコース' 20505, 何かしら' 2862, フロア' 9436, ダラ' 11614, 観察' 7875, ゆき' 3665, モー' 14124, 智之' 8906, 銀杏' 22074, 机' 7354, 補正' 22277, 風通し' 3058, がれ' 12809, 変装' 15206, カノ' 4871, 判定' 7760, egf' 5784, mf' 5089, クロス' 11456, ケープタウン' 4219, ロールプレイング' 22346, smart' 22197, 半休' 20992, 工房' 10157, 強者' 18616, 子ども' 348, クリーム' 574, ゃいけないのかなって' 18635, こ' 376, ナナ' 17591, サエ' 11246, きれい' 2317, afc' 22491, 年明け' 14631, 194' 6719, 新型' 2006, 適用' 12620, アプリケーション' 19668, ウォーキング' 13456, キャメロン・ミッチェル' 1176, スワンク' 10657, 栄誉' 1582, 性的' 7984, トップニュース' 12861, 爆発' 7486, 56' 1051, 外様' 18892, hp' 3203, 暦' 18004, 塩素' 18166, ルール' 2182, kh' 5877, cm' 2977, 重症' 14963, エロ' 3623, 商品' 1123, スパッ' 9577, 心持ち' 11291, 見どころ' 12119, コワ' 22162, 樹木' 11130, ヒューマノイド・ロボット' 23141, 麻子' 3068, ライダー' 23219, 裁判所' 8588, 浜本' 19454, じい' 20203, 粒ぞろい' 21005, ib' 14591, 朝野' 22311. 」「' 17954, 扇原' 18600, 650' 1622, 醤油' 17671, プロデュース' 6873, グラウンド' 4242, 徳一' 5004, 厳粛' 10530, シーン' 1727, キャンプ' 7167, かたは' 2830, 久信' 15461, ブラインドデート' 14509, 桃尻' 4633, 有意義' 9828, 涼子' 7932, キョウコ' 6618, 新党' 16155, 93' 8623, 初日' 7791, 慰め' 15113, 徴兵' 11863, 和希' 11050, 幾多' 7480, 一等' 18427, 数列' 23596, 吉村' 18502, ∀' 20136, 奇襲' 22175, 震え' 22049, ピーク' 7407, イズム' 5279, 控え室' 12600, ファンド' 13276, 色素' 10414, ヒット' 570, ヘアサロン' 5390, 転倒' 1781, 欠勤' 2921, お忙しい' 22930, ———」. 20871, ブランディア' 13632, 殴り合い' 20537, 大きめ' 15872, マウンテンバイク' 13351, 足掛け' 19458, ジェイミー' 7539, 高熱' 9163, コチコチ' 17989, 国体' 18968, 来' 18075, エレメンツ' 20855, 棄損' 12868, 盟友' 12623, ゆみ' 8005, 75' 7981, スタート' 110, コイン' 1118, 福祉' 3273, プッシュ' 1680, 中国' 2015, 数値' 11366, ブラジャー' 1601, 古豪' 16257, 引き際' 2816, 詫び' 7823, 定量' 21727, 滅多' 11016, ッカー' 6119, 生き方' 2179, 本屋' 4494, 安吾' 10216, 〝' 15301, キズ' 13613, 隣' 1434, 受注' 3132, 茉莉' 10185, ドン' 3953, 倉' 6852, 韓国' 1345, アルコール' 5742, 大鳥居' 13798, players' 20169, ルブタン' 23242, 物思い' 23331, 斎場' 22091, ・' 1810, 悶着' 6076, トリプル' 5831, スコアレスドロー' 5201, 耳たぶ' 20186, 彩香' 22055, 中古' 15383, 川辺' 13347, 美学' 16147, 汗疹' 13812, 雪' 6894, 早川' 12328, 付け根' 23451, あたしゃ' 23257, がに股' 16863, グラドル' 10976, 少子' 10393, ぃっくりな' 16371, 史上' 2320, 舞' 1459, 九州共立大学' 15495, 致命' 22256, 裏切り' 22414, 回分' 4247, ネルフ' 5883, 挙動' 11656, パスワーク' 10702, 温厚' 14045, ザスパクサツ' 3727, 目くじら' 21684, おかけ' 8818, 却下' 15449, 辟易' 13852, ｐｕｊｉ' 10545, ！. 10341, 小道' 15350, 喪' 6960, 子供' 765, 油断' 674, 笑顔' 675, フィンランド' 16756, イネス・リグロン' 22972, 遠野' 11236, 頂戴' 18232, 布' 563, まさみ' 1851, 壮行' 12120, フルイニング' 22362, ガッツポーズ' 12996, ツイートチェック' 22941, krush' 19820, テコ' 20009, 未満' 3353, コレ' 1266, 眞一' 23309, オイル' 10667, 真っ盛り' 2099, 推察' 11030, 満面' 23616, 振袖' 8869, 距離' 199, 追悼' 7699, 台詞' 6948, only' 2165, 委員' 3329, 揚げ物' 11276, 荷物' 4605, 衣' 9679, ドリカム' 8504, 獲得' 210, 湯' 4665, マシーン' 21373, iaaf' 18436, レーシック' 23425, セレブリティ' 9374, 考案' 8963, 教官' 20048, 黒砂糖' 14689, カンジ' 9866, 左遷' 9867, npb' 8759, 脚光' 8408, 土屋' 18390, 家内' 8901, 見学' 13296, 譲渡' 19352, 免罪' 11685, 見え隠れ' 12502, 捨て身' 5983, 救世主' 7262, 達也' 9911, 二階堂' 1697, ベビーカー' 11942, クヨクヨ' 23383, 指定' 11074, アリュール' 15724, 礼儀' 6300, 正美' 14966, ココ' 9934, 行程' 15286, ミニゲーム' 14029, 大挙' 6706, 産' 6470, 南ア' 10116, 帯同' 13717, 福見' 19057, 巧' 12230, 愕然' 14171, 総動員' 4657, ミヒャエル' 10212, 頬' 12186, 虜' 7615, 乱闘' 17362, 小遣い' 3586, シュルト' 17193, ゅう' 22524, ｐｃ' 5331, 南下' 9343, 後厄' 21531, ピラティス' 15556, h' 5906, はな' 408, ハット' 15050, 理解' 752, イライラ' 17162, ビッフェ' 21519, フカ' 12291, 返却' 13638, 楽屋' 23125, チャイニーズ' 20499, ミサコ' 680, マイクロ' 13262, 雑食' 23493, ｓｔ' 21201, うり' 13851, マチュピチュ' 16701, イツキ' 17986, 下層' 16571, zai' 17960, マグネター' 13194, よし' 15652, ガンバロウ' 10238, 庭' 15382, 半年' 3632, 品々' 8861, クッキリ' 15789, 大げさ' 7893, ヘンリー' 18251, 肉体美' 12426, ドラム' 6162, 相続' 19810, 長め' 7176, 洋楽' 4825, マルコメ' 5441, 木曜' 14438, 講演' 3335, 穴場' 19882, さり気' 20653, コミカル' 11242, 水槽' 11993, 点灯' 15887, パットン・オズワルド' 23019, ベルト' 11665, ウェディング' 3684, きき' 21687, 797' 15287, 迷信' 19703, 執着心' 14307, おひたし' 10671, 〟. 15310, 吸盤' 17873, 舌' 5187, 勝美' 8729, クリーナー' 22260, 険悪' 9725, お手玉' 23175, 体温計' 1762, かたくな' 11147, 3342123' 17337, 欲求' 11642, 跡形' 6666, 煩悩' 19673, 激励' 3454, 推奨' 9075, 渾身' 8038, 安価' 3587, 吉祥寺' 3234, 頻繁' 557, 葛飾' 15914, box' 13229, 62' 3591, 自主' 11978, スケジュール' 9534, クイーン' 19801, 勇気' 2460, 焼き' 5473, ひろ' 8871, 大東文化大学' 22190, 橘' 10863, 白紙' 15479, gi' 20282, ガチ' 448, 伊知郎' 10109, 軽度' 20193, 生死' 12407, 推計' 20240, ひとつひとつ' 4592, ヤボ' 12352, ａｆｃ' 7621, 短命' 16179, １' 438, くじ引き' 17151, josei' 12152, one' 2169, さつき' 6330, 窓' 318, 調停' 2222, ころ' 651, ナシ' 3666, 通気' 13049, 楽曲' 6198, バックス' 2853, アンナ' 10369, ハンバーグ' 330, yes' 506, 鼻筋' 23424, 向い' 20202, 澤口' 7320, ファブリーズミストラル' 21141, その道' 11190, 巨人' 2399, エセ' 22237, セミナー' 6930, ヤフードーム' 15492, 一昨日' 9043, マイク' 4225, 史' 4337, ルーカス' 18819, 縁日' 15333, オリンピック' 61, ガム' 10079, 手近' 14027, 排除' 2465, 噴出' 6103, ご存知' 3245, サカ' 18903, リーダ' 17471, メディア' 3042, 0120' 14496. 7573, 素肌' 18490, ガラガラ' 11160, 石組み' 16693, 持ち込み' 23435, born' 13365, 生まれ' 1224, 植村' 21991, qb' 13102, 場内' 8722, 震源' 4249, ベルギー' 13830, gg' 18287, トライアウト' 19342, 奮発' 22060, タンク' 15782, 敗' 3417, 同時' 8875, 150' 7775, 攻守' 12086, 栄' 4479, クスコ' 16698, 平等' 9539, ログイン' 21313, 口出し' 16211, 高圧' 369, マッスルアパレル' 22615, 東北' 230, 刃物' 18282, 佳菜子' 4012, スムージー' 11406, 生煮え' 17340, 起点' 23561, プロフェッショナル' 10763, 創刊' 3622, 飼い犬' 6263, bye' 21219, 胸焼け' 10464, ラウール' 20694, 家賃' 7701, チェコ' 5200, ビル' 5929, special' 19595, ウケ' 4552, std' 3802, サーミコン' 11079, 88' 12315, 禁物' 629, ヒューマントラストシネマ' 15988, ハマッ' 20512, 弘行' 16161, そば' 4951, ウィル・シード' 3570, ameba' 15111, シンクロ' 14954, サントリーフラワーズ' 10405, 射精' 14402, 雇用' 9583, ウズベキスタン' 8488, 克明' 16218, オリャンタイタンボ' 16720, piece' 18866, grill' 9371, you' 3649, 話し合い' 5596, 怪獣' 18309, 異色' 3874, スニッカーズ' 18947, 編曲' 10964, 気象' 19370, スパイス' 9087, 特異' 22627, 盛り' 9541, キング・オブ・アスリート' 12429, 向こう' 5987, トントン拍子' 11152, love' 10294, アルベルト' 19037, 生産' 3532, 08' 4204, 乗り物' 18586, 終業' 14213, 詐欺' 3169, polo' 21570, 軒' 3064, 今江' 23273, 低め' 786, トビー・マグワイヤ' 11421, full' 16807, ジャージ・' 23574, 組織' 7847, プレイン' 7023, 密集' 7448, テレサ・テン' 7905, 難色' 17564, 裁縫' 15854, •' 8859, 単価' 3163, マーク' 3711, パフューム' 13419, 夢' 1104, 大仁田' 14651, 切り売り' 22756, 芋' 5870, 終' 9830, ペップ・グアルディオラ' 16728, 香り' 5574, 拡散' 17958, 全国' 1526, アイホン' 18933, 敏感' 2173, キャロライン・ウォズニアッキ' 19993, アイライナー' 21931, 仏教' 2571, バレンシア' 7241, 英国' 7559, 駅伝' 2231, ドッチラケ' 19421, 外部' 12030, 解消' 3803, 唾液' 14658, 気迫' 11570, 初年度' 19096, 昼休み' 2651, 倖田' 9731, 西山' 14011, 腹づもり' 13870, エターナル・サンシャイン' 23052, プロ・アマチャリティトーナメント' 12494, ビデオデッキ' 10254, ショップ' 3153, 不愉快' 242, ブータン' 21930, 私物' 15484, 定理' 14731, 巧者' 7426, アンティーク' 22330, たまき' 298, 残暑' 9892, みるく' 15516, 口当たり' 11524, 圧迫' 13210, シラ' 19769, 部数' 15884, 合コン' 1461, ブルペン' 14764, ポテンシャル' 5011, ショッキング' 14944, スマート' 7575, ライオンズ' 16671, ディレイ' 6911, 最適' 3082, 二' 550, お尋ね' 8434, 発表' 2125, 全身' 2068, 紅' 4698, ルメール' 19002, 急増' 4896, フィニッシュ' 9193, 有希' 10844, 各部' 10055, tnp' 20371, マリエ' 10867, シード' 12471, 非常' 924, ショートカット' 9561, シャワー' 1321, 前提' 4524, どおり' 3062, 次世代' 8366, レノアハピネス' 21136, まね' 4730, 定評' 8420, 大嫌い' 343, シック' 21563, バイキング' 18543, やり投げ' 11222, フェリー' 11365, ディズニー' 20507, 県内' 9804, 輸送' 21042, ヘン' 11061, 上々' 7485, 久' 16158, アウエーユニフォーム' 7021, 出演' 1581, ばら' 19097, year' 13687, 嘆き' 4903, サーモステンレスボトル' 22540, リポビタンファイン' 12243, kid' 13658, ふつう' 1672, 余興' 18572, ケ' 8127, 明石' 23639, サッカー' 9, 一般人' 3651, 名画' 18052, ファイナンス' 13278, 理工' 6142, 洞察' 5988, 減俸' 16103, 文字' 6336, 由縁' 22425, ラストシーン' 3949, ｍｖｐ' 7616, ミスティブルー' 11487, 見込み' 843, 諦観' 12334, 既刊' 5314, 可動' 11220, 翔子' 16978, 愛弟子' 170, 栄子' 2187, 経営' 6814, 本日' 1041, リカ' 1918, 西村' 8310, 花形' 5682, kousiki' 22666, だれ' 8982, 2327' 15600, アンダーエイジ' 8377, インチキ' 7722, ハナコ' 19968, エアロ' 7027, 優花' 13729, 寄稿' 21033, プレゼント' 1092, 失' 23597, 儘' 17692, 左右' 879, 生きがい' 5262, 適時' 18164, 恵子' 648, 一文' 18658, 手続' 10896, フランクフルト' 15897, パンナコッタチョコレートソース' 18402, 航空' 20327, コントラスト' 11997, 納期' 3199, 漬物' 5516, 易' 15994, 西高' 12128, 刺身' 16824, ニュータイプ' 20658, ミエ' 15717, マリア・シャラポワ' 10175, カクテル' 18575, 睾丸' 18319, ヘディング' 14121, みや' 10138, 3081737' 22003, 収入' 3308, 好美' 1397, 小笠原' 19225, 原発' 791, ウイダー' 22596, シリコン' 20097, wrc' 21464, チャゲアス' 14344, 寛子' 18663, あの手この手' 1159, 瓶' 7236, エリザベータ・トゥクタミシェワ' 12906, 哲学' 12404, 承諾' 10101, 豊田' 12786, lovespot' 15886, 空調' 1410, ハンドル' 13355, ユイコ' 9029, ガルスチャン' 15397, busonera' 19825, 稼頭' 206, ・ザスパ' 3721, 書房' 2326, カイ' 7153, 盤' 4628, 眠り' 12525, たるみ' 5778, ブラシ' 17146, 出塁' 6642, 義剛' 13838, 伸二' 17953, ステロイド' 15092, 適当' 7713, ヤセ' 13962, ホクロ' 23427, 一節' 12523, 表題' 3946, 鄒凱' 5542, モアイ' 8072, 一案' 17413, ひと言' 6290, 堀' 8172, 落とし物' 17802, 御前' 4662, スナック菓子' 1854, 奈月' 10703, ハグ' 18527, 良樹' 20480, アラブ' 12204, 工程' 8006, ヒラシャイン' 14855, durex' 11635, 他社' 3200. 『' 15637, 捨行' 21718, 初回' 90, セカンド' 8581, 生田' 4550, 疑義' 18220, ブックレビュー' 6621, 離職' 23264, 図式' 13674, 多方面' 3325, ｗｗｗｗｗｗｗ' 15107, 台湾' 6087, ガッツ' 8331, 凡' 10557, 四つ' 4586, 名付け' 21683, 曾祖父' 2616, ４つ' 12743, ダーモット・マルロニー' 15272, アダルト' 17748, 久喜' 9184, レシーブ' 9755, 承知' 1964, 足下' 15251, 発熱' 14620, practice' 7992. 12577, コイ' 5345, フリーランス' 3296, 歌舞伎' 7493, 冷え性' 3059, 皇居' 18047, ダウニーシンプルプレジャーズ' 14251, アド' 6436, ぱっつんにしようかな' 19770, 裏表' 19962, 卓雄' 10803, 単独' 2702, ビジネス' 5636, お手本' 9595, 8170' 23486, 受信' 17796, ギフト' 10428, 聖歌' 7538, 選抜' 1215. “' 9572, 延期' 4260, 珍味' 11930, 補償' 17279, 道民' 18740, 貢' 16043, いじめ' 4555, アビスパ' 21977, 香料' 5763, スポニチアネックス・' 4299, 明信' 2820, ミュージックセキュリティーズ' 13293, ふく' 15555, 留学' 7695, 貢献' 1437, 理緒' 9077, ヨコハマタイヤゴルフトーナメント' 13530, 無念' 12287, 」—.「' 16924, コーポレート' 16933, 一起' 12225, 資本' 23525, 散財' 8191, プリンセス' 8970, 流石' 16820, ウィリアムズ' 16782, 000' 5083, モーニング' 11002, 股関節' 22494, 共著' 9691, パティシエ' 20511, 特筆' 10793, 報道' 1970, キュ' 13609, kc' 16326, 標高' 5837, スレンダー' 15674, 攻勢' 11055, 整形' 4311, グウィネス・パルトロウ' 13305, ツバ' 234, ピタ' 1768, 操作' 11479, 拒絶' 10312, 都' 2603, part' 19730, レッスン' 3368, 数々' 381, パンツ' 1331, 医学' 2000, 好夫' 9096, 98' 10512, ミシェル' 5026, oshogatsunp' 19235, 咲' 15881, 真下' 22760, 顔色' 14768, アミル' 21015, 和人' 14322, 同町' 5085, 稽古' 4787, 手応え' 4201, ボランティア' 3181, 代打' 4108, 1957' 17103, たたずまい' 22706, 恒雄' 4332, ポップ' 7915, 高額' 3194, スッパリ' 18823, 着' 9710, アイツ' 13484, bright×' 7350, ４月' 6347, ジョーディン・ウィーバー' 17268, 明治' 2631, 年月' 9484, 浅井' 14670, 撮影' 5266, レングス' 23037, ガッ' 10556, ワールドビクトリーロード' 20064, 札幌' 9647, 係' 15820, 近距離' 1257, レセプション' 19998, pms' 22547, ペトロヴィッチ' 17098, 岩名' 11381, リーク' 11032, シューズ' 5882, 二宮' 17780, 清涼' 9453, 慧' 10317, livedoor' 1621, 加速' 8047, 渡米' 11025, 棚' 7490, ミオ' 4600, 校風' 21600, 奴ら' 12372, たくましさ' 4679, ◯◯' 17830, 進化' 5198, 今季' 2397, 配当' 13270, 釈明' 15970, 直接的' 10047, 由美香' 22956, クリーン' 6243. 265, 知恵' 3117, 長居' 6723, 3200' 14470, 高低' 905, 疎通' 8422, 臣' 17179, 俗語' 4751, イタリア・ラツィオ' 17966, 体調' 3776, 白髪染め' 20609, 177' 16424, daijapan' 18433, 稀少' 3282, クズ' 10283, 内裏様' 21095, 唐沢' 20258, 通学' 14425, シリアス' 18242, ランド' 17363, 波動' 8598, みすず' 8526, 余' 12759, 提示' 8458, 砂粒' 22816, みち' 17888, 区間' 20330, ウィ' 14373, 部署' 2646, 事実' 1161, おだやか' 874, 再犯' 13930, 佐千子' 22753, smap×smap' 12066, 健司' 12087, 潤' 4460, 霧島' 12598, 無敗' 8637, コチュジャン' 5260, 修羅場' 3983, 徘徊' 22580, ストロングポイント' 14306, daihyo' 17293, 全面' 2477, 誌面' 19633, ヘア・スカルプケアシステム' 20749, むや' 8608, 美容' 1902, 嫌悪' 320, 一見' 9228, 払込' 22562, 昌弘' 17355, 加速度' 22071, 幅' 6612, 鳥羽' 15274, 甲斐' 16053, サムシング・フォー' 21795, ストイック' 12484, 妖精' 15252, 靴下' 5590, 食事' 783, 麻巳子' 18193, 附属' 14423, 51' 5964, 「——' 16993, phs' 22608, 70' 1500, アオイ' 23303, 認証' 7530, ミソジニー' 18681, 具合' 575, 目途' 15892, ムグラ' 15736, 夫' 23324, 防犯' 13926, ひと目' 8389, 独り言' 14089, 強国' 6033, 佐' 3539, スマホ' 9603, スキンケアブランド' 11557, 被写体' 22957, 最良' 21675, ath' 20165, 怪物' 7636, ニック' 7741, レアル・マドリー' 13591, ブルゴス' 16618, ストリート' 6679, 咄嗟' 16418, 先だって' 19929, 演出' 1063, レンタルビデオ' 23554, 被告' 10912, 歩道' 11181, 肥塚' 22814, 賛成' 14159, りさ' 11003, 普段着' 22765, 酷' 17546, 在住' 5366, ヤード' 10946, 壷' 23386, 坂田' 10941, メーカー' 3375, 後腐れ' 18447, ジェフリー' 16522, 恵美子' 9546, 不良' 9140, 2500' 15540, 奨' 23617, スーパースター' 12495, ジェスチャー' 16708, 危機' 2194, ノスタルジック' 10455, 包帯' 1770, さだ' 20200. 」「' 3968, カンパーニュ' 15983, ビーサン' 22321, 現代' 942, ｉｔ' 16984, everyone' 20306, 有効' 4970, 自省' 21165, スイーツ' 5274, ほう' 395, smash' 17170, 難易' 12276, お釈迦様' 20300, 芸術' 4360, 品薄' 22353, 枕詞' 11054, 呂' 3933, 中国人' 3089, 準備' 4029, レンジスチーマ' 20600, ラッキースポット' 17719, 山田' 3541, 本多' 12307, うず' 8688, 随所' 17963, リクエスト' 4870, 人情' 7109, 因果応報' 22512, なけなし' 17575, 気' 1553, 有休' 3374, アスリートフォト' 20369, 打ち水' 19365, 意志' 4766, ギューギュー' 22118, ロイヤルズ' 19245, 175' 7816, スズメ' 16100, 武田' 1565, 派生' 23500, 英断' 1339, 合併' 16233, ピント' 12104, 安藤' 5297, やり場' 6484, りえ' 12894, 学童' 7376, マキシ' 18489, 盛大' 14420, astra' 10315, 別姓' 21890, 離婚' 2141, ケム' 15805, 無敵' 10255, 取扱' 5886, 到着' 7185, 更改' 8417, ゴー' 22780, 合鍵' 1624, 無理矢理' 10481, 天真爛漫' 3027, 兆' 18363, 殊勝' 17237, クライヴ・オーウェン' 10370, どくだみ' 22529, was' 16811, シゲルトカチダケ' 14885, 遊牧民' 9601, 布製' 15873, 特徴' 3565, 枡田' 7669, 孝史' 17091, まとめ' 7564, プレビュー' 23634, film' 1066, 岩手' 14072, ヴァン・ヘルシング' 19729, 椀' 5474, 諸君' 20024, 万理江' 10725, ょ' 9654, 正真正銘' 10845, 相対性理論' 10985, 極端' 6491, 車中' 335, 支柱' 18710, あいだ' 22456, 人だかり' 21480, 困憊' 21269, 男子校' 6155, ｉｎａｃ' 21342, 当地' 15297, あんず' 9095, 小雪' 4932, 夕方' 3168, バリントン' 22807, ドリブラー・' 17829, 門前払い' 15342, 古閑' 6495, 失意' 11569, 敏弘' 17099, 門出' 9856, マイティ' 6048, 外野' 2828, 一緒' 1751, 贅肉' 6361, 度合' 10876, 慕情' 7922, 授与' 11339, ムギュッ' 17646, フュージョン' 9403, インディアンス' 5539, ニュヨーク・タイムズ' 9405, 参列' 6543, ディーバ' 17168, 小夜子' 20914, 仕立て' 13333, っ子' 682, オフサイド' 6742, 部下' 925, ケタ' 10019, 三隣亡' 12639, kj' 18847, 実録' 20199, 毎年' 2120, りや' 1334, sergio' 19313, バックアップ' 7852, 祥伝社' 3969, 特急' 6711, 毎月' 3320, 塾' 4149, 滴' 5757, ちくしょう' 23253, 優待' 15373, 偏見' 5888, スクワット' 4829, 応力' 13324, サラ・ブランドナー' 13136, 資格' 3396, バイク' 10332, 三十路' 7569, 大' 1109, 横浜アリーナ' 19425, スポーツ' 109, ヂカラキープアイテム' 20390. 』. 18143, かも' 4985, 受診' 3820, 棺' 6531, 大筋' 19445, 対比' 13195, ランコム' 19709, 不戦勝' 6891, ブサメン' 21940, 職人' 2496, モスク' 9402, ドライヤー' 12943, ジョーンズ' 11790, 家人' 20441, 熟語' 22515, テンポ' 7931, 民放' 9809, ソコ' 6986, 室伏' 8326, ゃいけないんだろうって' 8913, 小じわ' 18705, 与作' 12633, 悪' 22340, 間近' 3170, オーガスタ' 23563, 教訓' 6038, ディファ' 18951, 由' 11568, 禁断' 8248, グセ' 19973, 息子' 1508, 猪木' 6895, キヨシ' 21835, 芳照' 18165, wikipedia' 8846, perfume' 13417, 嗣' 45, 居住' 18429, 面談' 17071, つくば' 17339, スパーク' 3947, 時期' 893, ガールズブーム' 20115, 容器' 17684, 返信' 1362, 理学部' 16267, 歓喜' 12995, ことわざ' 10383, 完走' 12248, 真由美' 18152, 厄除け' 21539, プロレスラー' 7651, オンパレード' 5720, リビドー' 4007, 西部' 16672, 魔法使い' 10181, 神' 8392, 典型' 2294, チー' 11391, たかだか' 17667, ハナシ' 9586, 一致' 6137, 飽き' 11420, 揶揄' 4291, 住まい' 4398, 1442' 9906, 芳和' 1262, カテゴリ' 8386, 義妹' 8240, エスニックテイスト' 21388, 目安' 5580, カリスマボイストレーナー' 5173, 裏打ち' 16310, 異常' 3784, ベネッセコーポレーション' 18452, スノウローズ' 20411, バイト' 9176, 懐' 10840, フロント' 7026, ヒステリー' 18822, フェアプレー' 23566, 志麻' 18136, 群青' 19516, ノーラン' 12629, 職権' 22903, 慶子' 19941, 剣術' 10218, 着心地' 22858, 池脇' 4468, 浪' 23049, アクセル' 5828, ジェニファー・ロペス' 7848, コワイ' 15951, 姉御' 11780, ブワーーーッ' 14415, 傾倒' 17380, 祐一' 1502, セオリー' 7211, 不経済' 23505, 失神' 14046, ヨメキン' 21507, 味気' 8146, ガッツリ' 2635, 付き' 1067, 空虚' 18138, 春樹' 13795, 復讐' 22287, 構図' 12444, 打ち合い' 10487, 経費' 3355, スケッチ' 16878, 可哀想' 4116, 春' 2446, 席巻' 11094, ？」——' 15840, 流暢' 7476, 話題' 137, ド' 1504, 1100' 8566, 関西' 14282, クイーンズランド' 20814, 失調' 20812, 名声' 22285, 近親' 17611, 証券' 4966, 子' 531, ちょ' 8767, 選民' 23198, 同調' 1507, 写真' 882, ロサンゼルス・マリブ' 19625, ニッチン' 21557, 尿' 3097, 領域' 17747, 心' 1169, チームワーク' 10518, サクッ' 18389, フルボッコ' 2329, 凶' 13507, 審判' 2514, 追記' 15997, 休息' 11211, カズエ' 22466, 着地' 5559, carioca' 6815, 褪色' 18838, 抱っこ' 14526, ジャンプ' 5834, 子役' 16366, 進め方' 4673, 綿棒' 1826, 昨秋' 11033, 新鮮' 8020, 開放' 6478, 園' 3220, 鳥谷' 8473, ゾーン' 4703, 和気' 12724, 方針' 3530, リポーター' 22087, ロース' 5046, 井岡' 19795, 516' 17742, 怪我' 6825, 375' 4111, 禅問答' 15801, 格上げ' 11503, 菅山' 10091, 暴力団' 16500, 告知' 16379, 柳' 7712, 千葉' 3283, エスパルス' 10884, 夜通し' 6384, ナデシコ' 18735, 黒井' 10128, リツコ' 5701, 長生き' 6934, 焼けぼっくい' 4873, 悪者' 23448, 力負け' 11574, 粘着' 12784, パワーアップ' 8922, 指令' 4074, センチュリーライド' 19513, 康晴' 12520, リン' 4695, プロゲステロン' 4082, 桃李' 10639, たく' 22927, いるか' 21374, 大盛り' 4824, 無力' 18080, キム・ドンウック' 16854, ほど' 2185, ジュリアン' 15267, 前売り' 11892, ガーゼ' 1806, 部長' 8521, 無駄遣い' 22408, 良' 7867, 磯' 22887, 嫌がらせ' 14632, 絵理奈' 7665, パーセント' 13592, 癖' 289, 広辞苑' 22819, 海渡' 22099, 忙殺' 12776, ワンツースリー' 7763, アダム・サンドラー' 16423, todorokilabel' 15437, 哲史' 22521, インテル' 9061, プライバシー' 7036, ピュアガール' 15684, 移籍' 3043, マヨネーズ' 19194, ミスター' 4339, 肌触り' 9947, タイガース' 15544, 散々' 7814, 同氏' 4279, ポン酢' 17676, マンチェスターユナイデット' 16565, 礼' 11836, 弾力' 11526, 用' 904, 返金' 17287, 凝り性' 13478, ファイナンシャル・プランナー' 14200, キャン・' 13787, 賜杯' 15669, アピール' 77, エンディング' 10368, 雑談' 22168, 大切' 773, hdpe' 18837, 自営' 11234, 貰い泣き' 21251, 頭金' 12610, マネジメント' 3929, ヂ' 10953, 故郷' 10045, 飛び火' 11876, アカシックレコードリーディング' 8614, メーク' 7002, 由里' 17300, 情景' 16284, 泳者' 5854, 吟味' 19593, 来世' 21929, スポ' 3456, オールナイト' 10858, 鳥肌' 10816, 前妻' 9487, 来年度' 12048, 桧山' 20567, ヨーコ' 17060, 石岡' 4850, せい' 965, ヤマシタトモコ' 3979, 優香' 11297, 曰く' 1576, 厄介' 5823, 彦星' 14112, 若者' 964, 自然' 3115, 真美' 9432, ゃいけないんじゃないかって' 20733, 返事' 5806, 余罪' 22320, パワフル' 14745, 格別' 22769, 冷淡' 13681, ww' 6648, リスト' 14224, 見所' 9805, 豊満' 22487, エース・ダルビッシュ' 1055, 準一' 23278, ライム' 19159, 渡り鳥' 23353, 債務' 21894, 安江' 1317, 活' 1139, 見た目' 1140, 支え' 3372, 功績' 2801, リート' 18896, 長崎' 9135, 極道' 19023, 刈谷' 23119, 住居' 10860, 紙' 6094, 第三者' 14476, 反響' 7346, チャイナグリルシェンロングランデ' 20501, 美千代' 19663, 内心' 11011, イニング・イーター・' 14160, ソニー' 18114, トップモデル' 14950, 裕之' 8400, パスタ' 2843, オアシズ' 8950, 不向き' 3174, 渡辺' 4718, パンプティパ' 21240, 減額' 18195, カマタマーレ' 23014, 晴氏' 3728, 強調' 2216, ほうれん草' 8178, 対象' 761, 美形' 11613, 安野' 17064, 達観' 23276, モバ' 8979, カ所' 4619, 適合' 9277, きい' 7134, ズンズン' 19953, 靱帯' 16151, 突発' 17509, 麻理' 11934, 位相' 22431, 禁止' 6774, スターダストプロモーション' 16658, ロリータ' 2979, 暗黒' 13825, ケリ' 20336, ダイビング' 11235, おみやげ' 18272, お年' 21643, ｍｃ' 15633, 美顔' 8201, サクサク・アツアツ' 21634, たまねぎ' 19177, せつこ' 3528, びうやむやになりました' 18886, 絶頂' 11322, メーター' 17587, 久雄' 21667, ヨネ' 19679, びもひとしおなのかもしれない' 19505, デーブ・スペクター' 22151, オィラス' 21372. ●. 8316, ぐでっていうのはあまりないので' 8765, 出し入れ' 19665, 八卦' 18529, ゲリー' 11110, 務め' 11126, 率直' 4498, 接待' 4775, 思いきり' 17821, 内側' 7436, ウルトラ' 17174, 上司' 3547, 満室' 6699, 恵方' 21088, テレ・ベレーザ' 11895, タンパベイ・レイズ・' 20426, 400' 3272, 増' 8394, island' 12701, 大手' 2834, ソング' 9314, ディス' 16224, ハーヴェイ' 14517, いっぺん' 16216, 海藻' 5459, 井の頭' 3249, さん' 62, 術後' 16153, 実感' 873, 褒美' 7244, ロースト' 17394, アルクアラウンド' 22229, 大槻' 10945, 固定' 8373, ポーク' 15035, 置き去り' 3621, がらみ' 9708, ヒミツ' 12966, 71' 6692, バックオーライ' 11590, 仁' 3438, 雄介' 18611, ドラ' 2087. 」' 11834, ザワザワ' 17056, 願掛け' 20407, 迷子' 15868, okinahours' 19876, 気晴らし' 20111, 小田切' 14856, ジュリエット' 18463, 式場' 12653, うろ覚え' 11787, お祭' 11828, 先代' 10611, 閲覧' 2347, モコモコ' 18493, ヌシャーテル・ザマックス' 16246, 聖地' 10616, 夢見' 17516, 白羽' 10240, 不滅' 17551, 小町' 12822, 新米' 11870, 場違い' 17749, 忍耐' 8577, 交感神経' 12530, ニートパヒューム' 20262, ケータイサイト' 12215, 叙情' 3361, 自覚' 656, 蜷川' 14938, 花火' 1019, タイガー' 14460, エレベータ' 13918, 観葉' 9775, 2876082' 21999, 任務' 11865, タイヤ' 13337, レッチェ' 19786, ミキサー' 12576, 下校' 7374, 日焼け' 5783, ab' 21515, ラフ' 12803, ドライ' 2061, 保育' 1471, モヤモヤ' 14475, 由紀' 6448, 2013' 3736, 小室' 14364, 過ぎ' 7352, 豆腐' 12538, 認識' 5919, メルマガ' 3130, 男女' 921, アラフォー・コピーライター' 14551, 給料' 3376, ぬるま湯' 16503, セコ' 13604, 貞操' 20921, 格言' 17941, 雅史' 15246, 雄' 5334, ペネロペ' 6682, 対人' 11803, 掌' 19960, エミー' 20376, 栗原' 4450, けい' 16496, 192' 21730, つま' 10852, ちゃちゃ' 22504, セールスポイント' 10938, 靖子' 13747, トップページ' 10531, 光明' 22029, ストレッチ・エクササイズ' 8971, ジェニフィック' 19708, アウェイ' 6747, 友里' 10009, 中略' 8555, フェスティバル' 19635, バロテッリ' 6008, ロー' 1181, 座長' 11468, 特命' 13504, ベンチャー' 19357, 危惧' 10553, 心酔' 16754, イッキ' 18361, 占い師' 2427, 子宝' 2151, 敗北' 20137, 陸連' 10682, spot' 15880, 突出' 7439, フィルム' 7865, 特性' 2863, 魔' 132, 沿道' 2733, 宇野' 6912, 察し' 7405, sdn' 21196, は虫類' 3286, ニア' 23587, オト' 5157, わ' 15841, シビア' 3628, ジンクス' 7631, ささい' 17510, ほり' 10469, ドラゴン' 11719, 子煩悩' 22602, イ・デホ' 23642, パフォーマンス' 2517, 拙劣' 16968, 地雷' 11271, 道' 7188, 質問' 20, 容' 22761, 同情' 2958, papa' 16566, しれつ' 10996, グランプリ' 5018, 大津' 7420, お披露目' 669, ピアス' 11808, 校' 10851, テレホンショッキング' 17147, 凱斗' 18496, みりん' 19215, 漢字' 3567, 同年' 7617, 没頭' 12222, 混浴' 12366, 福' 20970, 混同' 20078, 強打' 12283, プレミアムライブチケット' 10949, 掛け金' 22566, エグ' 11912. 『' 19728, デーブ・ベースボールアカデミー' 15457. ）' 18783, 407' 20508, 明確' 2485, ジュリー' 14532, イカ' 9123, サクセス' 15101, 密着' 2988, 領地' 14674, 三つ子' 14233, 森島' 14308, 区切り' 11203, シリアルチョコバー' 14505, 柱谷' 9635, 目黒' 22853, 当て' 16914, 復' 22359, ラミレス' 7209, モーガン' 14119, バイセクシャル' 21291, 順風' 16402, 4016471' 17354, サヤカ' 21864, 大桃' 12856, 一郎' 6557, ジェイコブス' 20582, ゴンザレス' 4095, ジョゼフ' 10782, 蓮' 18036, 照雄' 12527, 栄養' 544, ヴィレッジ' 13024, 公営' 11134, 千明' 13680, 表層' 18827, magazine' 4164, 遊郭' 21306, ヤマハレディースオープン' 13529, ザ・ギース' 19927, 幸文' 23271, 晴子' 12438, クルミ' 8180, やかん' 19358, ビギナー' 18507, サッパリ' 13241, 西東京' 20232, 叱責' 7691, 美裕' 12733, 特典' 10008, ムキッ' 15114, ————！！' 19322, 便' 9045, 国男' 14071, 陣' 17810, 曖昧' 13479, エイリアン' 9657, 相槌' 15842, corporation' 1132, 美紀' 16469, ぎやはぎと' 15646, ママチャリ' 9666, fight' 6917, 著名' 4928, gackt' 20251, レジ' 10483, インドア' 478, org' 17246, 屈折' 17849, 嫉妬' 2208, 秀美' 23664. “' 6357, 雅美' 10221, リミット' 6954, 特長' 5876, 会食' 12487, 三塁' 16969, プロジェクト' 7657, 暗記' 18131, 側溝' 6235, ワンセグ' 9794, 首尾' 17298, 天海' 3663, テク' 12503, 上着' 19264, ポ' 11022, テレク' 19774, 夜這い' 21932, ハーフナーマイク' 7133, 身売り' 10746, 多趣味' 19069, ちり' 10642, ビンタ' 7634, 本誌' 21997, 引っ掛かり' 7755, 間柄' 2389, 辰' 8910, ひろこ' 19364, スタイリング' 11399, メルケル' 13144, ルフィ' 13383, 口説き' 9238, 学び' 7055, 安産' 13185, クーペ' 19405, ヨシ' 21639, バイオ' 2491. 「' 1663, 富山' 19923, 膝' 3002, 豊臣' 14679, 無風' 14779, フレンド' 8797, 普' 17213, 用紙' 19488, 検討' 823, デリケート' 3800, すさ' 21561, 食い' 2316, 窩' 11543, 息抜き' 4076, 旦' 18662, 平熱' 16802, 方' 270, リコー' 18418, 分' 1052, ポーカー' 12890, 行きずり' 18156, フォント' 18713, 成果' 4925, 豆乳' 11403, 広報' 7795, 金縛り' 21495, デマ' 18747, のどか' 21099, 奥沢' 20091, シュシュシュシュ' 13408, 党' 15657, 船越' 12773, ミュンヘン' 10824, 鞄' 11736, 自称' 3625, くさび' 21221, 予期' 857, 加瀬' 18238, ラドヤード・キプリング' 10412, 飛' 10351, 埃' 23115, 介入' 19845, 負け惜しみ' 13327, 光喜' 16047, 馴染み' 1560, ｐｒｏ' 15290, 家庭' 871, 鮫島' 13027, number' 23476, オタク' 474, 万里' 10392, ツインズ' 5674, 新築' 15372, 熟年' 8499, 深海魚' 22966, サディ' 23580, クラッ' 21074, モムチャン' 8957, chage' 14348, ｕｐ' 19525, 広' 6152, 印税' 5075, deli' 11710, usagi' 21177, 殺菌' 5515, 秀樹' 14446, マジョルカ' 15014, エイジングサイン' 17389, 決定' 3428, 柴犬' 6112, saintsfc' 13691, ldk' 15068, 社内外' 17995, 泰子' 9202, 横並び' 21674, 無駄' 1391, 自分' 8, ほとり' 15985, 丁' 17890, 2004' 4185, 560' 12548, 黒柳' 16665, 160' 7813, 手だて' 18386, 識者' 13585, ひも' 16189, もの言い' 8472, テルミ' 21882, 訴え' 6817, 尾花' 7208, そっけ' 9438, 高級' 1112, スイマー・' 10680, 期' 949, 信濃' 21445, 保健所' 22070, 梗塞' 20518, ダビデ' 15155, 断罪' 15664, い' 1946, ミュージシャン' 10780, 苦楽' 17605, ちょうだい' 2881, 七夕' 14111, ペ' 17095, 無表情' 14993, 頼み' 2518, 一部分' 17199, 立食' 18545, ガサツ' 23463, 1930' 15731, サヤ' 20215, 病態' 21734, バアーン' 22969, 賑' 9127, 本格' 1239, 痛手' 7149, ダノン' 22028, ドラガン・ストイコビッチ' 18078, キム・ヨナ' 12872, 去就' 12877, ストレージ' 20114, マウス' 16443, 友一' 17044, ファンデーション' 6991, 編み物' 22525, シタバタ' 1703, ツッコミバンクーバー' 13098, see' 8304, 炙り出し' 20212, 論外' 9773, 警察庁' 20154, 申し込み' 9146, エルシーラブコスメティック・ラブコミ' 22576, 滝' 10808, 網戸' 19443, 凡打' 21103, 得失点' 22218, 重傷' 5071, 援護' 12793, 須磨' 20775, 4400' 19391, にんにく' 14049, 伝統' 2054, ヨシエ' 3811, 鳥' 6694, 一人物' 22909, 各々' 11283, 1998' 14067, 旅' 3344, 打破' 13711, 知らん顔' 17695, 愛欲' 20474, 挑戦' 2268, 積極' 2969, 市議' 20069, 白米' 10651, 逸脱' 9663, 本家' 13531, ハレ' 7114, 忍野' 23213, 琴' 16044, 松阪' 15888, 秀平' 12299, ユベントス' 12880, スコア' 13543, 平坦' 14374, 迅速' 13914, ドリームオンアイス' 23471, グランパス' 6733, 仲良し' 5809, 当事者' 13277. 」「' 20132, 裟斗' 94, 鮮明' 15131, 具現' 7141, 126' 16929, 絹川' 2245, 大雨' 6646, 作中' 14744, 軽快' 16434, グランセローズ' 21442, 無策' 12626, 負傷' 1512, 赤字' 8187, クイ' 12295, えみ' 12150, オレンジ' 18350, 以心伝心' 12771, ボン' 15352, 生ビール' 14761, 粗暴' 19110, ロマンチック' 14908, ウインタースポーツ' 11173, イアン' 21819, 葉書' 22068, サンディエゴ・パドレス' 22174, メール' 1375, シンジ' 10713, ビール' 3411, フタ' 1791, 施行' 15893, 穴痔' 17776, need' 14205, うろうろ' 14090, 打撃' 7676, デーゲーム' 16140, マイコ' 7039, 人並' 9003, チェックイン' 9965, アイム' 21344, ——.『' 16996, q' 12138, 有閑' 12140, 落語' 13076, ジョニー' 21025, 待ち時間' 22135, 宿泊' 7193, レンジャース' 3754, パイオニア' 10321, 石器' 22817, 差し' 15918, 缶' 2867, 舫' 18689, 魅惑' 8944, セインツ' 13694, テロップ' 8236, 発覚' 1252, ムカッ' 3392, バケーション' 9341, 代々' 21987, ウィルソン' 23129, 暖房' 13215, 物怖じ' 9675, 666' 18717, 時差' 8329, 背丈' 21018, つて' 14379, リソウコーポレーション' 19588, 胆汁' 22025, ぉほぉ' 17489, ズッファ' 22482, ツォンガ' 18160, 口上' 8893, 示唆' 8378, 掛' 20573, ビクトリア' 10176, 和え物' 5449, オンナ' 3908, 吉祥' 23541, チェチェン共和国' 16262, 梅毒' 13928, 海賊' 17934, 日高' 14546, パ' 4273, 楽譜' 22325, ダイバー' 13641, 融通' 9570, 第一歩' 10583, 新陳代謝' 6352, 福利' 3370, キャバ' 3863, 脅威' 20882, 眺望' 18050, android' 22198, ソーシャルメディア' 15139, 赤松' 20395, 赤丸' 16164, 部外' 20747, prgr' 13528, 倍率' 10970, アルゼンチン' 7238, ラインナップ' 2159, クロー' 22620, 老婆心' 7970, 澤田' 9818, ハデ' 22110, ７月' 20777, 許可' 6755, 木星' 2468, あっち' 16999, コラージュ' 6286, 靖' 13948, 無学' 19932, フリッツ' 21685, 前々回' 18594, 栃木' 18440. ”' 13490, ちゃ' 11925, メールアドレス' 4889, ヴァレンチノ' 14894, み' 14443, 姉さん' 12078, 法的' 20153, 怒涛' 9752, 外角' 7168, ホスト' 1590, ゆ' 3917, 収穫' 6382, ドラマティック' 13999, カリカリ' 15026, コラボレーション' 21434, 遺産' 8487, べた' 11389, 匠' 6576, 枚' 1771, ワンプレートランチ' 21071, リプライ' 13761, のけ者' 13678, お釣り' 21604, シュワシュワ' 17118, カコ' 6179, igf' 6883, サー' 16704, 語学' 6363, コシノ' 17867, 偽装' 19107, 新年' 2583, フウ' 8013, 傾斜' 22776, 2003' 1707, 剥奪' 16248, 散乱' 9941, ドリュー・バリモア' 12398, 投稿' 8547, 宇治' 18599. 『「' 6595, 中嶋' 11303, 歓迎' 14527, 割増し' 18487, ビッグスワンスタジアム' 5213, フラワー' 16835, 憎しみ' 7551, 蓉子' 3274, 睡眠' 3190, 釘付け' 13988, ａｖ' 17214, レパートリー' 7918, 眼' 7214, 正治' 6802, リセット' 2069, 換算' 14202, キュン' 4489, ono' 21733, ウルフ' 14974, 口先' 21317, 出張' 6570, 根回し' 11216, ガールズ' 20094, カボチャ' 12095, 今岡' 22440, 真由子' 6036, 撤去' 22862, 北信越' 21440. 7960, さかん' 11166, 目の下' 17645, 武将' 14661, 翔太' 5632, 真相' 12145, 矢野東' 9138, キーポイント' 22762, 鎌ケ谷' 7783, 正義' 7662, get' 5718, 内部' 9345, partner' 16086, 不本意' 5060, かかあ天下' 21925, ファッショナルブル' 20179, ネガティブ・ツイート' 20618, バツイチ' 20973, 両面' 9507, 奏功' 21109, スワンレイク' 23470, 模型' 6100, 香山' 1935, サンタクロース' 6225, オフィスエムツ' 17247, グルノーブルフット' 13489, 規' 18602, t' 741. ！' 15074, レディ・ガガ' 16778, 罵倒' 16150, 川端' 12690, ワッツ' 10310, 七' 6835, 悲' 15224, movie' 23238, 家々' 15058, 岩塚製菓' 21986, 3083823' 17351, 坊' 4079, フロー' 4522, 良識' 18438, エストロゲン' 4083, 万が一' 9961, 亜矢子' 2794, かすか' 12993, propix' 11470, 相対' 3295, ソーシャルネットワークメディア' 11473, 内閣' 5737, アロマブレンド' 18842, 論理' 11715, 名作' 21307, 予防線' 17920, サン・クロレラクラシック' 20307, 極めつけ' 8929, 人形' 12699, 仁川' 14298, のり子' 3305, 浮き沈み' 15686, ikea' 18450, リテラシー' 4890, 田舎' 5706, 八分目' 21976, 暇潰し' 21521, 火付け' 14386, 遅々' 11021, 婆' 4658, ウソ' 4035, ラグジュアリーブランド' 20583, sweettv' 19645, tvcm' 7000, ハーモニー' 18399, 萎縮' 19971, 便箋' 17449, 店長' 11051, 耕司' 21154, シネマライズ' 18241, 窓際' 14871, ノースリーブ' 12739, アイディア' 9835, 予告' 6279, 絵の具' 14116, トリノ' 12871, 署' 21489, 里香' 4848, 手首' 6492, モロゾフ' 12517, ミ' 1074, ジャンプ・コミックス' 18873, ひな人形' 21090, モップ' 16849, 余念' 4936, 中華' 20353, ソニー・エリクソン・オープン' 20685, 穂積' 16622, 不調' 88, チョップ' 7650, 祐' 2851, 小指' 11830, 中高年' 6177, オススメアイテム' 20413, 宝石' 19555, 釣り' 13107, 転嫁' 12312, cp' 20159, 外村' 4435, 断定' 8239, とおり' 12526, 順調' 96, ミッチー' 19028, 宮澤' 5022, 番頭' 18371, コーナー' 97, 納会' 6307, 難点' 8433, 線' 5728, 高大' 21598, 骨盤' 355, 26' 530, blog' 8704, 廊下' 1411, アーチェリー' 12327, 条' 12852, 歯止め' 13513, みちこ' 17633, キーマン' 56, 失策' 3542, 絶対' 362, 繊細' 3997, アブダビ' 21389, 隆起' 12177, ついで' 618, りか' 6284, まさこ' 4055, スモーガスボード' 18558, 信二' 18039, 29' 405, ウィンドウ' 371, 急病' 18034, 52' 6577, ソチ' 10513, 前途' 16242, 廃止' 6295, お化け' 9108, ネェ' 8925, プライベート' 394, とろろ' 12578, twitter' 4294, ハイキング' 20584, 早め' 2922, グリーンウェル' 15542, セクシャル' 18476, 金賞' 15120, パン' 2414, 議員' 2554, 欧州' 6029, 診察' 4321, 解説' 146, 入門' 9671, 津' 23221, ソツ' 21191, ムダ' 645, 高等' 17652, シール' 18661, 3432' 1039, 美浦' 20722, ゅわっと' 19211, ——. 2509, ユニホーム' 2079, 潮干' 23002, コロシアム' 14140, 東洋経済新報社' 3352, 香里奈' 20958, 志野' 11807, ウルトラマン' 18255, 難航' 10096, 未希' 10097, 最新' 1743, real' 8206, 馬' 2442, iska' 19829, 安全' 6254, 新宿' 1636, 屈託' 13639, ファインプレー' 15318, 引責' 11336, ベルサイユ' 18308, 液晶' 11474, ビバヒル' 19382, 曙光' 22789, シンガー' 5021, ロマンチスト' 9509, スピーカー' 19719, 絢子' 23623, 説' 8721, たま' 2861, ツッパリ' 17572, 法大' 18939, 聞き上手' 8516, 果物' 5430, 法事' 6157, 終身' 4341, 狂言' 3886, 製薬' 8120, ニャン' 19065, ウィン・ベリー' 10207, カ' 17374, 対面' 5269, うわべ' 6316, デコーレーションケーキ' 9759, ぶり' 1351, にきび' 12970, 番狂わせ' 16489, 子持ち' 3648, バルテズ' 15627, リタイア' 10385, 援助' 4562, アットホーム' 18206, たっぷり' 3989, 妻帯' 10726, バランス' 1231, 美優' 15798, 押し売り' 20942, 熱' 266, 危機一髪' 18906, ほうび' 11768, 蜜' 10634, 199' 21551, 非売品' 11712, （. 2437, デンマーク' 9261, 保温' 18069, ルカ' 19059, 皮膚' 4030, マイル' 16115, アプリダウンロード' 22840, 使い方' 4122, 教則' 22567, 部類' 9497, 義弟' 22432, スイッチ' 9229, お姫様' 1069, おつき' 21769, 巻物' 18341, 吹石' 5013, 気仙沼' 14806, 友達' 496, ｖｔｒ' 15303, 祝日' 5333, １２月' 21989, 団体' 5652, 非対称' 18675, 簡単' 2441, 80' 2763, 心療内科' 5821, 快適' 7892, リツイート・' 20626, モテ' 1274, 一同' 9548, かなえ' 14185, 暗転' 18426, 期限' 7037, 捜査' 11088, ひかり' 18107, 眞澄' 3807, 師弟' 13868, スーパールーキー' 20402, 裕樹' 17365, コッパ・イタリア' 15758, 石畳' 15356, 登' 15959, カモミール' 17991, 請求' 12858, 免許' 15584, 打順' 10936, クルマ' 16116, 発端' 12859, フットワーク' 20018, 放し飼い' 3281, 少女' 1690, 認可' 22546, 未熟' 1934, 造形' 13481, 有志' 22063, イーサン・ホーク' 14537, 戦後' 3739, の' 2, ワガママ' 9568, 所見' 7979, 梶谷' 16967, ぇよ' 18732, カーター' 23325, 花婿' 16827, のび太' 19894, 惟' 19453, か月' 11375, 直接' 3494, 再発' 8823, 雨宿り' 5335, 手始め' 14824, 奮起' 23233, 1300' 15526, 飄々' 19239, 絢爛' 21303, ドレッシング' 8118, 媒体' 10115, 山と渓谷社' 9669, 主体性' 19966, 自己流' 11448, nack' 9295, 腫瘍' 20645, 並々' 20863, ホント' 3395, アマ' 2358, 武蔵野' 15575, 流出' 10529, ペールワン' 17083, 浅田' 5277, ダシ' 5447, ダイヤモンド社' 6926, 遺言' 19812, 判別' 7067, zoom' 15331, 祐希' 3624, 気前' 19762, 生' 4271, 装備' 11485, 枠組み' 10159, 有職' 11563. 』' 8959, 同伴' 18557, 戸籍' 11270, 酒量' 8274, レディス・チャンピオンシップサロンパスカップ' 21978, 台頭' 5122, ユミコ' 17706, クロスボール' 19785, 小中学生' 12164, 痴漢' 17392, デカイ' 11101, ロサンゼルス' 5547, 小森' 15236, 奪還' 21413, ヨハン・サンタナ' 3468, ヴォルフスブルグ' 14580, キャッキャッ' 23050, dk' 15070, 才能' 1209, クリンチ' 14918, 高齢' 6523, パンクブーブー' 14146, キター' 10957, ラウンジ' 23111, 魅了' 10930, 怪盗' 10619, 笛' 8460, この先' 20520, ザッケローニ' 8492, 銘' 13263, リン・ビッチ・バイロン' 17166, 靭帯' 17974, アンコール' 22413, 由樹' 16305, カフェイン' 14207, 胆のう' 22500, ライフ' 487, 王座' 7759, げ' 11371, 跳躍' 5557, ムショー' 21223, ホテルオークラ' 21231, インセプション' 10783, 結花' 20844, 指宿' 9266, ハチ' 22520, イングランド・プレミアリーグ' 21849, あいつ' 4897, オグシオ' 7387, ひけ' 18106, 挙句' 5695, 下降' 12806, 水木' 19895, 採血' 16650, ベン' 12389, proud' 22707, tweet' 9808, これら' 1432, 点在' 9329, クラシック' 14336, 小松菜' 8136, ユミ' 11735, 誘い' 2639, 果歩' 5261, 133' 11537, 連射' 11494, テコンドー' 14721, 痴話' 22954, 色鉛筆' 15870, みどり' 12900, スリル' 9439, 無心' 14489, 普及' 7589, 愛川' 15578, 頸癌' 3801, 一宮' 19025, 読後' 16322, 森泉' 14180, 価' 14501, クラブハウス' 13521, 八百長' 3482, 伊丹' 21640, 早々' 14913, マンサンコミックス' 3337, 言語' 7543, 悔み' 21980, インフルエンザ' 18032, 人当たり' 19355, 雑' 11121, 非常時' 19298, 美月' 17753, 検閲' 20641, 標識' 18100, 変則' 23149, 造語' 13540, 武史' 1238, 保奈美' 17319, 袂' 10098, いらいら' 12976, ｗｗｗｗ' 17955, 松岡' 7830, ジェシカ' 4931, 底上げ' 5212, みょうが' 3049, 就職' 3142, 抑止' 18643, 歯' 2327, 直面' 3770, 東海大学' 18190, 技術' 2436, ドカ' 17123, プレイボール' 9235, 佳' 5102, チャート' 14350, チリッチ' 12480, モーリス' 12220, 既存' 13722, 君' 3878, 増大' 7958, 利' 6337, 光恵' 6403. 3798, 中堅' 6375, せき' 12657, ひび' 21420, ぃいいいいぃっ' 15225, ８月' 3086, 亀田' 7748, キートン' 13250, 最強' 4857, 倒壊' 21043, 鰻' 21803, 同率' 16893, スカルプケア' 20742, だらけ' 2352, 間違い' 1463, スカルプエッセンス' 20743, マサ' 4734, 作品' 1733, ホリー' 21048, 部課' 22644, ヒーリングスポット' 23210, 努力' 916, 佑二' 6140, 小さめ' 21063, びわ' 8836, 高根' 6971, ピアフ' 19155, ざっくばらん' 13683, 下世話' 7059, 知的' 9471, 誤報' 3493, とことん' 15205, 広告' 4158, マウロ' 19784, ケンタ' 21635, ニキビ' 11413, ごはん' 2413, しがらみ' 14085, 原田' 8626, デキルオンナ' 16051, 親思い' 21325, 俊介' 22613, モムチャンダイエットストレッチング' 8965, つや' 8544, スタッフ' 3175. ／' 21315, コンサルタント' 21316, ヘルスケア' 20313, エミリー' 12688, デイブ・サロコーチ' 17838, もん' 962, 追い込み' 14219, 真面目' 3556, 悲願' 7392, 離れ' 1957, ふたつ' 833, 思い出' 5403, ドカドカエレベーター' 17704, 今どき' 2885, 医者' 612, 第一線' 4839, スポーツマンシップ' 8813, ｓｐｆ' 13394, 身軽' 14697, 京太郎' 16905, 飲み屋' 15691, エンジェル' 8538, ぐちゃぐちゃ' 14934, 家' 20987, 立候補者' 17154, アドバイス' 1378, 飢え' 12347, ディーラー' 16380, 優樹' 12077, 効力' 19598, 日傘' 12319, 3190186' 22005, 概数' 20879, 位置' 810, 吹田' 15890, 富士宮' 20686, 男子' 995, モバイルマーケティングデータ' 13751, 名残' 7708, 改良' 7160, 江古田' 21125, 4096438' 17353, bbs' 16881, 腹' 4777, 透明' 4553, クレメンタイン' 23051, 反則' 23565, 劇場' 10210, 三倉' 19419, 新保' 10110, 不協和音' 14749, 投機' 21766, ソープ' 17145, マリネ' 21789, 総合' 4241, 仕方' 1745, コブ' 19731, スプレー' 5594, 西岡' 5688, カルシウム' 10482, 1983' 21194, しようが' 2380, 岩盤' 6472, 決まり' 5408, さっき' 1350, ぁいう' 21377, 脇腹' 4088, 皇' 11632, 最寄り駅' 11208, 熱気' 13037, 吉' 4535, 和宏' 13655, 少林寺拳法' 21462, 送りバント' 4099, 大き目' 21067, この世' 10300, アネゴ' 4069, 放射能' 13033, アメリカン' 16821, 曲' 7911, 労働省' 3309, マサシ' 4713, 股間' 6771, 完' 22888, 複雑' 1265, 横ばい' 15561, 不意' 15849, シュヴァインシュタイガー' 13142, 天ぷら' 7266, お寺' 2596, 飯塚' 23184, リモコン' 9960, 穀' 8123, オフィシャルブログ' 1047, クラッシュギャルズ' 22619, キャピキャピ' 23005, 小陰' 19121, ——”' 18524, 39' 3601, 小椋' 7389, ボンボン' 20669, ところ' 257, 反感' 2171, 1800' 5829, 評点' 20853, 江畑' 9744, 女神' 10630, 茶室' 20988, ワンツー' 4005, タシュケント' 21860, 腹部' 18588, 恥部' 22920, 人参' 8165, ぼけ' 15196, わか' 21163, ジャマイカ' 22763, 訓' 15005, way' 13367, ユタカ' 18693, たくさん' 280, 裕紀' 3498, 歪曲' 19251, 処方' 3777, ひと' 6933, 970' 20515, シゲルリジ' 14852, 悩み' 1711, 暴れ' 5691, 忠' 4369, プロスタグランジン' 19699, 滋賀' 5946, ケルン' 14830, 宇賀' 4174, スゴイ' 4723, 私服' 5079, アイポン' 18300, コンスタント' 3204, 枯渇' 16578, まさよ' 16096. 「' 19706, 章' 2512, おの' 21736, 身長' 4727, アラフォー' 3675, エレメント' 18016, メガネ' 316, 桑名' 5963, メス' 7207, 明治大学' 222, 経験' 226, あこがれ' 16004, ハート' 5641, 自習' 7453, ムービング・コミック' 15885, 汁もの' 22869, venus' 8205, ノマドワーキング' 9608, デス' 3315, 性差' 7802, 主演' 4542, co' 6856, お宝' 19070, 村主' 2516, モバイル' 6091, ティラピス' 22855, レオノワフランス・ニース' 17932, 葺' 23203, 冒頭' 1153, ことし' 15311, 瑠思' 21694, ハラスメント' 15822, スタンディング' 22043, ニコチン' 22357, デジタル' 6312, 流動' 12192, 耷' 9676, 脳症' 14759, 岡島' 22703, シリア' 9630, 哀れ' 2826, アレルギー' 3253, 行きつけ' 11401, 知識' 2697, 止め' 6998, ブルック' 11109, シゲルシャチョウ' 14884, アイスランド' 9798, ｐｋ' 20075, 気軽' 972, ミート' 2893, 共同' 12459, 死別' 16909, 川勝' 6820, うつ病' 12460, 寒暖' 16722, 病院' 1796, ヒロミ' 555, 弁護士' 6565, スイート' 10596, ツユ' 7251, におい' 4314, チャンピオンシップ' 10264, 戦意' 6878, 芸能' 1555, 微力' 17260, 奥寺' 17975, 680' 3958, 侍' 10606, 昌美' 15577, 専' 14392, もめ事' 22686, ファビアナ' 5017, 後々' 10024, 日照り' 18018, 隠し子' 8736, ミホ' 10081, カルチャー' 5631, 通文' 20717, 浩幸' 17759, 休日' 480, ict' 18750, 連携' 5211, 噂' 1634, ポカーン' 11952, ばいいん' 8199, クライアント' 12410, 小次郎' 6125, かけ' 7673, 手持ち' 896, 以外' 436, コレクターズ・エディション' 21396, 部門' 5141, 松村' 4086, 当たり年' 12606, ウィキ' 16508, 汐留' 20497, 通い' 12537, ワセリン' 16614, 上絵' 16718, シロー' 9948, 内気' 11210, 検' 22945, 花見' 1383, 美沙子' 17481, ジャンル' 2978, やみ' 19892, 末梢' 18729, 所在地' 11989, りつこ' 21678, ばか' 15663, 丸み' 4034, 唯一' 1919, ページ' 519, 疑惑' 11077, king' 16249, 本能寺' 14667, 高輪' 14780, 北アイルランド' 23414, アダルトビデオ' 7318, ゆみこ' 18888, 詩' 8539, 精悍' 7950, tef' 4965, イトウ' 21983, プレイメイト' 10838, 日曜' 15642, タバコ' 2866, ゃり' 21729, フレドリック・ユングベリ' 16073, 毎週' 8649, 喧騒' 9361, 内の人' 23546, エトー' 14819. ■' 12684, ガラス瓶' 22328, 高め' 3751, 急速' 13563, スウェーン' 2926, 消去' 18132, トータルファッションブランド・サルバトーレ' 9998, タツヤクン' 11955, 半分' 3829, ドレスアップ' 11769, 青空' 17542, 酒癖' 1642, 大鍋' 17896, した' 980, 醤' 19163, 絵里' 6149, 鑑賞' 7107, 現役' 2504, ダブルヘッター' 11894, サヨナラ' 4110, あらわ' 12472, 腹持ち' 13173, 湯のみ' 21806, 対応' 1752, 初っ端' 16173, 最小' 12237, ベクトル' 16985, トシ' 11953, 180' 11097, 中枢' 12529, キョンキョン' 3634, 遊び心' 14037, jj' 2201, 早足' 21491, ごたごた' 19312, 搭乗' 15971, カップ' 2047, ミドル' 13360, 茶会' 20975, アイクリニック' 20381, フィーチャリング・ブランド' 19619, 親戚' 2606, クレール' 11332, プール' 1108, しのぎ' 10984, kcal' 12250, ダルビッシュ・キラー' 12302, 一敗' 5052, 迷路' 15464, 少額' 5400, 全豪オープン' 10177, 真澄' 1758, ヘアスタイル' 4796, 手際' 19209, 長年' 3913, ポンサクレック' 7749, 空欄' 23012, ひた隠し' 18295, 相棒' 9220, カッコカワイイ' 22901, ｆｅｇ' 10550, オフィシャルホームページ' 20996, あそこ' 2549, 浪花節' 22499, じゃがいも' 15963, 有楽町' 15990, ミオパン' 19317, 朝帰り' 20492, 自制' 19691, ガールズトーク' 11273, テン' 15208, 従兄' 23558, ギャル' 9409, 大敵' 1974, 293' 512, 疑似' 9626, 新居' 2983, 法則' 4918, クミ' 768, 再来' 8578, gallery' 15422, 内科' 4464, キモカワイイ' 17913, 秘策' 22442, 加湿' 10640, 秋葉原' 10943, 法政大学' 23029, 百害' 17344, 證願' 15902, 少数' 4892, 酢' 17687, サブカル' 9021, グローブ' 5697, ハローワーク' 19480, 2200' 19402, 特別' 5097, プロフ' 19072, 玲' 16735, そっち' 4410, 幸司' 17609, 諸見里' 15095, 素人目' 10521, 進級' 16983, 医務' 7985, 欲望' 4000, 憂い' 1790, 都心' 6479, 定義' 6963, 激戦' 2131, コバルトブルー' 23041, 配給' 1737, 納棺' 15127, 喜' 19508, 臨月' 7090, 影武者' 19026, 部位' 13113, 秋' 16956, グラフ' 13664, 大腸' 9035, フェイシャル' 13219, 勤続' 18397, 長短' 21959, 目録' 8872, アルガルベ・スタジアム' 13765, 夕日' 18904, 進捗' 19291, 鹿島' 22505, 人工' 5572, 膜' 3783, ニュースサイトチェック' 19689, 率先' 6804, ニッカンスポーツ' 12603, 和夫' 20908, きもの' 19981, 風向き' 7118, ブロブ' 11312, インストラクター' 4621, 友香' 14437, 局所' 14410, ・アンテプリマ' 13775, 電線' 19524, サンジャポ' 16404, 一線' 14928, 筋合い' 17328, うた' 17501, 披露宴' 3999, より目' 13754, お呼ばれ' 11585, ょうあきら' 9694, ホンダ' 4298, end' 12768, グループ' 73, glow' 3644, 大卒' 7870, 夜中' 9922, モリモリ' 5416, 稼働' 16072, テイク' 20217, 地図' 18442, 合せ' 6597, 楽' 1249, むようなことはしてはいけないんじゃないですか' 18805, point' 13539, ロッテマリーンズ' 15322, パブロフ' 18682, 各紙' 17284, 初め' 1145, 強制' 13854, フローリング' 19887, 医薬品' 15084, 服従' 9519, ジョゼ・モウリーニョ' 14997, 確か' 774, 手みやげ' 13850, テンキー' 11499, モヤ' 3905, プランニング' 12512, 資料集' 15174, 智則' 21994, モデルチェンジ' 19390, 一休み' 7091, 小娘' 17314, シナ' 20761, チャリティー' 2108, ボート' 6790, 中畑' 12631, ！″' 20690, 麻酔' 22897, タケル' 7365, 花田' 12592, 能動' 18917, 語録' 1681, 前田' 8415, 語源' 3730, 商業' 5968, あちこち' 5971, 浴衣' 11820, 自転車' 7344, 姓' 19814, 予測' 8435, 杉田' 18998, 登板' 2530. 」. 10592, 流儀' 18555, 鏑木' 23152, 誤審' 18218, 対照' 1695, 灸' 16400, 南京' 12762, ｔバック' 1314, 過保護' 20892, センサー' 18134, 入' 18049, 若手' 3522, タイムリー' 2805, 消防署' 20238, 釜山' 13207, 当日' 5935, 乱暴' 15689, カレンダー' 12647, winter' 16190. 〇' 12648, つけ' 16843, 体現' 10736, お前' 295, 真っ裸' 1343, 知らず' 3094, 難儀' 11740, お過ごし' 477, 簡略' 6521, 解析' 7512, 尾田' 18867, 征子' 20913, 帰省' 10432, 三食' 9051, タッチアップ' 21664, 年収' 3183, モラトリアム' 9477, コミットメント' 8597, 予習' 17152, 田島' 15518, 袴' 22697, 口コミ' 13188, 遠回し' 12826, 翌日' 673, アメーバブログ' 15104, デートツイッター' 20919, 白雪姫' 20974, ティッシュ' 309, フルスイング' 6650, メンツ' 18632, 空港' 6808, アピールプレイ' 23181, 内装' 16690, 谷' 2137, 貼付' 22329, アトピー' 10652, 運用' 3300, スノーボード' 11164, 孫娘' 4652, グッドルッキングメン' 18482, 早口' 14583, すべすべ' 12716, コンパニオン' 21768, 重力' 16022, ケネス・ブラナー' 22224, 奇策' 17131, 教え' 14991, ピーター' 11433, 興' 7754, 好意' 6062, 「◯◯' 19601, 近隣' 4261, 侵害' 20152, 囲碁' 13089, このごろ' 15566, 千春' 6066, 和代' 22213, 拓殖大' 13376, ボーフム' 14821, お互い' 951, 11060809481' 18089, 食費' 8195, 靖国神社' 9104, 手当て' 18652, 選出' 5042, ーナイス' 3021, 親孝行' 1951, パラペンフリー' 5748, 大統領' 3269, 場数' 10271, shukujo' 14429, ２つ' 802, セカンドハーベスト・ジャパン' 15834, アフリカ' 6209, うんぬん' 1297, 洗い物' 12391, 蕎麦' 7275, シェフ' 17459, paylessimages' 1365, 岳' 20141, 親睦' 15321, ハード' 1652, フェルプス' 21981, とったり' 16448, 御の字' 22185, 藍子' 14903, 178' 7807, detail' 6959, ぃあら' 17518, 国民' 1554, 予備' 1808, mri' 13784, ツレ' 12451, 気合い' 6259, 同姓' 4769, ギョ' 21785, 客' 4771, 伊野波' 11450, naver' 20905, 先祖' 2589, 公卿' 4801, 川越' 18398, 物議' 3923, 乾' 7779, パンク' 14148, ソウル' 12597, 酷評' 7030, 底辺' 23252, 少食' 17574, 火山灰' 16711, かね' 15661, ざなりにして' 7105, 義雄' 21003, 多様' 10285, 愛工大名電' 18224, 成分' 5775, 牛' 15931, ガッチガチ' 22158, 集金' 2123, プリン' 20007, 百合' 12676, 扶養' 18784, 遠方' 6223, ——（' 11338, 自炊' 4391. 8290, 点' 551, アン・ハサウェイ' 18227, センチメンタル' 8788, ワイド' 12585, マーリンズ' 15545, 衝突' 9523, 桜餅' 21080, 絵理子' 22533, 宇多田' 14345, 桂子' 7941, ドッグヴィル' 16295, ギャンブル' 19100, ポーチ' 5634, 出発' 12089, サプリ' 16638, 純二' 13877, 単行本' 8665, フック' 16623, ツヨ' 13667, ラブレター' 21595, 玉' 9129, ・フリスク' 19612, 拒食' 22951, お巡りさん' 23000, ウィン' 10211, 表れ' 11587, 小塚' 4018, 由理子' 5654, くしゃみ' 11610, ヨリ' 8003, サンフランシスコ' 19933, 完済' 10244, バター' 6609, ツキ' 4920, フェイク' 5455, カニサレス' 7223, 美意識' 12802, ぷるん' 8571, 隣接' 12003, 青春' 974, 遅刻' 6965, 人権' 2334, 落ち込み' 4902, 野望' 13872, ヨーグルト' 2795, おじいちゃん' 16871, 苦悩' 2357, ワシ' 23477, ギャン' 17656, ビンゴ' 21166. 『' 18872, ハゲ' 15687, 隠れ' 8060, 途上' 6227, ハネムーン' 9213, 投打' 20833, 悪事' 11342. 1333, 選手' 136, 応接間' 7194, 玉砕' 18697, 社団' 8285, ギリシア' 9350, 一蹴' 2408, アクエリアス' 18112, ダマ' 21161, 走高跳' 11855, ダルビッシュ' 1053, シウバ' 7685. 「“' 9972, ウンザリ' 3391, 大昔' 2599, 紀洋' 4098, 他国' 14851, 車内' 8242, 砂漠' 18770, 片岡' 10291, 教師' 12563, 面白' 9452, 半額' 19102, ビーズ' 892, 意中' 10857, 鎖' 5041, 「○○○○○」' 20637, ボランチ・ボランチ' 20142, 飼育' 3276, 筆者' 901, 文藝春秋' 7594, 開き' 11559, 薫' 321, ガリ' 22394, 59' 2791, 最後' 1190, ビハインド' 23559, ダイコン' 7293, ねぎらい' 3611, 同級生' 5735, 粉' 10942, ボディコン' 23032, 例外' 10051, 美輪' 6146, ペ・ヨンジュン' 22296, 通称' 7384, 終止' 13364, 23' 5, 闇' 10187, ぎてどうしたらいいか' 17856, 千佳' 23545, ダイエットシェイク' 1858, 重心' 22172, 溜め息' 18347, 相づち' 17820, タットリタン' 15521, 釈然' 23569, サンケイポーツ' 8685. 」. 5644, 付属' 6746, 特段' 17944, 足踏み' 2355, ベスト' 812, 軒先' 3092, 観念' 16457, 便意' 9030, 末永' 18007, エチケット' 12730, フェアリー' 16080, ボクシング' 4214, アフター' 14927, エビ' 5958, 婉曲' 18808, カオル' 6127, そこ' 439, ノータッチ' 9565, 小野' 17946, ドキン' 9557, 猫' 709, 骨' 4080, 辛らつ' 15541, how' 22574. 714, 高田' 14729, キュンキュン' 11424, 犠牲' 14477, nifty' 2432, 臼田' 14436, 増田' 23567, 陣営' 10090, 臆病' 14389, ツーリング' 21258, 新雪' 10493, 池袋' 3814, インタビュ' 22924, ボタン' 11664, チャンネル' 14735, 涙声' 8018, 炭谷' 23635, 横断幕' 13820, ヒトパピローマウィルス' 22147, 卵胞' 4085, ラファエロ' 15166, 加点' 19992, ふじい' 4057, 追及' 5942, 瑤子' 23622, とも' 4895, コンドーム' 11920, キッカケ' 737. 『' 10591, 錦織' 534, 津軽海峡' 18217, ツナ缶' 20592, ｄｖｄ' 476, 既出' 17721, cvt' 16382, 一心' 4912, キリギリス' 23031, 太もも' 12794, 鹿' 19527, 仲介' 21738, レビュー' 1120, マリオン・コティヤール' 19158, 製菓' 21992, ホラー' 5359, 独壇場' 22111, ディスプレイ' 5410, さりげ' 5655, ）. 23644, 物好き' 6110, 宛' 19771, ブレーク' 12466, バクテリア' 22129, マリナーズ' 4175, ラブシーン' 22590, オネショ' 21471, 申' 9154, 熟' 6602, ウインター' 20287, 主宰' 13968, 太極拳' 20732, 非課税' 15386, dxdx' 1574, 補填' 22859, 撃' 16205, シリコンスチーマー・ユーザー' 17681, 学力' 20206, 尾崎' 20368, シフト' 4617, 喜怒哀楽' 10982, 美恵' 8357, 厳選' 5406, 月下' 18834, 夜景' 18651, 株式会社' 3543, メル' 8679, 乳液' 17144, ヤクルトスワローズ' 15325, 歴代' 8618, 打線' 2831, ローレンス・オリヴィエ' 22225, 暗証' 23592, 予行' 11267, ドット' 13248, 転送' 12009, 館内' 9388, 杉本' 7417, title' 21206, デート' 444, 付近' 10491, 高畑' 17813, 投' 15509, 配置' 839, 伯母' 2626, 女物' 19949, ひと晩' 23095. ⌒‐⌒)」' 20496, 祖父母' 2630, 次第' 2894, 横浜ベイスターズ' 2082, がんじがらめ' 17150, 積和不動産' 21218, 中退' 22057, 暗中模索' 14560, 小言' 3369, いっさい' 8654, 身内' 6394, フィットネスショップ' 23358, 痴態' 16037, デザイナー' 7257, 梨恵' 18746, 雄三' 6171, プレゼンター' 9812, 苦味' 14926, 適切' 3630, 召喚' 22347, 出来心' 19950, 引用' 1942, 富士通' 10689, 道端' 4913, 才覚' 9847, オッケー' 18547, 絶叫' 10168, 顎' 6985, 全盛期' 6053, サプライズ・ゲスト' 22503, 翌々日' 22610, 良三' 9303, 豆' 2858, ここ' 152, ガサガサ' 1896, ブツ' 11407, つもり' 245, 和正' 12987, 六' 2365, しっくり' 20341, 打率' 2840, 新種' 19468, 土井' 10692, 発電' 21041, 大雑把' 7872, 小粒' 14783, 放置' 2980, 2012' 1647, 同数' 17732, 因子' 3764, リョウ' 11949, 急落' 22361, 予選落ち' 13644, 自嘲' 11044, 華奢' 4543, 海水浴' 569, モバゲータウン' 22471, ♪●' 7446, 自在' 3492, 伏兵' 15254, 地上' 7302, 音' 285, 梅干' 21794, ノーマル' 9521, pr' 1867, 間隔' 14414, 混戦' 22426, eventatnd' 18630, 夕陽' 23400, 雪山' 11172, 青木' 11652, 銀色' 11795, 帆足' 18881, 適度' 8214, 知宏' 8749, ビミョー' 13320, クリップ' 20086, 選挙' 10687, ドルフィン' 14403, 発送' 12669, 除去' 23349, 若菜' 18124, 剣が峰' 14126, 存続' 13028, 代目' 10631, 装い' 11504, 一報' 16180, 弱' 3678, ネカティブ' 19753, キャメロン・ディアス' 13164, 一直線' 11931, 和幸' 13578, マリ' 11333, 身近' 4733, バンギャ' 15210, 父性' 11682, 草取り' 17251, ビジュアル' 7904, 1700' 15377, ミスタータイガース' 20578, 流れ' 1346, 意見' 379. 2642, 樹立' 15576, 短文' 16059, チキン' 9882, ウル' 20382, 提言' 13723, 冷暖房' 15330, たばこ' 22356, 松雪' 9217, 作業' 4577, 余命' 4960, dream' 6892, 頭角' 2454, 貴乃花' 12587, お預け' 18715, 僧侶' 6518, 死角' 17226, パク・チュヨン' 14573, 健生' 19776, 親分' 229, プレーオフ' 13647, 入札' 13546, 負' 5801, パトリック' 10220, 支度' 11012, コーラス' 12144, 開運' 11801, 女系' 20889, サユリ' 16551, 金品' 23518, カエデ' 19913, 衝動' 4923, アフレック' 12390, 紛れ' 13786, 寂寥' 17231, ざら' 19695, roadshow' 23237, 母親' 510, 処女' 4308, 苦渋' 5039, 照準' 1847, 浸透' 2905, 内臓' 1975, 予知' 16472, ゆえ' 3520, 奈' 14770, 得体' 683, 娼婦' 18779, 宙返り' 5554, ヤブ' 23307, ロット' 6910, 勉強' 4611, カミソリ' 16458, 国外' 12158, 久仁子' 7197, ——.■' 10754, プードル' 3271, 三冠王' 8416, ライトアップ' 22845, 槇' 22318, 東大' 20244, ト' 6109, 娘' 1955, ブルネイ' 23407, 風潮' 11359, 岐路' 11196, 達人' 4500, 神宮球場' 15327, 産前' 2973, 年来' 6580, 不屈' 10924, ″＆' 17875, スリム' 8271, 金属' 18711, アドバンテージ' 17567, 整備' 8466, ブラジル' 3031, フライト' 18333, 立浪' 18026, アレアレ' 19042, 月間' 22586, 綾部' 22021, ぐるみ' 7601, 薬学部' 23387, 対等' 2353, ウオッカ' 19003, 大国' 9240, 克実' 5220, 仕入れ' 21975, 氷点下' 22127, マスミ' 10060, 山梨' 21412, 里江' 10389, バイタリティ' 14113, ずみ' 19500, トピック' 19720, 宿題' 7369, 21' 2812, 災害' 1930, 海野' 21308, ヤギ' 3240, バブル' 1003, 数多' 6780, デイリースポーツ' 16223, 冷夏' 23201, 親身' 16645, 本名' 15211, ｗｗｗｗｗｗｗｗｗｗｗｗ' 16068, マイ' 2788, 地帯' 652, いちご' 15280, アンタッチャブル' 21271, 58' 14017, 陰部' 17139, すし詰め' 17693, 余談' 4481, 喪服' 11598, コギャル' 23038, むしろ' 17110, 傷口' 12474, 賞金' 1640, 法医学' 7968, いぬ' 22632, 額' 3206, 端数' 17433, 明け方' 21469, クニ' 22454, 音楽家' 21661, ライセンス' 16251. 20691, ショーツ' 15791, コンサート' 6174, セーフコ・フィールド' 4184, 金平' 16405, 手製' 11282, 大関' 12588, ケン' 8509, 義明' 23548, コラーゲン' 5746, shibuya' 19628, 幸せ' 419, 贈り物' 8680, 浜松' 8157, 先行' 7171, やり手' 23332, 国家' 2925, ストーキー' 20911, スパイ' 22908, ミスコン' 17250, ワード' 8193, 苦しみ' 1665, ャルヘルスケアショップ・エルシーラブコスメティック' 22589, ビジョン' 10258, バタンキュー' 22450, 古代' 9351, 層' 2168, ショウゲート' 7101, 島' 8080, 登坂' 18642, 清らか' 8056, カク' 7837, 型破り' 17085, タンパク質' 5432, 歯医者' 18977, ピーチ' 11548, 昇進' 9863, イノシシ' 16087, テイスト' 9393, ピッチピチ' 9672, 年' 367, 年々' 973, ぎん' 6709, 同期' 4491, 末広がり' 8903, 人格' 7104, 無得点' 5192, 駆け落ち' 9434, 英一郎' 12769, 粉末' 10655, 密か' 8497, 一夜' 11637, ブライド' 18569, 潔癖' 18922, たけ' 23555, ソー' 21343, 代用' 19054, 軍団' 9444, 甜茶' 15073, 根負け' 8402, 紫外線' 5767, スミマセン' 10402, シゲルセンム' 14857, 線引き' 1452, しのぶ' 15096, バッテン' 18163, 辺' 9292, 暴動' 13832, rss' 20116, テクニック' 4207, 頭痛' 9028, サーフ' 5653, ジョセフ' 18231, ゴーヤ' 3098, トレー' 4793, オオタカ' 19521, アクティブ' 434, 音波' 17872, 入寮' 7784, 不在' 6729, 平凡' 3427, 金田' 9408, 床の間' 8889, プリマ' 8037, 6463' 20222, 固まり' 17769, ファミリー' 7373, 魔球' 11622, ミステリー' 18801, 60' 6169, スクエア' 18145, 御嶽' 4472, 反古' 23594, 鈍感' 5587, 日本長期信用銀行' 21764, カーリング' 12756, 自由' 1058, イラストレイテッド' 14123, オーバーエイジ' 18601, タトゥ' 19014, espn' 13935, はじ' 19328, 表' 6635, 次回' 3342, 吐き気' 14056, 温存' 8368, 惨め' 8388, チンプンカンプン' 17579, レッド' 8306, 決別' 14590, 望み' 1659, いわく' 9627, 長期' 1988, wives' 13135, 進歩' 16502, 1222' 17406, 武' 5609, 太っ腹' 18629, ビート' 20276, 衣料' 21142, 落合' 4094, 巨魁' 16742, サイフケータイ' 11493, クウェート' 6739, カラスヤサトシ' 14563, 待機' 13026, 格安' 16715, リフォーム' 21712, 従妹' 20940, 地区' 9324, 村' 4818, 大皿' 260, 878' 9152, 禁欲' 9522, ウェイトレス' 21022, 孝昌' 17907, ゲンナリ' 9984, 鳴り' 13990, 自主トレ' 5132, スニーカー' 21426, メロン' 9789, 寛' 1306, 館山' 12224, 世界' 981, 他' 1076, 重層' 23529, 引導' 20570, 好転' 2456, スカーレット' 12371, オーバー' 5769, ヒーラー' 4501, 台紙' 15592, 通訳' 14158, 嘱託' 6180, 波長' 18302, サトコ' 17472, 人手' 11996, すき' 22452, 沙織' 1079, 着メロ' 22459, 麻' 3072, ドーラ' 4667, 低下' 2043, バトンタッチ' 20948, 山本' 6199, サプライズキャンペーン' 18633, dm' 21409, 語弊' 5893, グラフ' 13665, もどき' 11328, 和義' 18023, 珠江' 7980, ワイキキビーチ' 17724, 讃歌' 10987, 最高峰' 6559, 詠美' 8911, ホットヨガスタジオ' 12270, （? ）' 21197, 裏付け' 9275, 飴' 10063, 二塁' 21105, エキシビション' 17617, 中指' 14672, ！——' 20106, 本番' 71, ドツ' 17857, 主任' 4487, 措置' 9846, 生後' 18762, 2014' 2499, アンチクライスト' 16282, 湯女' 12349, 住友銀行' 19353, 自戒' 16212, 異例' 5081, 伝令' 18219, フレグランス' 14249, 外注' 3138, リネカー' 12876, ドッキリ' 21724, ディスカッション' 13131, 事前' 3521, 所属' 1207, れい' 11286, 厳か' 8851, 断念' 2230, 借り' 15623, 椅子' 15916, 好奇' 16716, ポジティブ' 3398, ドーム' 3505, 大使館' 10119, はた' 17659, 風邪' 1789, ビルヂング' 22886, オチ' 5265, まみ' 1997, リポビタン' 12241, アシスタント' 5273, 赤羽' 20367, 有権者' 12842, アジアンテイスト' 6457, ナナコ' 19883, wba' 13368, 歴史' 2593, 為替' 20318, 回り' 8743, 平' 5563, 脆弱' 13391, プチン' 7684, cls' 19403, 火蓋' 10886, ちゃんこ' 18344, マーガリン' 9410, 森中' 14886, 低音' 5179, 誠意' 6311, beauty' 1908, ドノヴァン' 16519, 姫野' 5798, エアロビクス' 13960, フランチェスカ・スキアボーネ' 15256, ぎなのかもしれませんけど' 5648, 服飾' 4941, 処世' 9504, オモチャ' 5865, 酸' 5782, 的' 374, 本戦' 3005, sweet' 2224, 手作り' 855, 受賞' 5741, トランス' 5476, 瓦礫' 14807, シャイ' 12382, 近道' 1075, 退任' 14060, 面識' 14492, 僕達' 14809, エライ' 20523, クラブ' 3704, ジュリ' 11956, feat' 22790, 昌' 5858, 半ば' 3084, ラブ・アクチュアリー' 7541, 和志' 10319, 提案' 2775, 財務' 16261, セキュリティー' 7515, 子種' 748, くみ' 4066, 柳原' 4167, 紘子' 6762, 気付け' 15270, 稲' 1648, 眼差し' 16323, 札' 14187, アンダーヘアー' 13794, ポリープ' 21540, 久恵' 19667, cnn' 20990, ァンタジー' 22351, 大東' 22614, 墓場' 1295, ドキドキ' 3463, オアフ' 16119, チェックポイント' 21323, だっこ' 3262, 光浦' 16580, 余地' 4370, 占' 11812, cd' 2995, シェアリー' 20500, 微笑' 13998, バスケ' 19268, 野外' 19614, ユル' 9017, 四葉' 15806, 期待' 1482, 接戦' 15395, 筋腫' 19701, 義男' 3598, 宿舎' 18168, 推進' 19553, 瓶詰め' 19166, 支配' 2301, 乙' 11254, 爽やか' 1678, 若武者' 15481, 抹茶' 16837, ホッパー' 18240, 公論' 18813, 障壁' 8512, 絵日記' 21501, どうし' 12205, アガット' 22382, ハムスター' 19930, 懲り懲り' 17620, 社名' 21450, 開始' 2758, 電動' 20555, 抜き' 6396, 本心' 7548, ユウ子' 19983, 鷹' 19207, 敵意' 13150, 執拗' 14395, とり方' 22446, 順' 7976, 果敢' 6064, 雑菌' 12732, コンビ' 8084, 愛情' 4790, オリジナルコンビニレシピ' 7278, 柏もち' 10468, 昨今' 5571, トキメク' 16781, up' 9968, rookies' 21499, 胃癌' 14692, 節' 2709, 陣内' 17357, ひとり歩き' 10456, 手かせ' 9871, 転落' 2684, 取り入れ' 22873, レッテル' 9427, 仲直り' 15877, 最前線' 15031, 鬱屈' 3866, wwww' 10494, 一律' 16194, 演奏' 6178, プラレール' 16979, ナチュラルローソン' 22880, サミュエル' 14820, ｊｂｖ' 20431, ミコ' 8009, 事実無根' 10543, 間食' 13172, コップ' 14776, スピード' 2372, 清少納言' 15913, 口癖' 1713, ２18' 22662, 朗報' 10371, メンテナンス' 11202, 藤子' 13322, 自室' 21470. 「' 7268, 火山' 11604, ネック' 11036, ハッピー' 4496, ホームランバッター' 15597, 広め' 13331, 風情' 20219, 下手' 1516, アバンチュール' 19583, トラ' 20362, 好感' 2226, マリリン' 16773, 膣' 3904, 併発' 20884, 兄妹' 20894, 幅跳び' 16026, 伺い' 16653, コミッショナー' 10798, 在籍' 10272, 賞味' 10070, クリス' 11323, 空間' 5671, 巻' 3038, 人気' 1026, 一様' 19688, 勇信' 6907, 延べ' 13115, 無精髭' 18323, ミランラボ' 7511, 後' 577, hoodie' 21566, 臨時' 6830, 厚め' 17441, ペナント' 18083, 手話' 6360, 表情' 89, デリ' 11708, 前日' 655, 高卒' 16652, 折り返し' 13079, ｇｗ' 5930, 社外' 9525, キンズ・カズ' 21038, 一考' 21901, 上品' 3965. 8294, 前進' 2708, 後ろ姿' 11741, キレイナビ' 12184, ソ連' 17266, 歩幅' 13118, ガンバ' 21993. 20261, 竜田' 21618, 物件' 15375, やっかい' 11618, 佐藤' 5830, テーマパーク' 18031, 市況' 13628, 2002' 3725, 社会' 930, 鞘' 20243, 打ち' 13062, モナ' 7845, 熨斗' 8888, 多恵' 16913, ムカツイ' 21289, tokio' 22827, からくり' 9121, 志保' 6976, ラクレ' 23311, 伊集院' 17547, タイ' 5857, 活動' 2461, youtube' 6633, 孝之' 22164, 別れ' 8022, 234' 19055, ガーデニング' 15299, 繁' 3692, 3749244' 17336, 山下' 18186, ショルダーバッグ' 15864, 廉価' 21556, 秋山' 6564, 友引' 12640, ファイティングロード' 17084, 和歌子' 7808, 愛知' 12788, 信号' 17291, 深々' 22468, 小渕' 13499, スンダーゲ' 21869, 洗面' 2319, 麻理子' 284, 声' 204, サングラス' 9445, ショッカーズ' 18949, 成さん' 18179, 板' 4632, オシャレアイテム' 18703, 書き換え' 21111, be' 2756, 基礎' 3600, 安静' 20868, 府' 9895, ファーストレグ' 20698, ドロ' 11256, 掛け合い' 12027, 籍' 3677, ゲイボーイ' 1638, 閑静' 19867, sunday' 20714, 秋竹' 5142, ラース・フォン・トリアー' 16290, メトロ' 21178, 彼等' 18909, バーベキュー' 15273, 衣装' 11578, 二股' 1245, シルクロード' 21013, ｆｓ' 16332, 友だち' 3140, デジタルガジェット' 22435, 給与' 16258, ょうがないんだけどねえ' 20937, 赤口' 12641, グチ' 11517, タラ' 11520, 激変' 14972, 雑言' 10526, 鍵' 3179, 楢崎' 21647, 美的' 10663, ジュリア' 10363, 日付' 15421, スレッド' 10885, 淋病' 13933, 雑誌' 2156, 追究' 20979, 方便' 2668, ジェフ' 19581, 電池' 16586, サグラダ・ファミリア' 16696, 首' 5764, ウニ' 14366, はやり' 7201, akie' 19843, 文様' 19017, 羨望' 18646, 郎' 13042, tpp' 17578, 書き方' 20084, スレッジ' 18504, 宣' 2405, zoo' 11356, お越し' 12843, ペレ' 21039, プラモデル' 18305, ムーヴコンテ' 16388, ズドーン' 21982, ゅごいぃぃいっ' 15966, 賃貸' 10870, ｎｇ' 15695, オーバーワーク' 22921, 由夏' 22165, 360' 12268, 一理' 21821, 外気' 22119, 雪絵' 16885, 懇親' 13258, トゲヌキ' 1799, 決意' 1061, saori' 10919, 実弟' 11739, アメフト' 20824, 拳' 5678, ムリエ' 22000, イネスシークレット' 22984, ハーレクイン・ロマンス' 14399, 納品' 3172, 冴子' 23428, はる' 1812, 事' 1531, コンバート' 15753, 金' 2309, 洋食' 18541, ロデオマシーン' 18954, プライマー' 13235, ハーディ' 22912, 醜態' 2807, 最初' 2204, ば' 18373, 青地' 9448, シャベル' 17039, 可' 15071, ゲンダイ・スポーツ' 15998, 同誌' 200, 傷心' 12509, 本山' 13949, 凋落' 14592, 物腰' 16828, ブロック' 4883, トンネル' 9797, 沙汰' 14301, 豪州' 20639. 」.「' 19885, クシャナ' 4689, 諸国' 16459, 実在' 17435, ファンタジック' 10229, たけし' 11464, クレア' 1126, もやし' 19184, paperboy' 20110, 坂道' 6738, 改革' 3360, 利幸' 11825, となり' 10050, 〜♪●' 8190, セコンド' 6898, いづみ' 13773, オノ' 12072, 高台' 23605, tristar' 15265, 睡眠薬' 12705, ゲル' 12886, ハタチ' 13732, break' 11115, アース' 15328, 他人行儀' 18605, 本命' 1329, 初婚' 3679, 470' 9179, 月並み' 14289, ルー' 13801, 大小' 10787, インタビュー' 27, ６つ' 12654, 金額' 2097, 宮塚' 11452, アラフィフ' 7692, 脂肪酸' 9254, 性交' 7974, 休養' 16152, 大相撲' 6896, 通勤' 3162, 余所' 13735, 範疇' 14977, トイザらス' 16982, オフィシャルツイッター' 13696, おじさん' 360, 炭水化物' 17894, 苗場' 11174, 育英' 17455, 理紗' 15402, マッコリ' 15531, テグ' 2271, 交渉' 4196, 大介' 6972, 小麦粉' 15045, アート' 18244, 直々' 20993, エラー' 5692, マカロニ' 20608, 目薬' 14685, ホームページ' 2527, 内蔵' 16024, 生子' 10691, ハタ' 449, 昼寝' 3160, 手間' 7246, 中央公論' 19541, 冊数' 5091, 自我' 3860, ロマンス' 5317, 公務員' 2902, hybrid' 11476, fc' 1226, 行政' 19094, 維持' 4040, 辛辣' 3414, 昨夜' 14004, 割合' 3780, ハルミ' 17984, 交響' 10978, 巡礼' 16714, 存在' 33, オカズ' 18617, 金字塔' 12117, ヤマモト' 19295, スベトラーナ・シェコリナ' 22082, 秒間' 18956, 政策' 2940, 上向き' 17470, 快楽' 15796, ディテール' 15766, 用具' 11184, シゲルカサギヤマ' 14874, ミツ' 13415, wowow' 16663, ユカ' 4729, スタートライン' 4819, プレイヤーズライン' 20172, ドジャース' 12791, 先勝' 12675, 無双' 19423, 逃げ場' 17327, 子守' 14212, 手前' 5414, 学習' 7317, 押し' 10918, deal' 13692, ○○○○○○」' 14847, ロスト' 23042, ec' 9147, ベンピ' 21371, グリル' 19171, ビショビショ' 19656, 典' 13170, 無人' 9774, さとみ' 18534, 祝勝' 17926, オーケストラ' 13908, spa' 3708, 現有' 15478, バァー' 9231, 足技' 21339, マネキュア' 16864, 精力' 12924, ソックス' 8319, 稲垣' 12073, エアコン' 11823, リムーブ' 7566, ハジ' 9973, アキ子' 1575, 慎一' 12062, 彩り' 22895, 莉央' 9212, 嗚咽' 13416, 面倒' 214, マエケン' 12625, アイシェア' 15848, ふう' 6190, 舞台' 2276, ユキノ' 7876, 信' 21102, rock' 7686, aaa' 3212, 盗聴' 22900, ワタシプラス' 6994, 今晩' 3324, md' 22656, 充実' 1805, お気に入り' 622, 娚' 14397, 貼り紙' 14093, 装着' 22551, 晶' 9650, 墓' 11135, 数学' 10203, 壁掛け' 14236, 初潮' 18776, 純粋' 4554, 井口' 23640, 熊沢' 19008, ラグ' 13453, 奥澤' 20085, 進退' 16138, べっち' 12196, ハイグル' 17457, 株主' 20486, 瑠美子' 15438, 昨年' 889, バイタルネット' 21439, ワーカホリック' 5626, 夜遊び' 14170, 病巣' 23473, 合計' 8241, 貯金' 3311, 輪廻' 19733. （' 3655, 光線' 20383, 振り袖' 22700, 原作' 1741, 友利' 7336, 檻' 3237, 武者' 15017, 瀬' 22161, 歯切れ' 8252, 大体' 7411, leaders' 23063, 再婚' 9485, bl' 5344, 家族' 1244, 敬' 8469, ぎゃ' 21488, 敏腕' 16331, 大衆' 3862, 過激' 4538, 200' 8197, 痛み' 1749, ハンディ' 22254, つなぎ' 21288, ゃいけないっていう' 21076, エッセンス' 16752, 未明' 8687, 切手' 6213, バカヤロウー' 19680, ぎらい' 18679, 由里子' 4546, クマ' 15693, 銀座' 7130, 恵利子' 9787, 外的' 21878, パーソナリティ' 14971, シングルス' 10179, 愛娘' 7679, グッズ' 8954. 「' 12323, トイレットペーパー' 1953, 誇張' 22514, アイシャドー' 18276, 三高' 7818, 立ち上がり' 7422, お湯' 5433, 論調' 7145, リアルタイム' 18613, 前かがみ' 14096, わけ' 236, 博己' 10727, まくり' 14240, 関係' 168, ニール' 12373, 早瀬' 21906, リゾット' 16568, スエマエ' 15340, 異彩' 6007, いちず' 18420, 昨年度' 5009, 創始' 12920, 良隆' 6130, 大陸' 2621, 置物' 23118, 景' 20430, 疑い' 8486, ウェブサーバ' 19848, 張り' 10014, 億' 2200, クルーザー' 3319, プレゼンテーション' 13288, 誘導' 9482, 犬' 739, 別物' 15146, 取り扱い' 10053, 食い違い' 8395, 医薬' 20739, ボルト' 16230, 新体操' 11306, ファッショナブル' 20167, 餌食' 21287, 騎乗' 1527, 空前' 12621, 回帰' 3112, 産経' 20681, ボドラム' 9389, 模索' 500, 女子' 407, 初美' 20650, ジョソコ' 11251, 引き出し' 11832, 心身' 6481, 乳首' 7451, 獰猛' 16092, amebagg' 11484, 強豪' 2742, 実態' 6654, fox' 1085, 香典返し' 22056, ボクサー' 1344, がまん' 9820, 英寿' 15631, 必勝' 13682, 在米' 22705, 繁盛' 17469, 有無' 292, 電光' 15130, aim' 11628, アンケート' 3152, 転居' 16682, やました' 21715, 由緒' 19326, 提携' 9159, 痛快' 7122, 四半期' 13290, 勝之' 22955, 難病' 10931, 関東大震災' 6218, deco' 13610, 名奈' 9738, 墓穴' 18098, ピーン' 23595, ムワッ' 11923, ・ナイアシン' 17745, カール' 5677, 表向き' 16128, 親御' 10437, ブランディアスタイル' 23441, 須氏' 3930, bs' 16897, 等' 2010, 鎬' 13385, 無礼' 19320, ホイチョイ・ムービー' 935, ナビスコカップ' 17092, ゴルファー' 1630, 兵士' 11867, 洋子' 363, バース・デイ' 18289, ネギ' 8140, 生息' 5917, 虐待' 18760, コミュニケーション' 3135, 皆既' 15900, ルームメイト' 21149, 向井' 7301, シャラポワ' 10172, 鈴川' 6872, 保障' 987, トップス' 11728, 不信' 6267, 雅功' 7638, ブレーブス' 13866, 上場' 18183, 所持' 13791, ベースボール・マガジン社' 10520, 大厄' 21528, 月給' 20230, けん制' 8731, うなじ' 18488, 生放送' 4275, ポテトチップス' 15051, ブロー' 22134, 松田' 2203, 堂々巡り' 18990, 直' 6500, 解体' 5911, レッグウォーマー' 22122, 美幸' 4171, ジャム' 6611, ギブ' 20216, きり' 7084, イチ' 1178, フライ' 7751, 大豆' 18311, 焦点' 5717, ベルマーレ' 21645, 弁理' 17000, しぐさ' 4160, 副業' 4620, トナカイ' 22825, クス' 20780, ダネ' 511, チームメイト・' 18503, キリンビバレッジ' 14924, 人工芝' 22939, 応用' 16278, シブ' 10959, hitomi' 19647, 梅津' 13476, ガマン' 18733, 重文' 19004, 奴' 1213, カンヌ' 20471, インヴァティセット' 20753, ヨーグルトダノンビオ' 22445, ちい' 22995, サテン' 13816, 上陸' 8972, 集合' 7659, 血管' 4059, 戦場' 6567, 全米' 4831, オフホワイト' 19263, ソフィア' 9368, ドラコン' 22931, 中旬' 8638, 菜の花' 5508, スノボ' 11169, マツダ' 3491, 父さん' 19476, merit' 19586, 老練' 14130, アーチー' 22601, イビツ' 23430, 運び' 11123, ちえこ' 8017, 迷い' 2971, 倒産' 20829, カルテ' 4412, お父さん' 3839, 頭でっかち' 19269, 比べ物' 13011, 勘違い' 1064, 720' 11171, 地中海' 9394, 背' 7811, pt' 22195, 猛者' 18957, レオ' 12955, 真水' 22272, 組み合わせ' 8153, プレミアム' 8008, ———.「' 19441, ゃっこう' 12650, 放出' 3124, 乗り' 4696, 延' 14730, フェイント' 22007, からだ' 12968, 絆創膏' 1825, 事業' 1171, 委託' 7361, 社長' 1015, ゴーキャットジム' 22255, ファームマエストロ' 5435, エイト' 9807, 東西' 4475, 由子' 14550, 育代' 22476, orix' 17952, 薄化粧' 18352, スペアリブ' 17743, mm' 10668. 】' 21483, 会計' 2501, スタンフォード' 14381, コピー' 3617, 好投' 8745, 槍' 5543, 雄一郎' 14915, ジオ' 22809, 適量' 18853, 伊藤' 2539, 荒川' 6120, 通過' 7432, 106' 15616, 競り合い' 13310, ワンステップ' 21456, クスリ' 14269, 羽田空港' 15967, レンズ' 19567, 広瀬' 11165, 各所' 7585, アドバイザー' 7504, しゃぶしゃぶ' 20361, ドロン' 13426, 一触即発' 5997, september' 15316, 幸世' 13432, 難産' 15413, 遺伝' 7806, 利き手' 1833, ）━━━' 20135, 分散' 16884, 満悦' 5454, 作法' 4797, 発起' 10041, 布告' 23085, 単調' 17682, お迎え' 3192, 小腹' 10077, ヵ月' 716, 慢性' 2972, 児童' 10230, 尿道' 18580, シーム' 19307, 夜間' 851, グラッ' 21337, ラーメン' 2871, 鼻毛' 583, 少年ジャンプ' 18874, 260' 20292, 紗' 2190, テール' 17738, リサコ' 16122, 時節柄' 20622, ファミレス' 15065, ファイファー' 17458, 打算' 11261, 分身' 8034, サンスポ' 21877, 続投' 16891, 結集' 12114, 排卵' 3828, ミワコ' 21061, カロリーメイト' 21750, 佐江子' 4406, 平行' 10766, 2800' 15546, ポイント' 1276, うわさ' 12925, 教諭' 6132, jfa' 8361, 先輩' 744, 着実' 9493, 北朝鮮' 8382, 行動' 1726, 打つ手' 19837, 判決' 10900, トーマス' 19832, スローイング' 16674, 報復' 20539, クリーブランド・インディアンス' 3752, rhythm' 7335, プラセンタ' 5779, マスカラ' 14947, プラットフォーム' 12112, タワシ' 19375, 室' 8229, 解離' 22041, 西澤' 15015, 薄' 5343, 揃い' 5030, 攝津' 12228, オホホ' 17880, 度胸' 14935, 脱却' 3686, 悪知恵' 11653, われわれ' 17278, 古傷' 20490, 狼狽' 4323, 信太郎' 7388, 4350811' 17343, 大物' 1556, 峰' 3870, 細菌' 11647, ペン' 15858, 苦み' 20517, 続出' 1983, 千葉ロッテ' 5623, サード' 16965, スターター' 12942, アイス' 2313, 初戦' 4373, 善戦' 3450, アヤコ' 16482, セックス' 3907, 晩' 1765, 父母' 2600, さ' 106, 生粋' 13399, 正解' 1359, シゲルエスペレ' 14883, 割り' 19178, ケーアイ' 8742, 厘' 7717, 表紙' 3654, ｗｗ' 6858, 1018' 13956, 九州国際大' 6736, 志津' 20469, ザックジャパン' 11897, 茫然' 7726, ヤ' 11927, キュッ' 5182, パイン' 22907, 秘' 10636, きよし' 15651, 決済' 18791, 濱田' 17186, 海苔' 5466, リズ・タシーロ' 12374, 楠原' 10093, 抜駆け' 5804, 正樹' 8337, 上の空' 23591, アウトドア' 11167, 小池' 12844, 生年月日' 16083, ゃべれるわけないだろ' 4334, akb' 2989, 歌舞伎町' 10607, アロマバス' 17985, クリストフ・ヴァルツ' 6674, トリオ' 1606, 金棒' 11309, ゴールドコースト' 20334, ピュア' 4549, 攪乱' 21591, エア' 4302, 旦那' 2339, 意気地' 6785, ゆかり' 6844, かおる' 10089, 一芸' 14741, 迷走' 8475, creative' 23080, フィクション' 6673, マフィア' 23537, 寝室' 20771, リレクエーション' 3241, 旅先' 14040, 見世物' 9112, 真司' 1230, セフォー' 4238, 茜' 21360, 大作' 17109, トーチャルンチャイ' 19792, 生きざま' 7113, 告白' 1298, メンバー' 3039, 楽章' 10974, 依願' 12440, ラピュタ' 4644, 只今' 12992, 留意' 8185, 公共' 10329, 発声' 5189, 足跡' 22732, book' 4742, ラップアラウンドデザイン' 19395, スマートフォンユーザー' 22835, 水色' 10645, 吸汗' 13465, ネックレス' 11589, 日本人' 778, 勝負事' 15022, 辛め' 15527, 広州' 4843, 小道具' 15770, むき' 17028, バッグ' 2071, 絵画' 6511, リバウンド' 1868, ボストン' 8314, 構え' 14713, アンドリュー' 11441, 芙美子' 12008, 読解' 15109, 負荷' 7991, シベリアン・ハスキーブーム' 14733, 大分' 16244, イネ' 22980, ジェイ' 19723, マリモ' 12746, ズッキーニ' 17016, ケイ子' 13482, 期末' 16631, リース' 8882, メガ' 20799, src' 18006, 華麗' 5453, 黄土' 9046, 方面' 9387, 肩書' 13661, 予告編' 4571, プラン' 7856, 時点' 4230, シルバニア' 19898, 盛' 2680, フットボーラー' 12422, 血漿' 16647, ざが' 9417, 三者' 9910, 先着' 22523, 臭気' 3618, 微妙' 2395, 決裂' 4186, ヒルクライムレース' 19509, keep' 21477, 出撃' 4041, 財布' 5637, 百戦' 15025, 「♪' 21909, 偽物' 12594, 真似' 7341, ゴールキーパー' 10163, nd' 14574, 打ち切り' 17364, チャーミング' 15764, 淫靡' 17171, ライオンズナイター' 22730, 両端' 878, togeter' 17420, 絶望' 1721, screen' 12682, 小百合' 22689, スタ' 6630, 真っ最中' 3982, しどろもどろ' 7161, シミ' 12320, 275' 22575, pride' 14352, 気取り' 179, バラエティー' 15635, メリハリ' 5177, 遺体' 6535, サックス' 18517, 同' 13862, サンデー' 14798, ネコンカツ' 23154, 裕史' 14726, door' 19613, 瑞希' 20725, 来店' 9999, 目移り' 20374, ayu' 13527, 従兄弟' 9823, 半熟' 7253, ウチダ' 17852, 今日' 1319, 容疑' 11066, 覚悟' 1718, メラニン' 18833, 各国' 16744, ぱっつんに' 19772, 人差し指' 14671, キャプ' 14709, 刑' 10911, ディド・ハーフナー' 16397, 密接' 11641, サルトル' 15739, 神話' 12919, ヂカラキープ' 20391, 作文' 18716, マーケティング' 5727, 負け' 4093, 込み' 13550, 世田谷' 20245, ヒド' 1956, 近所' 1831, 評価' 2398, 容態' 12990, 八木' 14175, レントゲン' 9040, オルゴール' 17990, money' 14204, カップラーメン' 12573, ツイッター・プロフィール' 22591, 女子高' 3914, 外交' 10184, 背筋' 5180, 旭山' 22960, 片方' 11372, 非' 3507, 時の間' 22209, ボストンバッグ' 15856, 藤枝' 8811, ピンク' 3881, エボシ' 4649, 入山' 14440, カツ' 9841, mmaplanet' 7682, 夜勤' 14803, 夏美' 22167, ション' 12040, 姑' 3787, マルチ' 9245, 1900' 13837, 真理恵' 22368, セーフ' 14169, 乗り降り' 17691, 驚愕' 7609, 深手' 18020, いま' 732, 杉内' 13863, ナイ' 6098, アンディ' 16783, レーシングスーツ' 13051, 非公開' 22749, 殺害' 19150, 統制' 21743, 代議士' 22406, 頂点' 8035, 物価' 9360, 村山' 20569, newsweek' 18480, カナリア' 13793, 比嘉' 15781, メルビン' 16146, 檀' 23244, シナリオ' 7777, ろうし' 1523, かじ' 20838, 江本' 208, 3700' 4942, ヒルクライム' 9689, 83' 4519, ヴォルデモート' 10202, 収束' 20452, アルファ' 19990, セーター' 13882, 孤独' 4529, 向日葵' 18013, 文中' 19654, ピエロ・ガスペリーニ' 14995, あずさ' 19082, 香代' 11168, みたい' 238, 専門医' 11676, エリナ' 23391, マンショ' 15381, 実生活' 14558, 周作' 20728, 備忘録' 20842, 女化' 22142, 熟達' 16444, 安売り' 10054, 入院' 3386, 小峰' 10152, ゴミ箱' 20563, はめ' 3592, ワイシャツ' 5639, メッツ' 3469, コート' 5948, キャンベラ・ナショナルコンベンションセンター' 20635, 228' 20856, ストライカー' 10879, アゲハ' 21367, 中腰' 6349, 無欲' 16420, 腹式呼吸' 5169, kara' 14360, 怠慢' 6629, 隙間' 6323, サービス' 2115, 訳出' 11034, フォトギャラリー・アデリーナ・ソトニコワ' 12907, リョウコ' 17983, チョーク' 17075, ポルトガル' 6001, 摩擦' 16438, フルイニングストップ' 20572, ロスタイム' 8456, ラウンド' 6893, think' 711, すそ' 8106, シャラ' 20684, フェイエノールト' 16227, 移り' 16078, クリームチーズ' 21238, 体' 1204, ｔシャツ' 12774, 在日' 19105, 労力' 6340, 不十分' 8436, ストーリー' 1149, ベラ' 19745, olympic' 3836, 真性' 6607, サンドロ・ロセイ' 16727, 空模様' 14370, スクランブル' 12590, 請け合い' 840, 面食い' 22227, 勝手' 1607, 開講' 19478, アビー・ワンバック' 20766, フェイドアウト' 12783, ルッツ' 12899, 伸びやか' 7890, ビシバシ' 12558, 陸奥' 21301, 文子' 6459, 道理' 18494, ゃん' 11078, ツケ' 12815, エコノミスト' 20320, 贈呈' 5087, 自動' 4984, 雪国' 11155, パシャパシャ' 21158, 粗末' 16960, 補給' 9047, 太田' 17069, 百戦錬磨' 14020, ムービーアプリ' 15140, 指折り' 19977, フォワード' 3036, 凄腕' 22904, 叩き' 23619, 任期' 11873, 出題' 5222, 憂うつ' 12949, 6' 2257, 発赤' 14618, 疋田' 9648, スマイレージ' 19060, ロゴ' 1062, しらす' 5418, 機能' 681, 密輸' 15587, モデル' 4910, 水原' 14299, 千穂子' 21164, 小児科' 17822, 読書' 876, 産科' 14617, 美奈' 20421, ワンチャンス' 15776, 膀胱' 14619, 覇' 3939, 大詰め' 12490, メイキン・ハッピィ' 12136, クイズ' 5240, 毎日' 423, せいや' 5611, 聡子' 6156, ピン' 9141, 渡部' 10683, 益' 11065, エンジン' 11471, 麻生' 13430, ミュージック' 20183, 勘太郎' 15365, 恐怖症' 16517, ぶっこ' 17053, ヤッ' 7048, 所々' 16539, 修行' 12379, 浩' 2400, aus' 10541, コリエレ・デロ・スポルト' 23393, 気まま' 4987, ずぼら' 20225, 親友' 705, サマンサ' 20617, 鞍' 19007, フェノール' 2020, ヨ' 4741, チカ' 15846, つ折り' 11505, 玉子' 5464, アノ' 16412. 17948, 快音' 2798, ティーンズラブ' 22571, 封建' 15732, 墨' 17223, 言い分' 2855, 特設' 12253, 形骸' 20429, 再々' 15476, 帰化' 7151, 最下位' 13520, 小柄' 2645, 祝賀' 7666, おまえ' 1509, 公道' 17698, ザ・シークレット' 4930, ボロクソ' 19686, 仲' 738, ピシ' 21466, 鳴沢' 23211, 圧巻' 17931, ヘタ' 5794, 陰湿' 15824, fdc' 22709, club' 6430, ムチ' 12565, グラムール' 18508, すし' 5944, 矢吹' 12957, 足並み' 18634, 通信' 4613, 後任' 5072, 雨宮' 9957, 増額' 19098, 支配人' 19154, 遅咲き' 16169, レズビアン' 21052, ケア' 647, 02' 7993, 敵役' 22300, 各人' 15696, プロフェッショナリズム' 23173, 在京' 16160, 病変' 20192, 方位' 2421, 悲鳴' 9849, ダイヤモンド' 7943, おまかせ' 6829, イメージチェンジ' 15118, レギパン' 11734, みじめ' 14800, 夏海' 15679, 期限切れ' 16973, 真空' 19278, 論語' 14068, クエン' 13177, 若返り' 6358, 雪辱' 7429, アーツ' 16902, 佳乃' 19381, 健康上' 19438, フラグ' 10044, クワバタオハラ' 19643, 万物' 23466, ミョウガ' 12101, ヒール' 16784, 期間' 2768, 由希' 9496, 来季' 8644, 見栄っ張り' 20651, ペットボトル' 1863, 1' 104, 記録' 2260, 陰' 4317, バイヤー' 19623, 洋史' 15020, chapter' 22239, 友が丘' 20772, 完了' 13625, ヨウスケ' 20220, 棲家' 9839, 美香' 4854, 球威' 8761, 和彦' 5065, 足' 275, 生野' 21264, 決行' 22851, 中田' 2785, 紀' 3685, ガチガチ' 7479, 賜' 21615, 体毛' 18315, 虚礼' 6333, 割' 1281, ノーヒット' 12630, 不具合' 16879, 池山' 5225, 当社' 3346, 素通り' 19778, 契約' 1441, 規制' 6776, 全巻' 3584, ヒストリー' 11951, レグ・アーセナル' 14579, 不備' 10804, マリオ・バロテッリ' 6019, 舌戦' 10732. 1300, オヤジギャク' 12628, リアアングルドブッシング' 20164, 給油' 11994, 女嫌い' 15168, ジュエルス' 4259, 偉大' 10301, company' 12711, スニッカウ' 18955, 教科書' 3569, 居場所' 7728, 売り手' 23034, 礼さん' 21973, 距恋' 17504, しまむら' 21761, 紅一点' 23226, 長' 3810, 老後' 1968, 目利き' 23190, ゾウ' 3266, ジャッジ' 6402, 意識' 944, 思春' 6455, ストッキング' 12106, メジャーリーガービッグ' 16142, イタイ' 7008, 千谷' 6475, さそり' 22752, あし' 326, おそろい' 19963, 憑依' 21917, 不透明' 1438, 気性' 12337, まちまち' 22366, タイマー' 20768, 警官' 21049, 運命' 2426, 交番' 23305, 坪井' 20804, リカコ' 15723, bb' 18353, ベーシック' 829, 訃報' 4213, 大金持ち' 3294, ウィル' 16557, リーグディビジョン' 6865, ng' 1255, 千代' 7938, コミュティ' 15441, 治療' 3781, 前足' 23133, 薄氷' 21861, 月浦' 15980, 連作' 3956, miwa' 10971, のし紙' 22064, スヤスヤ' 23090, ランキング' 2162, 舞子' 17923, 回線' 22434, 課金' 10753, 耳寄り' 21174, メントレ' 21613, 1919' 14106, 直視' 5892, アリアニー・セレステ' 22479, 名門' 1227, 864' 9160, 兄' 539, アディダス' 7137, 神主' 21697, ブティック' 9381, がけ' 9535, 足とり' 5247, ハウソン' 19824, 予報' 22038, 居間' 4401, 服装' 4798, 宮崎' 1596, 食い物' 21498, 頭' 119, 順天堂大学' 9260, gaban' 17686, 木陰' 13354, 所得' 3314, スチュアート' 23440, 稼' 5680, ヒカリ' 19893, 前編' 15572, 尻込み' 8437, 解釈' 12209, ギャグ' 1715, チャチャチャ' 6803, 一利' 17356, お祭り騒ぎ' 7714, サウジアラビア' 9632, リゲル' 15925, ｌｅｄ' 22844, bec' 17962, ジェイソン・シュワルツマン' 1105, チャレンジ' 2475, g' 2056, 愛着' 6338, お金' 1113, 相殺' 16033, 阪神球団' 15539, 多人数' 22429, 不眠症' 15826, 逆撫で' 21408, 対話' 8431, ブルワーズ' 3757, 万端' 16606, 強面' 13976, 深酒' 7990, ぱい' 5362, 風変り' 21673, 今さら' 13738, 夏服' 5365, 移転' 17761, ホテリアー' 22303, 復興' 1384, スペシャルメイキングムービー' 11700, 春場所' 18499, ゴリラ' 19919, 偽名' 23551, 電話' 1750, 意外' 50, 四方' 12735, 風変わり' 14382, 通帳' 8661, ニチレイ' 18017, with' 19617, おしゃれ' 792, バッターボックス' 15315, ノーゲーム' 6641, 私生活' 3382, ハロー' 7652, 予感' 2155, メグミ' 8610, 1908' 16028, 春夏秋冬' 21652, リラクゼーション' 8119, 速攻' 7428, 先々' 13523, 葬' 6522, ボトム' 16015, 篤人' 8459, 不景気' 10380, 軍曹' 15369, 社交' 2662, 絡み' 12908, 月日' 7406, ハーフナー・マイク' 6730, ヘルタースケルター' 14945, ライバル' 8370, ぱる' 5159, 有明' 14142, バニラ' 7247, 衣服' 14250, 都留文科大' 10688, 史恵' 11779, 敏史' 8461, 国軍' 22670, 51552827' 23378, リサ' 18964, 反発' 1185, 乳腺' 14606, 満員' 2911, 功夫' 14065, ローション' 10827, チクチク' 16461, ピカピカ' 18960, 秀喜' 8478, 乃木坂' 5008, サンクトペテルブルク' 17933, アスリート' 1597, 東京電力' 13032, 電子' 9879, オープンワークアウト' 23322, 嫌気' 2459, ダブルメインイベント' 19822, 手柄' 290, 大まか' 12010, サンドラ' 19143, ラブホテル' 1450, ioc' 14727, 団結' 10968, 消失' 18984, 空き地' 22813, 空手' 4865, officialsaints' 13685, 日本一' 2109, ジュースキント' 10233, 台所' 4385, タカギ' 14641, 門' 10576, ハウスメイト' 7311, ダルマ' 20278, トラディショナル' 20997, いい気' 12534, 出国' 20321, アウト' 5993, イチコロ' 22983, 昇' 21831, 史子' 8967, ポラック' 19940, フィギュアロビクス' 22854, クッキー' 5894, 水中' 17876, 得策' 10582, ウィンブルドン' 16486, いいかげん' 15181, 76' 4404, 青山' 2489, 並木' 22849, 浩二' 11250, ロッカー' 9065, 大泉' 15989, 藤本' 10347, かずこ' 4710, ———' 22553, 長打' 10559, 態度' 1332, 密会' 17708, 洋館' 5902, スターサンズ' 15729, 物資' 12000, 入校' 18828, ホラホラ' 20939, 極度' 15115, 不可能' 2653, 無視' 9718, 定員' 11142, 記述' 11349, 入浴' 8203, 闘志' 3, 第一声' 15230, 珠玉' 22231. 」「' 13964, 完璧' 1519, 次' 10826, クラシカル' 12687, 快気' 22059, 工務' 10622, ダウンタウン' 1579, ユミ子' 18561, ホワン' 14965, 狂乱' 7789, 興南' 16526, 仕事場' 368, 質屋' 20119, 前年' 9399, タフ' 13704, 長澤' 1871, ヨロヨロ' 13328, おにぎり' 11294, 店名' 21123, 心待ち' 12346, 加熱' 5471, 徳島' 19909, 一途' 4914, 言及' 129, ヴェスレイ・スナイデル' 14814, 政権' 14662, コピーライター' 14555, 白馬' 5896, スープ' 5421, gramorous' 4917, 福山' 13508, 清書' 19499, カーリックシュリンプ' 17680, 節度' 13733, ネバネバ' 6420, 頭数' 17589, フィガロ' 23643, 素' 19572, なみ' 15401, 現場' 3247, 紳助' 5614, フリスク' 19607, 数量' 13244, むだ' 1348, triple' 16810, 全日本' 2366, 著作' 21312, 故人' 6526, ラツィオ' 15186, 頸' 22146, ホットアイマスク' 20387, セレッソ' 20146, 長雨' 12926, 冷房' 3099. 【' 21195, プリティ・ウーマン' 23461, 5000' 2243, 空気' 1588, 宴会' 15807, ミクロン' 18298, 不順' 4087, ヤマニンリュバン' 20288, 作成' 4746, 強要' 6291, キャプテンシー' 14797, 市川' 2233, 行き' 14486, 半量' 11396, プロヴァンス' 20410, 乳酸菌' 17602, 凶悪' 23314, アライ' 15852, 撤回' 14983, 手頃' 5932, 通年' 3069, 規約' 11289, 頚部' 20191, ヒマ' 10846, 悪あがき' 16130, レディー' 11762, 男好き' 13304, 63' 8991, 東洋大学' 18185, ドリップ' 2865, パネリスト' 19850, セレクション' 14033, 惜しみ' 19506, 181' 22449, 仮名' 2656, 指数' 4944, 役柄' 11430, マドギワゾク' 14860, ヘビロテ' 17368, フラット' 6229, トレード' 6222. 8375, 大さじ' 1973, ウジ' 10777, 応え' 17386, コラーゲンペプチド' 11536, 哲二' 9631, ”. 6499, モンテディオ' 8817, 書き初め' 21295, 後家' 1421, ホームグラウンド' 13025, フィオ' 4693, 激論' 17557, ブレイキング・ドーン' 19743, うつ' 9864, トングサンダル' 10018, 整理' 2422, ミスチル' 14342, 石橋' 15047, 銀河系' 21332, 無断' 14293, 至難' 11944, チャイルド' 4503, シンヤ' 15765, 夜桜' 7927, 杉山' 6748, 対峙' 8530, カンタス航空' 20323, セルフチェックリスト' 19040, 腐れ' 11040, スターウォーズ' 14178, やりくり' 8196, 作り方' 2040, 倉庫' 14634, タッグ' 15364, 冷蔵庫' 9784. ※' 12579, 足掛かり' 13891, 育ち' 3882, ドカーン' 8409, 室温' 3080, turning' 13541, 定食' 2682, 染め' 13257, ウォーズマン' 22617, 順番' 11099. 48, トゥーユー' 19944, 出迎え' 11751, 変人' 10040, お花畑' 13220, トンチンカン' 11885, 正章' 9545, ねつ造' 18756, 現地' 3748, デモ' 19727, 虫垂炎' 15514, 旅立ち' 18229, 圏外' 6613, fancl' 16942, お断り' 1174, 注意報' 17697, 年の瀬' 14747, しらふ' 16520, 混在' 14255, 折りたたみ' 10325, 病名' 18802, ぎらいなのだとか' 18678, コンディション' 8489, ボーダーライン' 1248, ムービー' 15141, フジキセキ' 16333, エミカ' 22949, お母さん' 4388, 濱' 10761, ブッツリ' 14221, 文具' 15867, 待ち合わせ' 11288, 晴香' 346, 2005' 1084, タルト' 9092, 異様' 2160, ワールドレディス・サロンパスカップ' 14378, ヒロ' 4169, 猛攻' 13537, 上質' 13243, 美食' 23494, 投下' 16994, acc' 19044, 拡大' 12605, ボーイズ・ラブ' 11038, スモーカー' 22360, 浮浪' 10214, 好演' 22417, 泰造' 8624, カンフル' 17729, 誤算' 5396, 疲れ' 2013, ジスプロシウム' 19558, ゆきこ' 19368, 扉' 9116, 所縁' 9323, 臆' 14481, 植木' 3731, 初任' 18549, 見もの' 13143, ④“' 18924, ホークス' 2415, 安曇' 4490, やんちゃ' 18033, 奉仕' 17261, 放課後' 20936, ラテ' 2844, 糧' 5120, 砂埃' 20305, 滝崎' 18430, 定住' 20675, ジャラ' 22290, 交代' 7424, 自作' 14905, 西島' 20124, めがね' 16595, 火' 4877, 取引' 3523, 由恵' 23506, 幼児' 11683, 兄貴' 6562, お開き' 5055. ？？」「' 7140, フラストレーション' 11383, 起床' 8308, ゲンカ' 17418, 川内' 9189, 表記' 3694, 玄米' 8158, ウォッチャー' 8352, 部員' 11350, 檄' 20272, アブ' 17660, 織田' 4028, ラブラブメール' 19952, モテキャラ' 23372, ターゲット' 2206, 無税' 23399, 消極' 12174, トーナメント' 3437, 色彩' 15170, タエコ' 18172, 先' 489, 八' 10712, z' 10981, す' 10141, 水分' 3106, l' 4732, 並' 8449, 諸刃' 22712, 大判' 13450, 苦境' 13300, 均一' 18274, ひとつ' 759, clarity' 22391, シアター' 10786, 搬送' 12981, 相乗り' 11999, バッジ' 15865, デヴィット・' 23452, バージョン' 14361, リーグ・エスポラーダ' 23422, ゃ' 12100, 酸化' 19589, フィテッセ・' 20249, 雀' 14194, 秋田' 6114, 掲載' 1483, 洋菓子' 14609, 百聞' 9230, 無趣味' 22958, 大堀' 21202, 製品' 2752, スパーリング' 14778, サウサンプトン' 10265, 東' 6241, 抜け毛' 12961, 高山病' 16709, パンフレット' 14552, 協栄ジム' 15182, サラ' 13232, 康生' 5062, ハハハ' 19655, 試合' 1564, 行い' 18751, コック' 21024, パンティー' 13814, 書き出し' 4637, キモッ' 22652, 赴任' 17415, 含意' 17959, おごり' 20765, 江' 10382, 容子' 17785, ホド' 23161, 路' 13332, 佑香' 20896, ロム' 13758, ユーモア' 20665, 利益' 17252, 狩猟' 16749, 三島' 15986, 快速' 14120, 斜め' 593, ほろ酔い' 17842, それぞれ' 825. ）」' 15847, 搭載' 11491, 博士' 5810, ウロコ' 15426, ホームセンター' 13466, 連続' 1536, 熱戦' 6025, 二つ' 971, 顔負け' 4867, 万' 606, writes' 16494, 等分' 20607, miso' 9905, セルチュク' 9340, ウェストブロミッジ' 21848, 奈落' 23523, 一種' 719, 暴行' 13910, 禁' 15453, ヘロヘロ' 21840, パスミス' 13702, 顕著' 7582, アフガニスタン' 14457, ツモ' 21513, 無法' 623, 新語' 10872, フィダンザ' 20878, ナビゲーター' 11195, 西北西' 2444, 身動き' 14799, 最近' 994, スコットランド' 11901, ふみ' 1735, 目配せ' 22916, パンナコッタ' 18408, 家系' 2591, スポニチアネックス' 7466, 上がり' 1872, 全般' 6944, 伝染' 21903, 法要' 11124, まばら' 22876, sex' 12392, 若干' 884, 到達' 12127, パワハラ' 4904, 弁護' 17942, イラク' 8707, 弱腰' 23447, ヴィッセル' 16202, エピソード' 1578, さゆり' 7907, 3360' 18844, 即座' 12668, 舎' 4513, キャスティング' 4476, 鵜呑み' 17379, 剛毛' 6442, 件数' 13923, タ' 15220, イオ' 15589, 命令' 3047, 正二' 17552, 満塁' 5989, トリマー' 13203, 300' 6255, アッパー' 5879, マクガイア' 9285, 971' 19907, バシバシ' 18757, ネガティブ' 5346, 同封' 12099, 供養' 11133, 天使' 8030, キャプテン' 5111, 相撲とり' 18412, 配役' 23060, 色目' 21597, 市議会' 20072, 全日' 17428, 地域' 1454, ボリュームフィルムマスカラ' 21966, 合' 8111, 蔑称' 10751, reva' 21572, 沼' 8719, 個々' 5296, とりこ' 10407, 形状' 12745, 合体' 18259, 玉ねぎ' 8121, 勝俣' 1570, event' 18628, 主砲' 10939, モナコ' 19133, 二論' 12841, 美夏' 18528, ひとたび' 21465, 中間' 15066, 刺客' 19831, 古舘' 10117, モダン' 18991, so' 15423, 4324796' 17347, チャージ' 16269, 郵便' 4989, 飛び込み' 13646, 郁美' 19659, 欠陥' 5969, 病状' 13785, 一場' 11347, マサ子' 7505, 満月' 15942, 姿' 76, 貰い手' 18820, ペップ' 16730, 発注' 7871, 呼び出し' 14156, 明暗' 19529, 絶縁' 13166, 的確' 4461, 肉まん' 18074, お子さん' 3145, アイデア' 7256, 交差点' 12831, ナニー' 18523, 眺' 19874, フェブラリー' 20280, 92' 12317, 都知事' 1443, 財政難' 6812, 益田' 16876, パリーグ' 22722, 欠席' 16908, 回復' 2050, ゴング' 17858, プロセス' 8401, ジーパン' 11726, 代償' 19256, ワザ' 11279, 横領' 6560, クラター' 21723, ベースボール' 5681, まさ' 19318, キューティ・ブロンド' 22898, 冷笑' 21157, 出血' 1830, 古賀' 7675, 執筆' 5378, ガルシア' 6638, 本書' 21305, サナエ' 5582, レフト' 16798, 信夫' 5833, 場代' 20221, 時間' 471, 投影' 15943, 夕涼み' 23216, アップル' 15048, ひがし' 11900, 婚期' 4748, 332' 7579, インスピレーション' 11799, 勝谷' 7319, 希美' 13500, 多難' 16238, 中期' 18986, 本望' 19840, 要因' 4104, 派手' 7184, やから' 11104, 女将' 17468, ニュージーランド' 7618, 洗剤' 11007, コハル' 21060, 県民' 3710, 刈り' 13879, 322' 21035, 純情' 3993, 前任' 19777, 金貸し' 13318, なかよし' 12161, ポピュラー' 10336, 西麻布' 20491, 紀代' 20947, 真夜中' 14629, 間' 426, カワイ' 2161, キャベツ' 8124, 月食' 15928, 山菜' 8125, ゆとり' 3548, 高橋' 2264, フルタイム' 7366, テレーロ' 23646, サロコーチ' 17837, バリ島' 15488, シネマ' 18149, 過熱' 17607, ブライトアップパウダー' 13239, 頭脳' 11684, コスメブランド' 13230, アロマオイル' 17987, 六本木' 13839, 貞治' 2551, 圧勝' 17242, 一本松' 21448, キリン' 5202, ポチ' 20851, くりくり' 23109, 大穴' 22363, 目と' 4767, 通用' 3749, 新婦' 5629, もってのほか' 11817, グアム' 10873, レスター・シティ' 20633, 砲' 17419, 仲裁' 11013, 聞き手' 12891, ムッツリ' 12694, マヌケ' 14734, 臨機応変' 14604, しそ' 19377, アイドルヲタク' 17714, 田原' 20033, 形成' 7111, ホリエモン' 18355, 哲夫' 14149, 校則' 20352, 03' 6099, 仙台' 2735, リブート' 11419, ブーケ' 18568, 締切' 14835, 試写' 13361, 表面' 7558, 素人' 16225, バッカ' 7325, だし' 6904, 犯行' 10901, 金メダル' 2545, 泥まみれ' 14286, マゲ' 18409, マスリ' 13823, 片想い' 7542, 代理' 4736, バスケットボール' 19272, サンドラ・ブロック' 23462, 詩織' 17398, 軸' 7472, まり' 22511, 裏' 196, 小出し' 15487, 焼き場' 6529, language' 19711, いくよ' 21586, ラブラブ' 2335, ローサ' 19986, 燃油' 16699, jra' 1522, 合致' 2295, エイジング' 13121, ワキ' 558, 福三' 2688, アドリブ' 10773, 火遊び' 22020, 166' 23373, フェニックス' 19141, 異国' 19332, スタイリスト' 4743, ノース' 21385, 自信' 22, ネタ' 1548, 藍' 13289, まさし' 20205, ベイ' 4274, 対' 1217, バーゲン' 19766, 保水' 5756, 過労' 7967, 猫背' 16649, づまりがひどくなる' 20417, モモ' 9614, 閑示' 16574, 塩漬け' 11911, ア' 23338, 茂雄' 4329, 芸人' 1616, 堪忍袋' 17699, シーフード' 15037, ダンス' 3402, アスファルト' 13338, 和風' 6467, 生え際' 6439, 締り' 3876, 不名誉' 15501, 医学部' 14738, 手土産' 7205, 江田' 12575, ヶ月' 3196, 来月' 2102, 上り' 16437, 都道' 21358, ワッペン' 17734, 脚本' 7125, 義理' 7088, ダブルスカル' 20036, 割り勘' 9874, お茶の子' 20016, 一人娘' 13727, ペンタックス' 3581, 圭介' 22465, 絵本' 5090, 決め' 17153, みそ汁' 5486, dqn' 14564, 受け入れ' 21433, ベースキャンプ' 13485, オムツ' 19336, ら' 192, out' 21493, 年初' 21296, おねがい' 20109, いっぱい' 1720, 色' 42, メロディ' 22455, 志津江' 19982, 配分' 13590, 脈' 8430, 栄治' 5223, 崖っぷち' 5848, チョイアゲ' 19605, 光尊' 14544, ジェット' 14375, 比率' 10381, 星野' 223, 青沼' 20792, 輪切り' 19213, 肴' 19599, つり' 6256, テカリ' 13214, そ' 7150, 起訴' 19856, ｗ杯' 7607, 剣' 22715, 占い' 2430, 払い戻し' 4253, 奈津子' 11388, 時' 80, 片手間' 9760, 木' 4266, 力説' 9227, 由香里' 11253, ょろんさん' 8559, 跡取り' 15444, ひとりひとり' 10948, 解答' 20435, 防水' 11496, 石油' 5771, タジン' 20603, 来日' 3242, づくり' 1873, ぇこくし' 11043, 初演' 14287, 葉子' 17994, 選考' 3028, リミッター' 9848, 死' 1962, 万全' 17212, 従順' 11240, シーズン' 1023, スバラシイ' 5353, ウマ' 15639, シャア' 18310, 周辺' 5961, 1468' 17227, 歯茎' 6431, 和司' 13109, ８' 6372, 鞭' 21461, 謝辞' 21418, 練馬' 20553, 孝子' 12167, 判明' 4305, ♀」' 17512, 干支' 6283, ワル' 20656, 一年中' 12962, 視野' 6549, 風格' 16406, 業態' 21124, pictures' 7836, チャガエフ' 16254, 東北電力' 5206, 森永製菓' 18722, lava' 12275, 笑み' 3583, 裕子' 3524, 兄さん' 17789, ａ子' 13129, 静電気' 20748, 尻目' 13780, 諒' 6637, うるうる' 19964, 吹替' 23083, 家財道具' 17736, 補佐' 14858, 不法' 12865, ダウニー' 14253, セラピスト' 16090, fk' 15628, 形見' 12393, アクティングコーチ' 22220, 処方箋' 21512, 漫画' 485, aps' 16286, 遊び' 1150, 死期' 17456, ルーニー' 20700, マリー' 19284, フィットネストレーナー' 15562, フォロー' 158, うち' 715, 波' 5356, 原子力' 21044, 裁定' 8723, 深入り' 9428, ジャングル' 16360, 87' 9811, パトカー' 23011, 完投' 15510, ノド' 19191, 件名' 17805, 兼任' 11300, 回想' 4699, 襲名' 19978, リストアップ' 16894, スライス' 20594, 交配' 3229, スミコ' 1859, 館' 1078, 7350' 20752, 生き甲斐' 6586, かぼちゃ' 5519, 投球' 3474, 確認' 658, 税込' 8941, ポニーテール' 20004, 不貞' 7959, 右肩' 988, 設置' 9446, 新山' 22517, ジャン' 15001, ウリ' 17019, 落とし' 15845, 扇風機' 13461, イースタン' 20950, 由季' 8996, 洋梨' 22542, 創' 19392, ウェイトトレーニング' 14034, 赤毛' 18471, 浩史' 16234, 夜明け' 8691, ①' 18919, スーツ' 6059, 出欠' 18624, 獣' 13343, 被害' 1425, 27' 1270, スパゲティ' 7742, バシャバシャ' 11409, キャンプイン' 11882, 尊厳' 6534, 和博' 15598, けしからん' 21280, 亜麻' 10670, gunners' 23302, アラサーカップル' 16998, 結末' 11571, 方眼' 16552, 生成' 16061, 佇まい' 15349, 嬢' 3873, 助走' 11223, 権田' 12812, 運動会' 6584, 束縛' 8016, 年越し' 22004, ほん' 13709, 普段' 590, カプセル' 14258, 病' 2003, 縁談' 7815, 上部' 13036, ホラン' 14368, 野生' 20923, 手紙' 7831, 浅香' 19032, 広治' 8330, 排他' 17159, ゴネ' 11192, ファンタジスタ' 7225, スクラップ' 19897, 単行' 3909, 自虐' 8467, 高嶺' 9013, 不発' 18022, デコレーション' 5662, 湖' 13155, 路面' 16441, 顔料' 9396, レンタサイクル' 19515, 横暴' 22518, 改装' 9353, 豪華' 1128, 棚ぼた' 15779, キャビンアテンダント' 7313, サン' 21058, 遣唐使' 15515, 名将' 7860, 購買' 22568, 選定' 13038, ヒットゲームアプリ' 22839, あれこれ' 416, あれ' 785, 端正' 15158, 鉄人' 2806, 離' 21728, 早朝' 3150, スト' 4210, 1994' 17548, ipx' 20161, 規律' 16001, 個展' 20847, 東野' 4125, リナ' 7042, 窓口' 18121. （' 19387, 行き先' 14016, 費用' 3670, 大迫' 20143, デセンザ' 22625, 洞窟' 16692, 差異' 16291, 瀬間' 17487, 伊原' 20386, 隆徳' 16352, 拓' 4828, ファブリーズアロマ' 21135, ツボ' 4744, キツイ' 961, ジュリアナ' 23048, 腰骨' 21424, 経済' 1420, 盛況' 18544, 蛇' 9120, 1953' 19389, 時報' 19873, ホームズ' 11890, 不審' 11671, ルース' 13236, ゴン' 15245, 貴裕' 18188, 肥やし' 20120, 実証' 9070, ルシオ' 20782, フロンターレサポーター' 23508, 生前' 4211, 右端' 14176, 湿度' 12930, 過失' 11027, 耽美' 12696, 正社員' 9724, 奈生' 17832, 満年齢' 21536, 一因' 17217, 受動' 18920, わに' 20148, 様相' 2101, 煙' 21494, ジョンソン' 5564, 担い手' 21796, ファイル' 19670, 左腕' 7782, ボー' 3954, gps' 22196, カタコト' 16702, 安否' 19661, ip' 22436, サイバー' 19853, ♪（' 14190, スケーティング' 13047, フォト・サイード' 21249, 支払い' 11129, 蛍光' 902, 天体' 15937, 男' 324, フレンチ' 11248, ワカメ' 18372, 誤訳' 19939, 厚顔' 16760, 半数' 2746, 鄭' 15190, 子猫' 17626, misogyny' 18683, 品' 3580, away' 23298, ガイドブック' 16425, ニューカレドニア' 16700, 雑学' 22836, 財団' 16046, 封印' 20903, 英里' 20424, ⇔' 20324, 風景' 3961, 反論' 2859, ブラゼル' 8477, 儲け' 3155, 滑' 3612, ジューン' 18571, 十分' 518, 有望' 10836, 荒波' 5908, 細貝' 12193, 避難' 1407, 理大' 20246, vote' 13739, ブロード' 16297, タワー' 19504, 真人' 6161, 出口' 10765, ヨメ' 19491, 慎也' 17271, 両足' 17827, ゼラニウム' 18858, 生え抜き' 16907, 触れ合い' 20340, ナイキ' 12476, しっとり' 8569, 書き込み' 3726, ジェパロフ' 21858, 思' 23177, アレ' 442, ヨネスケ' 5456, 依頼' 2490, カオリ' 9781, 44' 3671, そっ' 11103, 異物' 16651, 設立' 2961, コナン' 18303, 勤労' 15711, 精進' 21405, 金環食' 21144, ログロニェス' 17964, ガス・ヴァン・サント' 18230, 付き合い' 372, バトル' 12013, 武石' 19815, facebook' 4894, kanesanyamete' 2800, 形式' 3915, 美雪' 22234, 馬場' 7635, ｄｋ' 12618, 温かみ' 4721, 情け' 19758, 贅沢' 21, 物心' 6303, 探索' 18441, あの世' 16992, 討論' 14315, 真皮' 17739, ポージング' 11670, 死亡' 7964, クラスメイト' 1670, 三輪田' 15513, リザーブリーグ・ノリッチ' 23301, 主体' 2769, フィーバー' 7776, 符' 11694, 泊まり' 6571, 貧乏くじ' 21762, 旧友' 19280, 勝彦' 11305, 苦手' 3103, 拓哉' 12082, まがい' 11972, いろは' 7102, 成良' 5020, あたり前' 19091, 泳法' 22626, 社宅' 12604, 節々' 20711, よそ見' 17326, ボールタッチ' 22674, 眠' 18322, 目処' 13022, 946' 21824, ピル' 3835, 白黒' 12909, あき' 8273, お辞儀' 14035, アス' 16726, 少年' 1645, トルシエ' 13878, 天秤' 10768, シュワルツコフ' 13176, ベア' 14848, 伊東' 13844, 一行' 13414, 浩次' 7328, 秋子' 17814, 吹聴' 20657, 深雪' 22812, 甲' 14316, 井端' 11839, 例' 7337, 桐生' 22096, 熟味' 16758, 鉛' 18279, ニュース' 1408, 戦術' 11458, 外来' 1766, ソレ' 11037, ペロリ' 7732, 万事' 12663, 今年' 46, 筋金入り' 18868, 威圧' 11973, つげ' 19493, キー' 16154, 気温' 11815, ワッショイ' 21650, トラック' 11597, 1972' 23035, 文系' 3903, クラレンス・セードルフ' 7528, 切腹' 19301, 薄口' 17889, 行方' 7888, derosa' 9649, 年寄り' 17256, はじめ' 1385, まわり' 5770, 独断' 5914, むり' 19789, ニュートラル' 8067, gaba' 11525, ブラ' 1593, 新垣' 15493, 公衆' 22270, プレシャー' 18283, taka' 22342, 断言' 4318, 堀江' 15156, 才' 4950, 終幕' 19956, デートプラン' 17452, スイミング' 16429, コア' 12153, 傍' 3312, 中味' 15862, 北斗' 11304, ロレーナ・オチョア' 14372, セレブランキング' 17258, 詮索' 7995, 走行' 3442, 金子' 8525, 書士' 19805, 詔' 10864, 小説' 2581, 蓄積' 8168, 中部電力' 12757, インカレ' 5100, 八田' 2793, デレデレ' 7683, アセット' 19350, テオ・ウォルコット' 14575, 知名度' 7602, 有能' 12874, ディープインパクト' 16925, 組み立て' 17598, 併設' 18062, ロメ' 19533, 空想' 5904, 神田' 1835, みゆき' 13418, オーダー' 8282, 大型' 195, 仕切り' 15722, ひそか' 14363, 漣' 12332, 全額' 5078, 辞令' 14975, production' 15738, 没後' 16770, 長男' 6320, ウォール' 19274, ペタペタ' 21784, 使命' 20729, 重慶' 11318, バチッ' 14217, 届け' 4548, 無いものねだり' 20660, 強敵' 16415, 化学' 14665, 有紀' 276, 軽' 11053, 返し' 4368, キルスティン・ダンスト' 16293, 勢い' 4032, 歯車' 20831, コンテンポラリー・ブティック・アート・ホテル' 9354, デインズ' 1090, 成績' 2377, タイプ' 353, アプローズ' 10426, 国吉' 21837, ジョディー・フォスター' 6658, 呪文' 15809, 停止' 807, 地色' 22701, 傾' 13043, ノンフィクション' 6657, popteen' 19629, 橋' 10770, ブーム' 7567, 精霊流し' 20254, 丸田' 16353, 防御' 3425, 官' 20344, ブラザー' 8510, ann' 15240, 呼び捨て' 7189, マイナー' 215, 4096557' 17349, 成長' 67, アーネスト' 4222, マグロ' 23352, 優子' 365, ペナントレース' 8760, ローリング' 10232, トマト' 3121, 飲物' 11822, 弱み' 12039, スキル' 1543, 反骨' 10323, 取り返し' 11119, 真希' 1433, in' 13159, 当たりまえ' 22045, 愛' 454, 宇都宮' 18443, タイト' 13883, 今後' 2450, ソーラー' 16615, 一撃' 17197, 再始動' 22238, ウォーター' 1890, 深層' 18533, ペダル' 16436, 角界' 15656, 新作' 13902, ワンストラップシューズ' 5907, 命日' 19016, 尋問' 10913, 大根' 5431, 催淫' 12695, 縁側' 9203, マジック' 9105, 悠長' 11357, デビッド・デラモラ' 19431, 乳' 3888, 編入' 23059, 肉親' 11792, 支出' 8189, 分の' 8481, ノマドワーカー' 9600, チェルノブイリ' 20683, アパレル' 9171, 説法' 18590, ニース' 15404, ナイフ' 18764, 店員' 800, タロット・' 12411, 応' 19884, アナ' 6496, 乗り換え' 20322, aac' 19048, 先月' 2270, テーブル' 877, 右足' 7231, 加賀' 4488, 苦労' 1467, アルガルベカップ' 13768, 仏閣' 13191, 覚え' 12801, 黒須' 8348, 愚痴' 3410, キワド' 17630, 客観' 491, スキンケアライン' 16937, 立石' 15129, 小手先' 2526, チワワ' 21505, watashi' 6996} 23666 words) Filter Dictionary If you need unfiltered. below_bar = int ( len (docs_to_words. 0. 01) print (below_bar) 17 lter_extremes( no_below = below_bar, no_above = 0. 9) no_berow: 使われてる文章がno_berow個以下の単語無視 # no_above: 使われてる文章の割合がno_above以上の場合無視 filtered. filtered_out = set (unfiltered. set (filtered) print. n The following super common/rare words are filtered out. print ( list (filtered_out. 10. print. Vocabulary after filtering. print ( list. 10. d words. len. The following super common/rare words are filtered out... [ 群馬. イノベーション. 高学歴. コートダジュールグルメツアー. 男児. とぐろ. 遠足. ミル. 読売ユース. ハンドボール. Vocabulary after filtering... [ 機. 奥さん. 箱. みんな. 候補. 困惑. 一生懸命. 役. 自由. 全て. 2416 words) dictionary. data. Bag of Words # corpusをid表示に変換する．二次リストで構築しているので内包表記で記述 bow_corpus. c2bow(words) for words in docs_to_words] rialize. data. bow_corpus) 12, 1. 14, 2. 89, 1. 92, 1. 139, 1. 165, 1. 275, 1. 297, 1. 299, 2. 319, 1. 347, 1. 392, 1. 424, 1. 471, 1. 500, 1. 502, 3. 513, 1. 572, 2. 575, 1. 617, 1. 742, 3. 758, 2. 776, 1. 799, 1. 831, 1. 947, 1. 1088, 2. 1096, 4. 1150, 1. 1169, 1. 1178, 1. 1186, 1. 1231, 1. 1287, 2. 1290, 1. 1427, 11. 1479, 3. 1527, 1. 1547, 2. 1579, 2. 1594, 1. 1598, 1. 1634, 1. 1645, 1. 1689, 3. 1735, 2. 1739, 1. 1748, 1. 1771, 1. 1815, 1. 1853, 3. 1936, 1. 1955, 2. 1963, 1. 1983, 1. 2001, 2. 2030, 1. 2059, 2. 2081, 1. 2116, 1. 2150, 3. 2151, 1. 2162, 1. 2326, 2. 2383, 2) bow_corpus = Corpus. data. print (bow_corpus[ 0] 12, 1. 0. 14, 2. 0. 89, 1. 0. 92, 1. 0. 139, 1. 0. 165, 1. 0. 275, 1. 0. 297, 1. 0. 299, 2. 0. 319, 1. 0. 347, 1. 0. 392, 1. 0. 424, 1. 0. 471, 1. 0. 500, 1. 0. 502, 3. 0. 513, 1. 0. 572, 2. 0. 575, 1. 0. 617, 1. 0. 742, 3. 0. 758, 2. 0. 776, 1. 0. 799, 1. 0. 831, 1. 0. 947, 1. 0. 1088, 2. 0. 1096, 4. 0. 1150, 1. 0. 1169, 1. 0. 1178, 1. 0. 1186, 1. 0. 1231, 1. 0. 1287, 2. 0. 1290, 1. 0. 1427, 11. 0. 1479, 3. 0. 1527, 1. 0. 1547, 2. 0. 1579, 2. 0. 1594, 1. 0. 1598, 1. 0. 1634, 1. 0. 1645, 1. 0. 1689, 3. 0. 1735, 2. 0. 1739, 1. 0. 1748, 1. 0. 1771, 1. 0. 1815, 1. 0. 1853, 3. 0. 1936, 1. 0. 1955, 2. 0. 1963, 1. 0. 1983, 1. 0. 2001, 2. 0. 2030, 1. 0. 2059, 2. 0. 2081, 1. 0. 2116, 1. 0. 2150, 3. 0. 2151, 1. 0. 2162, 1. 0. 2326, 2. 0. 2383, 2. 0) TF-IDF from gensim import models # tfidfモデルの構築とcorpusの変換 tfidf_instance = idfModel(bow_corpus) tfidf_corpus = tfidf_instance[bow_corpus] rialize. data. tfidf_corpus) check it for i in tfidf_corpus: print (i) break [ 12, 0. 04469477533909028. 14, 0. 017780851634016406. 89, 0. 09080662236177807. 92, 0. 11207797232883976. 139, 0. 02679396421227922. 165, 0. 0036071820301211786. 275, 0. 08616450896499595. 297, 0. 09879931149016154. 299, 0. 12223060992686632. 319, 0. 023224218835339157. 347, 0. 08435430538478843. 392, 0. 08349714479989477. 424, 0. 08569922689438529. 471, 0. 023583968639046993. 500, 0. 053138291478229224. 502, 0. 2690883974771345. 513, 0. 06899955187088218. 572, 0. 1264507696034308. 575, 0. 06699075719560448. 617, 0. 03394535904813783. 742, 0. 1492207285519063. 758, 0. 14038265647682543. 776, 0. 06876801866677838. 799, 0. 06268053165112765. 831, 0. 009924831164576223. 947, 0. 019489475373546304. 1088, 0. 08310322213610924. 1096, 0. 14879664614804586. 1150, 0. 0891592631856746. 1169, 0. 058107595786128244. 1178, 0. 01760277135452919. 1186, 0. 033560680701967764. 1231, 0. 06699075719560448. 1287, 0. 0906087654065411. 1290, 0. 03608585932863587. 1427, 0. 6097295807194345. 1479, 0. 2707352018467035. 1527, 0. 07754629290868534. 1547, 0. 04924080568089546. 1579, 0. 133554846698426. 1594, 0. 06720597065956807. 1598, 0. 05301706755624276. 1634, 0. 011530308370195506. 1645, 0. 06378266912853434. 1689, 0. 18037470883366205. 1735, 0. 05085529713097901. 1739, 0. 05708663529055293. 1748, 0. 09727215360478984. 1771, 0. 04368387645347156. 1815, 0. 03531223702676021. 1853, 0. 24923875927300143. 1936, 0. 0891592631856746. 1955, 0. 03452936388263916. 1963, 0. 08307958642433382. 1983, 0. 08435430538478843. 2001, 0. 12681947429915214. 2030, 0. 07503880401373514. 2059, 0. 1434054642553174. 2081, 0. 066777423349213. 2116, 0. 017546097152431463. 2150, 0. 034856913462292506. 2151, 0. 09879931149016154. 2162, 0. 1107572955558698. 2326, 0. 04104479809841046. 2383, 0. 14775082826834232) Convert To Vector Dense Matrix as a Vector from gensim import matutils def get_vector ( dictionary, words) ある記事の特徴語カウント tmp = c2bow(words. Convert from sparse gensim format to dense list of numbers. dense = list (rpus2dense( tmp] num_terms = len (dictionary. T[ 0] return dense dense_vecs. for words in docs_to_words: get_vector(dictionary, words) dense_vecs. dense_vecs) Our documents expressed as points in len(dense_vecs[0] dimensional space. print ( len (dense_vecs) print ( len (dense_vecs[ 0] print ( len (dense_vecs[ 1] 2416 The Curse of Dimensionality There are all kinds of terrible things that happen as the dimensionality of your descriptor vectors rises. One obvious one is that as the dimensionality rises, both the time and space complexity of dealing with these vectors rises, often exponentially. Another issue is that as dimensionality rises, the amount of samples needed to draw useful conclusions from that data also rises steeply. Another way of phrasing that is with a fixed number of samples, the usefulness of each dimension diminishes. Finally, as the dimensionality rises, your points all tend to start becoming equidistant to each other, making it difficult to draw solid conclusions from them. The umbrella term that covers all these adverse effects of high dimensionality is “the curse of dimensionality. ” Source: Practice: Latent semantic indexing(LSI) Latent semantic indexing(LSI)を使ってベクトル空間の次数をトピック数まで落とす Dimensionality reduction using LSI. Go from 2063D to 2D. # lsiモデルの構築とcorpusの変換 num_topics = 2 lsi_instance = iModel( corpus = tfidf_corpus, num_topics = num_topics, id2word = dictionary) lsi_corpus = lsi_instance[tfidf_corpus] for i, v in enumerate (int_topics. print. Topic. i. v) Topic 0: 0, 0. 181* さん. 0. 180* 結婚. 0. 132* 女. 0. 130* 彼. 0. 126* 歳. 0. 117* 女性. 0. 107* 男性. 0. 101* 自分. 0. 100* 男. 0. 096* 人" Topic 1: 1, 0. 202* 結婚. 0. 192* 氏. 0. 181* 代表. 0. 178* 監督. 0. 164* 試合. 0. 162* 日本. 0. 150* 選手. 0. 145* 戦. 0. 137* サッカー. 0. 129* 女" for i in lsi_corpus: 0, 0. 18336393089262268. 1, 0. 21866394477624015) lsi_vecs. for lsi_vec in lsi_corpus: vec = list (rpus2dense( lsi_vec] num_terms = num_topics. T[ 0] vec) print (lsi_vecs[ 0] 0. 18336393, 0. 21866395] lsi_vecs. lsi_vecs) LDA # ldaモデルの構築とcorpusの変換 lda_instance = models. LdaModel( corpus = bow_corpus, num_topics = num_topics, id2word = dictionary, alpha. auto. eval_every = 5) lda_corpus = lda_instance[bow_corpus] Topic 0: 0, 0. 024* の. 0. 018* こと. 0. 014* さん. 0. 014* ん. 0. 012* 日. 0. 010* 人. 0. 010* よう. 0. 009* 歳. 0. 008* 年. 0. 007* 日本" Topic 1: 1, 0. 030* の. 0. 026* こと. 0. 019* さん. 0. 018* 人. 0. 011* ん. 0. 010* 自分. 0. 010* 歳. 0. 009* 女性. 0. 009* 女. 0. 009* 結婚" for i in lda_corpus: 0, 0. 98368026048572632. 1, 0. 016319739514273741) lda_vecs. for lda_vec in lda_corpus: vec = list (rpus2dense( lda_vec] num_terms = num_topics. T[ 0] print (lda_vecs[ 0] 0. 98368013, 0. 016319871] lda_vecs. lda_vecs) Doc2Vec # labeledSentences = beledLineSentence(docs_to_words) print(labeledSentences) print(type(labeledSentences) sentences. beledSentence( words = words, tags. names[i. for i, words in enumerate (docs_to_words) model = c2Vec(sentences, min_count=0) import collections PASSING_PRECISION = 95 model = c2Vec( alpha = 0. 025, min_alpha = 0. 025, size = 20, sample = 1e-4, min_count = 1, workers = 4. use fixed learning rate _vocab(sentences) for epoch in range ( 100) print. epoch. epoch) sentences) 0. 002 # decrease the learning rate if. 0: model. min_alpha. fix the learning rate, no decay ranks. for doc_id in range ( 100) inferred_vector = fer_vector(sentences[doc_id] sims = st_similar( inferred_vector] topn = len (cvecs) rank. docid for docid, sim in sims] sentences[doc_id] 0] rank) print (unter(ranks) if unter(ranks) 0. PASSING_PRECISION: epoch: 0 Counter( 3: 2, 8: 2, 29: 2, 59: 2, 180: 2, 258: 1, 260: 1, 5: 1, 266: 1, 173: 1, 273: 1, 786: 1, 280: 1, 25: 1, 28: 1, 30: 1, 31: 1, 800: 1, 347: 1, 177: 1, 41: 1, 810: 1, 555: 1, 605: 1, 49: 1, 50: 1, 825: 1, 570: 1, 316: 1, 10: 1, 62: 1, 64: 1, 66: 1, 581: 1, 72: 1, 330: 1, 588: 1, 334: 1, 849: 1, 86: 1, 600: 1, 15: 1, 58: 1, 94: 1, 97: 1, 188: 1, 108: 1, 18: 1, 573: 1, 112: 1, 116: 1, 124: 1, 128: 1, 134: 1, 136: 1, 706: 1, 655: 1, 669: 1, 158: 1, 671: 1, 161: 1, 162: 1, 165: 1, 428: 1, 429: 1, 176: 1, 689: 1, 434: 1, 542: 1, 441: 1, 444: 1, 190: 1, 191: 1, 194: 1, 715: 1, 456: 1, 203: 1, 212: 1, 213: 1, 249: 1, 472: 1, 222: 1, 479: 1, 481: 1, 482: 1, 740: 1, 487: 1, 380: 1, 490: 1, 39: 1, 240: 1, 753: 1, 244: 1, 505: 1, 767: 1} epoch: 1 Counter( 0: 41, 1: 12, 2: 9, 3: 5, 4: 5, 9: 4, 5: 3, 7: 2, 11: 2, 12: 2, 6: 1, 8: 1, 13: 1, 16: 1, 82: 1, 67: 1, 21: 1, 27: 1, 92: 1, 29: 1, 28: 1, 18: 1, 47: 1, 49: 1, 60: 1} epoch: 2 Counter( 0: 89, 2: 4, 1: 2, 4: 2, 3: 1, 8: 1, 18: 1} epoch: 3 Counter( 0: 98, 1: 2} prediction inferred_vector = fer_vector(sentences[ 0] inferred_vector array( 2. 41227552e-01, 5. 34505427e-01, 4. 15201843e-01, 1. 88185245e-01, 7. 24263012e-01, 9. 44669992e-02, 6. 20496452e-01, 2. 66757578e-01, 3. 07681113e-01, 5. 91222882e-01, 3. 42684418e-01, 4. 45617259e-01, 1. 30321026e-01, 5. 85103571e-01, 5. 64498652e-04, 5. 57440892e-02, 6. 19268358e-01, 4. 04455513e-01, 6. 35762215e-01, 5. 50295599e-02] dtype=float32) trained data docvec = cvecs[names[ 0] docvec array( 0. 76059204, 1. 29758239, 0. 64568675, 0. 36754528, 1. 03027308, 0. 78136116, 1. 46955407, 0. 2390646, 0. 79819453, 0. 85182685, 0. 28336912, 1. 76078153, 0. 22330846, 0. 97523546, 0. 09429295, 0. 32754728, 1. 11507058, 0. 59572035, 1. 0652355, 0. 00553207] dtype=float32) PCA corpus2dense: len(dense_vecs[0] D. pda: 2D from sklearn import decomposition pca. n_components = 2) corpus2dense_pca_vecs. dense_vecs. transform(dense_vecs) array. 6. 78172255, 1. 66985631] 5. 63002157, 1. 52248645] 8. 24818516, 0. 02516069. [ 14. 36356831, 10. 03103733] 5. 97133541, 2. 16748238] 7. 49005604, 0. 15480137. dtype=float32) doc2vec: 20D. pda: 2D doc2vec_pca_vecs. cvecs. transform(cvecs) array. 2. 18415618, 0. 58114874] 2. 44849586, 1. 18638182] 2. 39940715, 0. 63928264. [ 4. 91076088, 1. 56503129] 1. 34858119, 0. 76510018] 2. 3825593, 0. 64904439. dtype=float32) Plot Results import as plt import seaborn as sns% matplotlib inline. ' class1. len (names) dtype = bool) class2. len (names) dtype = bool) class1 array( True, True, True. True, True, True] dtype=bool) for i, name in enumerate (names) if " sports-watch " in name: class1[i. True class2[i. False elif " dokujo-tsushin " in name: class1[i. False class2[i. True else: print. ERROR " print (class1) print (class2) True True True. False True True] False False False. True False False] 900, 2) 870, 2) def Plot ( x, y, c = None) figsize. 20, 10) atter( x[class1] y[class1] color. red " alpha = 0. 5) x[class2] y[class2] color. blue. x. y ' Plot(corpus2dense_pca_vecs. 0] corpus2dense_pca_vecs. 1] Plot(lsi_vecs. 0] lsi_vecs. 1] Plot(lda_vecs. 0] lda_vecs. 1] Plot(doc2vec_pca_vecs. 0] doc2vec_pca_vecs. 1.

Product details Audio Subtitles Quality 480p, 720p, 1080p, 2K, 4K Genres Thriller, Action, Comedy, Crime Director Adil El Arbi, Bilall Fallah Writer Peter Craig, Peter Craig, George Gallo, Joe Carnahan, Chris Bremner, Joe Carnahan Stars Will Smith, Joe Pantoliano, Vanessa Hudgens, Alexander Ludwig Country USA Also Known As Os Bad Boys III, Bad Boys Para Sempre, Băieţi răi 3, Bad boys for life, Pahad poisid 3, Pasele vyrukai amziams, Bad Boys: Mindörökké rosszfiúk, Bad Boys For Life, バッドボーイズ　フォー・ライフ, Bad Boys Navzdy, Bad Boys 3, Những Gã Trai Hư Trọn Đời, Bad Boys para siempre, Zločesti dečki 3 Runtime 2H 3M Download thriller «Bad Boys for Life» Customers who watched comedy also watched.

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1952. star=Leopoldo Trieste. Federico Fellini. directors=Federico Fellini. The first two days of a marriage. Ivan, a punctilious clerk brings his virginal bride to Rome for a honeymoon, an audience with the Pope, and to present her to his uncle. They arrive early in the morning, and he has time for a nap. She sneaks off to find the offices of a romance magazine she reads religiously: she wants to meet "The White Sheik," the hero of a soap-opera photo strip. Star-struck, she ends up 20 miles from Rome, alone on a boat with the sheik. A distraught Ivan covers for her, claiming she's ill. That night, each wanders the streets, she tempted by suicide, he by prostitutes. The next day, at 11, is their papal audience. Can things still right themselves?. genre=Drama.

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Grazie per averlo caricato, capolavoro assoluto, la Masina è inarrivabile. Hidden network cloud where download lo sceicco bianco di. Ah, Giuletta Masina Ah, vídeo de uma outra luz Pálpebras de neblina, pele d'alma Giuletta Masina. I love how Fellinni used children to reenforce the outcast persona of his characters. As if they were irrelevant to proper society or something. Qualcuno mi spiega cosa dice Totò al 10:13 ? La luce che si spense! e poi? Michel Strogoff. Alberto Sordi. semplicemente un grande. Major Tamas,wazze. Crude realta' di ieri, ma anche di avantieri, e di oggi e domani pure. Cambiano i nomi delle vie, cambiano i gusti alimentari, cambiano le discipline scolastiche, cambiano i lavori e le ideologie politiche-religiose, ma l'uomo non cambia mai. Quanti Zampano' e Gelsomina vediamo ogni la ragione per cui concludo che Fellini e' sempre attuale. non morira' MAI. grazie.

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Cabaret (An Interactive Screening) Cabaret: Special Event Cabin In The Sky Calamity Jane (Dementia Friendly Screening) Call Me By Your Name Can You Ever Forgive Me? Capernaum The Captive (La Captive) Carol Carousel Carry On Cleo Carry On Cleo (Dementia Friendly And Relaxed Screening) Cats Cats (Autism Friendly Screening) Cats (Dementia Friendly Screening) Cats (Parent And Baby Screening) Cats (Subtitled) Cattle Hill Cattle Hill (Autism Friendly Screening) The Cave Chapter MovieMaker: Short Films Chariots Of Fire Charlie's Angels Charlie's Angels (Parent And Baby Screening) Cheaper By The Dozen Chhapaak The Children Act China Love Chorley On Film Citizen K Classic Spring Theatre Company Live Encore Screening: A Woman Of No Importance Cleanin' Up The Town: Remembering Ghostbusters The Clowns Cocktail (1988 Film) Coco Before Chanel Cold War Colette Comedie Francaise: Les Fourberies De Scapin + Q&A Contact Coraline Corpus Christi Cover Girl Crazy, Stupid, Love Creativity And Curiosity Cria Cuervos (Raise Ravens) Cruising Cult Classics (Over 18s) Cyrano De Bergerac Cyrano De Bergerac (1923 Version. Live Musical Accompaniment D D-Day, Normandy 1944 3D Dagaalty Daniel Isn't Real Daniel Sloss: X Darbar The Day Shall Come Deep End Deep Sea 3D Diabolique Diamonds Of The Night Diego Marcon Dil Dhadakne Do + Introduction Dinosaurs In A Mining Facility Dirty Dancing (Sing-A-Long) Disco Raja Dogman Dolittle Dolittle (Autism Friendly Screening) Dolittle (Parent And Baby Screening) Dolittle (Subtitled) Donbass The Doors: Break On Thru - A Celebration Of Ray Manzarek Dora And The Lost City Of Gold Dora And The Lost City Of Gold (Subtitled) Downton Abbey Downton Abbey (Subtitled) Dream Big: Engineering Our World 3D: An IMAX Experience Dykes, Camera, Action! E E. T. The Extra-Terrestrial E. The Extra-Terrestrial (Autism Friendly Screening) East Of Eden Echo El Topo Eltilerin Savasi The Emperor's Naked Army Marches On + Introduction Endurance (South) Endurance (South. Introduction Episodic Fellini Eternal Beauty + Q&A Eternal Sunshine Of The Spotless Mind Everybody Knows Everything - The Real Thing Story Everything But A Man Ex Machina Exhibition On Screen: Leonardo: The Works Exhibition On Screen: Lucian Freud: A Self Portrait Extreme Private Eros: Love Song 1974 F Family Film Club Fando Y Lis Fantazii Faryateva + Talk The Farewell The Favourite Fear Eats The Soul Federico Fellini's 8 1/2 Fellini Satyricon Fellini's Casanova Fellini: A Director's Notebook + Orchestra Rehearsal Fellow Traveller + Introduction The Film Not The Country Finis Terrae Fisherman's Friends Fitzcarraldo Flight Of The Phoenix (1965 Version) The Florida Project The Fly Follow That Bird For Sama For Sama + Q&A Forbidden Foxtrot From Here To Eternity (Dementia Friendly Screening) Frozen Frozen (Sing-A-Long Version) Frozen II Frozen II (Autism Friendly Screening) Frozen II (Sing-A-Long) Frozen II (Subtitled) The Full Monty Funny Face Funny Games (1996 Film) G The Garden Gauguin From The National Gallery Gaza Gentleman's Agreement The Gentlemen The Gentlemen (Subtitled) Gentlemen Prefer Blondes (Dementia Friendly Screening) Gerry Ghost Girlhood The Glenn Miller Story (Dementia Friendly Screening) God's Own Country The Gold Rush The Golem (Der Golem, Wie Er In Die Welt Kam. Live Musical Accompaniment The Good Liar The Good Liar (Subtitled) Good Newwz Good Posture Good Time Goodbye CP The Graduate Grave Of The Fireflies Grease Grease + Live Musical Accompaniment The Greatest Showman (Sing-Along) Greece: The Hidden War Part 2 & 3 Green Book Greener Grass Groundhog Day The Grudge The Grudge (Subtitled) The Gruffalo Gul Makai H Hammett Happy As Lazzaro Happy Birthday, Mr Joyce! Harriet Harriet (Subtitled) Harry Potter And The Philosopher's Stone Heart Beat Ear Drum + Live Music Hell Drivers + Introduction Hellaro Hellzapoppin' Her Sketchbook Her Sketchbook + Q&A Hidden Universe 3D: An IMAX Experience High Society (Dementia Friendly Screening) Hitler, Stalin And Mr Jones + Q&A The Holy Mountain Home Honey Boy Honeyland The Horse Thief The Host (2006 Film) The House Where The Mermaid Sleeps Hubble 3D Human Nature Human Nature + Q&A Hunting For Hedonia Hustlers I I Go Gaga, My Dear I Snuck Off The Slave Ship + The Man Is The Music I Vitelloni Icerdekiler + Q&A Ichi The Killer If Beale Street Could Talk Imperial Blue + Q&A In Safe Hands In Search Of Beethoven In Search Of Mozart Inception 15/70mm: The IMAX Experience Indian Space Dreams + Q&A Inside Out Instant Family Interstellar: The IMAX Experience 70mm The Intruder (L'Intrus) Irish Shorts The Irishman The Irishman (Subtitled) The Iron Giant It Came From Outer Space J Jaanu Jak Zostalem Gangsterem. Historia Prawdziwa Jawaani Jaaneman Jesus Jewish Britain On Film Jihad Jane + Q&A Jinde Meriye Joan Of Arc Of Mongolia Jodorowsky's Dune Jojo Rabbit Jojo Rabbit (Parent And Baby Screening) Jojo Rabbit (Subtitled) Jojo Rabbit + Q&A Joker Joker 70mm Judy Judy & Punch Judy & Punch (Subtitled) Judy (Parent And Baby Screening) Juliet Of The Spirits Jumanji: The Next Level Jumanji: The Next Level (Autism Friendly Screening) Jumanji: The Next Level (Parent And Baby Screening) Jumanji: The Next Level (Subtitled) Jumanji: Welcome To The Jungle Jungle Book (1942 Film) Just Mercy Just Mercy (Parent And Baby Screening) Just Mercy (Subtitled) K Kaisa's Enchanted Forest + Birds In The Earth Kakegurui Kendal Mountain Film Festival Tour 2020 Khatre Da Ghuggu Kind Hearts And Coronets (Dementia Friendly Screening) The Kindergarten Teacher King Kong (1933 Version) The King's Speech The Kingmaker Kinky Boots The Musical Knives Out Knives Out (Subtitled) Koyaanisqatsi + Introduction Kusama: Infinity + Q&A L La Belle Epoque La Dolce Vita La La Land La Petite Fabrique De Nuages La Strada Labyrinth Lady Bird The Last American Freak Show + Shorts The Last Black Man In San Francisco Last Christmas Last Christmas (Subtitled) The Last Tree Le Grand Voyage Le Mans '66 Leave No Trace The Legend Of The Suram Fortress Leto The Lighthouse The Lighthouse (Parent And Baby Screening) The Lighthouse (Subtitled) The Lighthouse + Introduction The Lighthouse + Q&A The Lion King The Lion King (Autism Friendly Screening) Little Nights, Little Love Little Rippers Film Club Little Women Little Women (Autism Friendly Screening) Little Women (Parent And Baby Screening) Little Women (Subtitled) Liverpool Family Ties: The Irish Connection Lo Sceicco Bianco (The White Sheik) London Rolling Film Festival Long Day's Journey Into Night Lost Highway Lost In Translation Love Actually Love Me Tender (Dementia Friendly Screening) Lucas And Albert Lucy In The Sky Lying To Mom M MOTHER Mad Max: Fury Road Black & Chrome Edition Madama Butterfly On Sydney Harbour Encore Screening Maiden Malang: Unleash The Madness Maleficent Maleficent: Mistress Of Evil Maleficent: Mistress Of Evil (Subtitled) Mali Blues The Maltese Falcon Mamma Mia! Man On A Tightrope Man On The Moon The Man Who Killed Don Quixote The Man Who Killed Don Quixote (Parent And Baby Screening) The Man Who Killed Don Quixote + Q&A Mancunia + Q&A Margot At The Wedding 35mm Marriage Story Marriage Story (Parent And Baby Screening) Mary Poppins Returns The Matrix Matthew Bourne's Romeo + Juliet Maudie Mean Girls Messy Goes To Okido Metropolis (1927 Version) The Metropolitan Opera Live Encore Screening: Porgy And Bess The Metropolitan Opera Live: Porgy And Bess Midnight Cowboy Midnight Family + Q&A Midnight Traveler Midnight Traveler (Parent And Baby Screening) Midway The Midwife Miles Davis: Birth Of The Cool Miss Americana Missing Link Missing Link (Subtitled) Monos Monty Python And The Holy Grail Moonlight Motherless Brooklyn The Mountain Mr & Mrs Smith Mr India Mr Jones Mr Jones (Parent And Baby Screening) Mr. Jones + Q&A Mrs Lowry & Son Mujeres: Women On Film Mulholland Drive Muriel's Wedding + Q&A The Mustang My Dad Is A Heel Wrestler My Friend Fela + Q&A My Love Story! My Polish Honeymoon Mystery Movie N NT Live Encore Screening: All About Eve NT Live Encore Screening: All My Sons NT Live Encore Screening: Hansard NT Live Encore Screening: Present Laughter NT Live Encore Screening: Small Island NT Live Encore Screening: The Lehman Trilogy NT Live: Small Island NT Live: The Lehman Trilogy The Navy Lark Nebraska Network (1976 Film) Newsreel The Nightingale Nights Of Cabiria (Le Notti De Cabiria) No Fathers In Kashmir No Fathers In Kashmir + Q&A Non-Fiction Nosferatu + Live Music Accompaniment Not One Less (Yi Ge Dou Bu Neng Shao) The Notebook Nothing But A Man Notorious (1946 Film) O OK Jaanu Official Secrets Okja On Moonlight Bay On The Waterfront Once Upon A Time. In Hollywood Once Upon A Time. In Hollywood 35mm One Piece: Stampede One Piece: Stampede (Dubbed) Ordinary Love Ordinary Love (Subtitled) Organ Oscar Nominated Short Films 2020: Live Action Oscar Nominated Shorts: Live Action Oscar Week: Animated Shorts The Other Side Of Hope Our Meal For Tomorrow Outside The City Outside The City + Q&A P PAW Patrol: Ready, Race, Rescue! PAW Patrol: Ready, Race, Rescue! Autism Friendly Screening) Paddington Pain & Glory The Painted Bird Pal Joey Panga Panic In The Streets Parasite Parasite (Autism Friendly Screening) Parasite (Parent And Baby Screening) Parasite + Discussion Parasite + Q&A Pather Panchali Pattas Pavarotti The Peanut Butter Falcon Pearly Oyster Productions: A Retrospective The Personal History Of David Copperfield The Personal History Of David Copperfield (Autism Friendly Screening) The Personal History Of David Copperfield (Dog Friendly Screening) The Personal History Of David Copperfield (Parent And Baby Screening) The Personal History Of David Copperfield (Subtitled) The Personal History Of David Copperfield (Subtitled. Parent And Baby Screening) The Personal History, Adventures, Experience & Observation Of David Copperfield The Younger Phoenix Nights: Series 1 Phoenix Nights: Series 1 & 2 Pieta Pink Flamingos 35mm Pink Wall Pinky Pinky + Introduction Pinocchio (1940 Film) Playing With Fire Playing With Fire (Autism Friendly Screening) Playing With Fire (Subtitled) Playmobil: The Movie Plus One Pokemon Detective Pikachu Poor Cow Portrait Of A Lady On Fire + Q&A rfect. Pride Pride Short Film Night 2020 Princess Mononoke Process The Proposition + Q&A Psy 3: W Imie Zasad Q Queen & Slim Queen & Slim (Autism Friendly Screening) Queen & Slim (Dog Friendly Screening) Queen & Slim (Parent And Baby Screening) Queen & Slim (Subtitled) Queen & Slim + Discussion Queen & Slim + Q&A Quezon's Game R Rafadan Tayfa 2: Gobeklitepe Rafiki The Raft Rapsodia Satanica Rear Window 35mm Rebecca (1940 Film) Red Joan The Report Rewinding The Welfare State: A Social History Of The North East On Film The Rhythm Section The Rhythm Section (Subtitled) Richard Jewell Richard Jewell (Parent And Baby Screening) Richard Jewell (Subtitled) Ride Your Wave Rocketman The Rocky Horror Picture Show (Sing-A-Long) Rojo Roma (1972 Film) Roman Holiday Romeo And Juliet The Room: Special Event The Rough Cut Royal Ballet Live Encore Screening: The Sleeping Beauty Royal Opera Live Encore Screening: La Boheme Royal Opera Live: La Boheme The Runaways The Runaways (Autism Friendly Screening) The Runaways + Q&A S SQIFF Shorts: Out Of The Archives Salt Of The Earth The Saragossa Manuscript Sauvage Scandal + Q&A The Sea Of Grass Sea Of Revival Seberg Seberg (Parent And Baby Screening) Seberg (Subtitled) The Secret Life Of Pets 2 Sennan Asbestos Disaster Seven Brides For Seven Brothers (Dementia Friendly Screening) The Seven Samurai The Seventh Seal (Det Sjunde Inseglet) Shadowfall Shakespeare In Love Sherlock Gnomes Sherlock Jr + Live Music Accompaniment Shextreme Film Tour Shoah Short Film Evening + Q&A Show Me The Picture: The Story Of Jim Marshall Show Me The Picture: The Story Of Jim Marshall + Q&A Shutter Island Sian Hutchings: Quietly Beneath The Silence Of The Lambs Six Nations Rugby: England Vs France Six Nations Rugby: Ireland Vs Scotland Six Nations Rugby: Ireland Vs Wales Six Nations Rugby: Wales Vs Italy Snoopy And Charlie Brown: The Peanuts Movie So Long, My Son Society Solidarity Sometimes Always Never Sons Of Denmark Sorry We Missed You The Souvenir The Souvenir + Talk Space Station 3D Spies In Disguise Spies In Disguise (Autism Friendly Screening) Spies In Disguise (Parent And Baby Screening) Spies In Disguise (Subtitled) Spit That Out: North West Artist Film Programme Spy Kids Stage Russia: The Brothers Karamzov Star Wars Episode IX: The Rise Of Skywalker Star Wars Episode IX: The Rise Of Skywalker (Autism Friendly Screening) Star Wars Episode IX: The Rise Of Skywalker (Parent And Baby Screening) Star Wars Episode IX: The Rise Of Skywalker (Subtitled) Star Wars Episode IX: The Rise Of Skywalker 3D Star Wars Episode IX: The Rise Of Skywalker: An IMAX 3D Experience Star Wars Episode IX: The Rise Of Skywalker: The IMAX Experience StarDog And TurboCat StarDog And TurboCat (Autism Friendly Screening) Steve: Saving Men From Suicide Stigmata Stolen Life + Introduction The Street Street Dancer Street Dancer 3D Sunset Boulevard The Sword In The Stone T Talking About Trees Tangerine Tanhaji Team America: World Police Ten Dark Women (Kuroi Junin No Onna) Teranga + Q&A Thelma And Louise Thelma And Louise (Parent And Baby Screening) Them That Follow Theorem To Kill A Mockingbird To The Arctic 3D Toddler Time Tomboy Top Hat Toy Story 4 Trainspotting The Treasure Of The Sierra Madre The Trip To Greece + Introduction The Trip To Greece + Q&A Tron True Romance The Truman Show The Turning Turtle Rock The Two Popes The Two Popes (Parent And Baby Screening) U UglyDolls Ulysses The Umbrellas Of Cherbourg Un Homme Et Une Femme Uncut Gems Uncut Gems 35mm Under The Sea 3D: An IMAX 3D Experience Underdog + Talk Underwater Underwater (Parent And Baby Screening) Underwater (Subtitled) Undo + Orange Bombs + My Dishevelled Hair Undocument The Unorthodox Us V Varane Avashyamund Videodrome Viridiana Vita & Virginia Viva Zapata! W WALL-E WALL-E (Autism Friendly Screening) The Wages Of Fear (Le Salaire De La Peur) Waiting For Anya + Q&A Waiting To Exhale Wakeful Walkabout Walking With Dinosaurs: Prehistoric Planet: An IMAX 3D Experience Water Lilies (Naissance Des Pieuvres) 35mm Waves Waves (Subtitled) We Need To Talk About Kevin We Need To Talk About Kevin 35mm Weathering With You Weathering With You (Dubbed) Weathering With You (Parent And Baby Screening) Weathering With You: The IMAX Experience Werckmeister Harmonies (Werckmeister Harmoniak) Western Stars + Q&A When A Man Loves A Woman When Tomatoes Met Wagner Whisky Galore! 1949 Film) William Shakespeare's Romeo + Juliet Willy Wonka And The Chocolate Factory The Windrush Journey Of Mental Health + Q&A Woman At War Women In Horror Wonder Park World Famous Lover X XY Chelsea Y Yesterday Yesterday (Autism Friendly Screening) You've Got Mail Z Zakhmi Zama.

Download Full Movie Look at the page Watch Full Watch Lo sceicco bianco Online Earnthenecklace. Hidden network cloud where download lo sceicco bianco d. Film assolutamente STRAORDINARIO. Υπέροχη ταινία. Μαγευτιkή μουσική! Hellas. Nino Rota Nino Rota (left) with Riccardo Bacchelli and Bruno Maderna in 1963 Born Giovanni Rota Rinaldi 3 December 1911 Milan, Italy Died 10 April 1979 (aged 67) Rome, Italy Occupation Composer Children Nina Rota Website www. ninorota Giovanni Rota Rinaldi ( Italian: dʒoˈvanni ˈrɔːta riˈnaldi] 3 December 1911 – 10 April 1979) better known as Nino Rota. niːno. was an Italian composer, pianist, conductor and academic who is best known for his film scores, notably for the films of Federico Fellini and Luchino Visconti. He also composed the music for two of Franco Zeffirelli 's Shakespeare films, and for the first two films of Francis Ford Coppola 's Godfather trilogy, receiving the Academy Award for Best Original Score for The Godfather Part II (1974. During his long career, Rota was an extraordinarily prolific composer, especially of music for the cinema. He wrote more than 150 scores for Italian and international productions from the 1930s until his death in 1979—an average of three scores each year over a 46-year period, and in his most productive period from the late 1940s to the mid-1950s he wrote as many as ten scores every year, and sometimes more, with a remarkable thirteen film scores to his credit in 1954. Alongside this great body of film work, he composed ten operas, five ballets and dozens of other orchestral, choral and chamber works, the best known being his string concerto. He also composed the music for many theatre productions by Visconti, Zeffirelli and Eduardo De Filippo [1] as well as maintaining a long teaching career at the Liceo Musicale in Bari, Italy, where he was the director for almost 30 years. Early career [ edit] Rota was born Giovanni Rota Rinaldi on 3 December 1911, into a musical family in Milan. Rota was a renowned child prodigy—his first oratorio, L'infanzia di San Giovanni Battista, was written at age 11 [2] and performed in Milan and Paris as early as 1923; his three-act lyrical comedy after Hans Christian Andersen, Il Principe Porcaro, was composed when he was just 13 and published in 1926. He studied at the Milan conservatory there under Giacomo Orefice [1] and then undertook serious study of composition under Ildebrando Pizzetti and Alfredo Casella at the Santa Cecilia Academy in Rome, graduating in 1930. [3] Encouraged by Arturo Toscanini, Rota moved to the United States where he lived from 1930 to 1932. He won a scholarship to the Curtis Institute of Philadelphia, where he was taught conducting by Fritz Reiner and had Rosario Scalero as an instructor in composition. [3] Returning to Milan, he wrote a thesis on the Renaissance composer Gioseffo Zarlino. Rota earned a degree in literature from the University of Milan, graduating in 1937, and began a teaching career that led to the directorship of the Liceo Musicale in Bari, a title he held from 1950 until 1978. [3] Film scores [ edit] Nino Rota wrote the score for the film The Glass Mountain in 1949. Notable was the singing of Tito Gobbi, one of the world's greatest baritones. The film won a number of awards. In his entry on Rota in the 1988 edition of The Concise Baker's Biographical Dictionary of Composers and Musicians, music scholar Nicolas Slonimsky described him as "brilliant" and stated that his musical style. demonstrates a great facility and even felicity, with occasional daring excursions into dodecaphony. However his most durable compositions are related to his music for the cinema; he composed the sound tracks of a great number of films of the Italian director Federico Fellini covering the period from 1950 to 1979. [3] Furthermore, one of his compositional habits in particular came up for disapproving remarks: his penchant for pastiche of various past styles, which quite often turned into outright quotation of his own earlier music or even others' music. One of the most noticed examples of such incorporation is his use of the Larghetto from Dvorák 's Serenade for Strings in E major as a theme for a character in Fellini's La Strada. [4] During the 1940s, Rota composed scores for more than 32 films, including Renato Castellani 's Zaza  [ it] 1944. His association with Fellini began with Lo sceicco bianco (The White Sheik) 1952) followed by I vitelloni (1953) and La strada (The Road) 1954. They continued to work together for decades, and Fellini recalled: The most precious collaborator I have ever had, I say it straightaway and don't even have to hesitate, was Nino Rota — between us, immediately, a complete, total, harmony. He had a geometric imagination, a musical approach worthy of celestial spheres. He thus had no need to see images from my movies. When I asked him about the melodies he had in mind to comment one sequence or another, I clearly realized he was not concerned with images at all. His world was inner, inside himself, and reality had no way to enter it. [5] The relationship between Fellini and Rota was so strong that even at Fellini's funeral Giulietta Masina, Fellini's wife, asked trumpeter Mauro Maur to play Rota's Improvviso dell'Angelo in the Basilica di Santa Maria degli Angeli e dei Martiri in Rome. [6] Rota's score for Fellini's 8½ (1963) is often cited as one of the factors which makes the film cohesive. His score for Fellini's Juliet of the Spirits (1965) included a collaboration with Eugene Walter on the song, Go Milk the Moon" cut from the final version of the film) and they teamed again for the song " What Is a Youth. part of Rota's score for Franco Zeffirelli 's Romeo and Juliet. The American Film Institute ranked Rota's score for The Godfather #5 on their list of the greatest film scores. His score for War and Peace was also nominated for the list. In all, Rota wrote scores to more than 150 films. Orchestral, chamber and choral music [ edit] Rota wrote numerous concerti and other orchestral works as well as piano, chamber and choral music, much of which has been recorded and released on CD. After his death from heart failure [7] in 1979, Rota's music was the subject of Hal Willner 's 1981 tribute album Amarcord Nino Rota, which featured several at the time relatively unknown but now famous jazz musicians. Gus Van Sant used some of Rota's music in his 2007 film Paranoid Park and director Michael Winterbottom used several Rota selections in the 2005 film Tristram Shandy: A Cock and Bull Story. Danny Elfman frequently cites Nino Rota as a major influence (particularly on his scores for the Pee-Wee films. Director Mario Monicelli filmed a documentary Un amico magico: il maestro Nino Rota which featured interviews with Franco Zeffirelli and Riccardo Muti (a student under Rota at Bari Conservatory) and was followed by a German documentary Nino Rota - Un maestro della musica. Both explored film and concert sides of the composer. Operas [ edit] His 1955 opera Il cappello di paglia di Firenze ( The Florentine Straw Hat) is an adaptation of the play by Eugène Labiche and was presented by the Santa Fe Opera in 1977. In 2005 his opera Aladino e la lampada magica ( Aladdin and the Magical Lamp) with Cosmin Ifrim in the title role, was performed in German translation at the Vienna State Opera and released on DVD. Il cappello di paglia di Firenze and Aladino e la lampada magica are regularly staged in Europe as are many symphonic and chamber titles Written for a radio production by RAI in 1950, his short opera, I due timidi ( The Two Timid Ones) was presented by the Santa Fe Opera as part of their pre-season "One-Hour Opera" program in May/June 2008. Personal life and death [ edit] Rota had one daughter, Nina Rota, from a relationship with pianist Magda Longari. [8] He died, age 67, from a coronary thrombosis in Rome. Quotations [ edit] Federico Fellini recalls his first chance meeting with Rota: Outside Cinecittà, I noticed a funny little man waiting in the wrong place for the tram. He seemed happily oblivious of everything. I felt compelled. to wait with him. I was certain that the tram would stop in its regular place and we would have to run for it, and he was equally certain it would stop where he was standing. To my surprise, the tram did stop right in front of us. " A critic conversing with Nino Rota at the age of eleven just prior to a performance of his oratorio, The Childhood of St. John the Baptist, in 1923: Critic: Do you like playing? Rota: Whenever I can. Is it hard to write for a newspaper? Critic: It's not easy to do a good article" Rota: Have you come from Brussels specially to hear my oratorio? Critic: I certainly have, my little friend. " Rota: Thats really funny. I wont be conducting it tonight. Yesterday the double bass snubbed me" On his friendship with Igor Stravinsky: Stravinsky was fun; his mind struck sparks. Age was no barrier - ours became a true friendship, despite distance and meeting ever more rarely. " Nino Rota reflecting on the unhappiness of others: When Im creating at the piano, I tend to feel happy; but - the eternal dilemma - how can we be happy amid the unhappiness of others? I'd do everything I could to give everyone a moment of happiness. That's what's at the heart of my music. " Federico Fellini on Nino Rota: He was someone who had a rare quality belonging to the world of intuition. Just like children, simple men, sensitive people, innocent people, he would suddenly say dazzling things. As soon as he arrived, stress disappeared, everything turned into a festive atmosphere; the movie entered a joyful, serene, fantastic period, a new life. " Works [ edit] Discography [ edit] References [ edit] a b "Nino Rota Music Catalogue. ^ Nicholas Slonimsky, The Concise Baker's Biographical Dictionary of Composers and Musicians (Simon & Schuster, London, 1988, ISBN   0-671-69896-6) p. 1063 ^ a b c d Slonimsky, p. 1063 ^ AllMusic. Nino Rota - Le Molière imaginaire, ballet suite for orchestra ^ Rota & Fellini Archived 2010-11-20 at the Wayback Machine, Cadrage, April/May 2003 ^ fellini_funerali ITALIANO - Basilica di Santa Maria degli Angeli e dei Martiri alle Terme di Diocleziano di Roma. ^ Nino Rota. ^ Videtti, Giuseppe. “Amarcord Nino Rota“, La Repubblica Milano, 20 April 2014. Kennedy, Michael (2006) The Oxford Dictionary of Music, 985 pages, ISBN   0-19-861459-4 Further reading [ edit] Richard Dyer. Nino Rota: Music, Film, and Feeling. New York: Palgrave and Macmillan (on behalf of the British Film Institute) 2010. Franco Sciannameo. Nino Rota's The Godfather Trilogy: A Film Score Guide. Scarecrow Press, 2010. John Simon. The Other Rota. The New Criterion, Vol. 34, No. 10 / June 2016 External links [ edit] Wikimedia Commons has media related to Nino Rota. Wikiquote has quotations related to: Nino Rota Official website Nino Rota on IMDb Nino Rota at the Encyclopædia Britannica Schott Music profile Nino Rota at Find a Grave Awards for Nino Rota v t e Academy Award for Best Original Score 1930s Louis Silvers (1934) Max Steiner (1935) Leo F. Forbstein (1936) Charles Previn (1937) Erich Wolfgang Korngold / Alfred Newman (1938) Herbert Stothart / Richard Hageman, W. Franke Harling, John Leipold and Leo Shuken (1939) 1940s Leigh Harline, Paul J. Smith and Ned Washington / Alfred Newman (1940) Bernard Herrmann / Frank Churchill and Oliver Wallace (1941) Max Steiner / Ray Heindorf and Heinz Roemheld (1942) Alfred Newman / Ray Heindorf (1943) Max Steiner / Morris Stoloff and Carmen Dragon (1944) Miklós Rózsa / Georgie Stoll (1945) Hugo Friedhofer / Morris Stoloff (1946) Miklós Rózsa / Alfred Newman (1947) Brian Easdale / Johnny Green and Roger Edens (1948) Aaron Copland / Roger Edens and Lennie Hayton (1949) 1950s Franz Waxman / Adolph Deutsch and Roger Edens (1950) Franz Waxman / Johnny Green and Saul Chaplin (1951) Dimitri Tiomkin / Alfred Newman (1952) Bronisław Kaper / Alfred Newman (1953) Dimitri Tiomkin / Adolph Deutsch and Saul Chaplin (1954) Alfred Newman / Robert Russell Bennett, Jay Blackton and Adolph Deutsch (1955) Victor Young / Alfred Newman and Ken Darby (1956) Malcolm Arnold (1957) Dimitri Tiomkin / Andre Previn (1958) Miklós Rózsa / Andre Previn and Ken Darby (1959) 1960s Ernest Gold / Morris Stoloff and Harry Sukman (1960) Henry Mancini / Saul Chaplin, Johnny Green, Sid Ramin and Irwin Kostal (1961) Maurice Jarre / Ray Heindorf (1962) John Addison / Andre Previn (1963) Richard M. Sherman and Robert B. Sherman / Andre Previn (1964) Maurice Jarre / Irwin Kostal (1965) John Barry / Ken Thorne (1966) Elmer Bernstein / Alfred Newman and Ken Darby (1967) John Barry / Johnny Green (1968) Burt Bacharach / Lennie Hayton and Lionel Newman (1969) 1970s Francis Lai / The Beatles ( John Lennon, Paul McCartney, George Harrison and Ringo Starr) 1970) Michel Legrand / John Williams (1971) Charlie Chaplin, Raymond Rasch and Larry Russell / Ralph Burns (1972) Marvin Hamlisch / Marvin Hamlisch (1973) Nino Rota and Carmine Coppola / Nelson Riddle (1974) John Williams / Leonard Rosenman (1975) Jerry Goldsmith / Leonard Rosenman (1976) John Williams / Jonathan Tunick (1977) Giorgio Moroder / Joe Renzetti (1978) Georges Delerue / Ralph Burns (1979) 1980s Michael Gore (1980) Vangelis (1981) John Williams / Henry Mancini and Leslie Bricusse (1982) Bill Conti / Michel Legrand, Alan and Marilyn Bergman (1983) Maurice Jarre / Prince (1984) John Barry (1985) Herbie Hancock (1986) Ryuichi Sakamoto, David Byrne and Cong Su (1987) Dave Grusin (1988) Alan Menken (1989) 1990s John Barry (1990) Alan Menken (1991) Alan Menken (1992) John Williams (1993) Hans Zimmer (1994) Luis Enríquez Bacalov / Alan Menken and Stephen Schwartz (1995) Gabriel Yared / Rachel Portman (1996) James Horner / Anne Dudley (1997) Nicola Piovani / Stephen Warbeck (1998) John Corigliano (1999) 2000s Tan Dun (2000) Howard Shore (2001) Elliot Goldenthal (2002) Howard Shore (2003) Jan A. P. Kaczmarek (2004) Gustavo Santaolalla (2005) Gustavo Santaolalla (2006) Dario Marianelli (2007) A. R. Rahman (2008) Michael Giacchino (2009) 2010s Trent Reznor and Atticus Ross (2010) Ludovic Bource (2011) Mychael Danna (2012) Steven Price (2013) Alexandre Desplat (2014) Ennio Morricone (2015) Justin Hurwitz (2016) Alexandre Desplat (2017) Ludwig Göransson (2018) v t e BAFTA Award for Best Original Music John Barry (1968) Mikis Theodorakis (1969) Burt Bacharach (1970) Michel Legrand (1971) Nino Rota (1972) Alan Price (1973) Richard Rodney Bennett (1974) John Williams (1975) Bernard Herrmann (1976) John Addison (1977) John Williams (1978) Ennio Morricone (1979) John Williams (1980) Carl Davis (1981) John Williams (1982) Ryuichi Sakamoto (1983) Ennio Morricone (1984) Maurice Jarre (1985) Ennio Morricone (1986) Ennio Morricone (1987) John Williams (1988) Maurice Jarre (1989) Andrea Morricone and Ennio Morricone (1990) Jean-Claude Petit (1991) David Hirschfelder (1992) Don Was (1994) Luis Enríquez Bacalov (1995) Gabriel Yared (1996) Nellee Hooper, Craig Armstrong and Marius de Vries (1997) David Hirschfelder (1998) Thomas Newman (1999) Craig Armstrong and Marius de Vries (2001) Philip Glass (2002) T Bone Burnett and Gabriel Yared (2003) Gustavo Santaolalla (2004) John Williams (2005) Christopher Gunning (2007) Alexandre Desplat (2010) Thomas Newman (2012) Bradley Cooper, Lady Gaga and Lukas Nelson (2018) Hildur Guðnadóttir (2019) v t e David di Donatello Award for Best Score Piero Piccioni (1975) Franco Mannino (1976) Nino Rota (1977) Armando Trovajoli (1978) Fiorenzo Carpi (1981) Lucio Dalla and Fabio Liberatori (1982) Angelo Branduardi (1983) Armando Trovajoli and Vladimir Cosma (1984) Carlo Savina (1985) Riz Ortolani / Nicola Piovani (1986) Ennio Morricone (1988) Ennio Morricone (1989) Claudio Mattone (1990) Ennio Morricone (1991) Franco Piersanti (1992) Ennio Morricone (1993) Nicola Piovani (1994) Franco Piersanti (1995) Manuel De Sica (1996) Paolo Conte (1997) Nino D'Angelo (1998) Ennio Morricone (1999) Ennio Morricone (2000) Nicola Piovani (2001) Fabio Vacchi (2002) Andrea Guerra (2003) Banda Osiris (2004) Riz Ortolani (2005) Franco Piersanti (2006) Ennio Morricone (2007) Paolo Buonvino (2008) Teho Teardo (2009) Ennio Morricone (2010) Rita Marcotulli and Rocco Papaleo (2011) David Byrne (2012) Ennio Morricone (2013) Pivio and Aldo De Scalzi (2014) Giuliano Taviani (2015) David Lang (2016) Enzo Avitabile (2017) Pivio and Aldo De Scalzi (2018) v t e Golden Globe Award for Best Original Score 1940s Life with Father – Max Steiner (1947) The Red Shoes – Brian Easdale (1948) The Inspector General – Johnny Green (1949) Sunset Boulevard – Franz Waxman (1950) September Affair – Victor Young (1951) High Noon – Dimitri Tiomkin (1952) On the Beach – Ernest Gold (1959) The Alamo – Dimitri Tiomkin (1960) The Guns of Navarone – Dimitri Tiomkin (1961) To Kill a Mockingbird – Elmer Bernstein (1962) 1963) The Fall of the Roman Empire – Dimitri Tiomkin (1964) Doctor Zhivago – Maurice Jarre (1965) Hawaii – Elmer Bernstein (1966) Camelot – Frederick Loewe (1967) The Shoes of the Fisherman – Alex North (1968) Butch Cassidy and the Sundance Kid – Burt Bacharach (1969) Love Story – Francis Lai (1970) Shaft – Isaac Hayes (1971) The Godfather – Nino Rota (1972) Jonathan Livingston Seagull – Neil Diamond (1973) The Little Prince – Alan Jay Lerner and Frederick Loewe (1974) Jaws – John Williams (1975) A Star is Born – Kenneth Ascher and Paul Williams (1976) Star Wars – John Williams (1977) Midnight Express – Giorgio Moroder (1978) Apocalypse Now – Carmine Coppola and Francis Ford Coppola (1979) The Stunt Man – Dominic Frontiere (1980) 1981) E. T. the Extra-Terrestrial – John Williams (1982) Flashdance – Giorgio Moroder (1983) A Passage to India – Maurice Jarre (1984) Out of Africa – John Barry (1985) The Mission – Ennio Morricone (1986) The Last Emperor – David Byrne, Ryuichi Sakamoto and Cong Su (1987) Gorillas in the Mist – Maurice Jarre (1988) The Little Mermaid – Alan Menken (1989) The Sheltering Sky – Richard Horowitz and Ryuichi Sakamoto (1990) Beauty and the Beast – Alan Menken (1991) Aladdin – Alan Menken (1992) Heaven & Earth – Kitarō (1993) The Lion King – Hans Zimmer (1994) A Walk in the Clouds – Maurice Jarre (1995) The English Patient – Gabriel Yared (1996) Titanic – James Horner (1997) The Truman Show – Burkhard Dallwitz and Philip Glass (1998) 1900 – Ennio Morricone (1999) Gladiator – Lisa Gerrard, Hans Zimmer (2000) Moulin Rouge! – Craig Armstrong (2001) Frida – Elliot Goldenthal (2002) The Lord of the Rings: The Return of the King – Howard Shore (2003) The Aviator – Howard Shore (2004) Memoirs of a Geisha – John Williams (2005) The Painted Veil – Alexandre Desplat (2006) Atonement – Dario Marianelli (2007) Slumdog Millionaire – A. Rahman (2008) Up – Michael Giacchino (2009) The Social Network – Trent Reznor and Atticus Ross (2010) The Artist – Ludovic Bource (2011) Life of Pi – Mychael Danna (2012) All Is Lost – Alex Ebert (2013) The Theory of Everything – Jóhann Jóhannsson (2014) The Hateful Eight – Ennio Morricone (2015) La La Land – Justin Hurwitz (2016) The Shape of Water – Alexandre Desplat (2017) First Man - Justin Hurwitz (2018) Joker - Hildur Guðnadóttir (2019) v t e Grammy Award for Best Score Soundtrack for Visual Media 1959−1980 Duke Ellington – Anatomy of a Murder (1959) No Award (1960) Ernest Gold – Exodus (1961) Henry Mancini – Breakfast at Tiffany's (1962) No Award (1963) John Addison – Tom Jones (1964) Richard M. Sherman & Robert B. Sherman – Mary Poppins (1965) Johnny Mandel – The Sandpiper (1966) Maurice Jarre – Doctor Zhivago (1967) Lalo Schifrin – Music from Mission: Impossible (1968) Dave Grusin & Paul Simon – The Graduate (1969) Burt Bacharach – Butch Cassidy and the Sundance Kid (1970) The Beatles ( John Lennon, Paul McCartney, George Harrison & Ringo Starr) – Let It Be (1971) Isaac Hayes – Shaft (1972) Nino Rota – The Godfather (1973) Neil Diamond – Jonathan Livingston Seagull (1974) Alan and Marilyn Bergman & Marvin Hamlisch – The Way We Were (1975) John Williams – Jaws (1976) Norman Whitfield - Car Wash (1977) John Williams – Star Wars (1978) John Williams – Close Encounters of the Third Kind (1979) John Williams – Superman (1980) 1981−2000 John Williams – The Empire Strikes Back (1981) John Williams – Raiders of the Lost Ark (1982) John Williams – E. the Extra-Terrestrial (1983) Giorgio Moroder, Laura Branigan, Keith Forsey, Irene Cara, Shandi Sinnamon, Ronald Magness, Doug Cotler, Richard Gilbert, Michael Boddicker, Jerry Hey, Phil Ramone, Michael Sembello, Kim Carnes, Duane Hitchings, Craig Krampf & Dennis Matkosky – Flashdance (1984) Prince and the Revolution – Purple Rain (1985) Marc Benno, Harold Faltermeyer, Keith Forsey, Micki Free, John Gilutin Hawk, Howard Hewett, Bunny Hull, Howie Rice, Sharon Robinson, Danny Sembello, Sue Sheridan, Richard Theisen & Allee Willis – Beverly Hills Cop (1986) John Barry – Out of Africa (1987) Ennio Morricone – The Untouchables (1988) David Byrne, Cong Su & Ryuichi Sakamoto – The Last Emperor (1989) Dave Grusin – The Fabulous Baker Boys (1990) James Horner – Glory (1991) John Barry – Dances with Wolves (1992) Alan Menken – Beauty and the Beast (1993) Alan Menken – Aladdin (1994) John Williams – Schindler's List (1995) Hans Zimmer – Crimson Tide (1996) David Arnold – Independence Day (1997) Gabriel Yared – The English Patient (1998) John Williams – Saving Private Ryan (1999) Randy Newman – A Bug's Life (2000) 2001−present Thomas Newman – American Beauty (2001) Tan Dun – Crouching Tiger, Hidden Dragon (2002) Howard Shore & John Kurlander (engineer/mixer) – The Lord of the Rings: The Fellowship of the Ring (2003) Howard Shore, John Kurlander (engineer/mixer. Peter Cobbin (engineer/mixer) – The Lord of the Rings: The Two Towers (2004) Howard Shore, John Kurlander (engineer/mixer. Peter Cobbin (engineer/mixer) – The Lord of the Rings: The Return of the King (2005) Craig Armstrong – Ray (2006) John Williams – Memoirs of a Geisha (2007) Michael Giacchino – Ratatouille (2008) Hans Zimmer & James Newton Howard – The Dark Knight (2009) Michael Giacchino – Up (2010) Randy Newman – Toy Story 3 (2011) Alexandre Desplat – The King's Speech (2012) Trent Reznor & Atticus Ross – The Girl with the Dragon Tattoo (2013) Thomas Newman – Skyfall (2014) Alexandre Desplat – The Grand Budapest Hotel (2015) Antonio Sánchez – Birdman (2016) John Williams – Star Wars: The Force Awakens (2017) Justin Hurwitz – La La Land (2018) Ludwig Göransson – Black Panther (2019) Hildur Guðnadóttir – Chernobyl (2020) v t e Nastro d'Argento Award for Best Score 1947–1960 Renzo Rossellini (1947) Renzo Rossellini (1948) Alessandro Cicognini (1949) Roman Vlad (1950) Giovanni Fusco (1951) Mario Nascimbene (1952) Valentino Bucchi (1953) Mario Zafred (1954) Angelo Francesco Lavagnino (1955) Angelo Francesco Lavagnino (1956) Nino Rota (1957) Nino Rota (1958) Carlo Rustichelli (1959) Mario Nascimbene (1960) 1961–1980 Giovanni Fusco (1961) Giorgio Gaslini (1962) Piero Piccioni (1963) Nino Rota (1964) Ennio Morricone (1965) Armando Trovajoli (1966) Carlo Rustichelli (1967) Mario Nascimbene (1968) Nino Rota (1969) Ennio Morricone (1970) Stelvio Cipriani (1971) Ennio Morricone (1972) Guido De Angelis / Maurizio De Angelis (1973) Tony Renis (1974) Giancarlo Chiaramello (1975) Adriano Celentano (1976) Fred Bongusto (1977) Nino Rota (1979) Fred Bongusto (1980) 1981–2000 Riz Ortolani (1981) Lucio Dalla / Fabio Liberatori (1982) Riz Ortolani (1984) Ennio Morricone (1985) Tony Esposito (1986) Armando Trovajoli / Riz Ortolani / Giovanni Nuti (1987) Eugenio Bennato / Carlo D'Angiò (1989) Nicola Piovani (1991) Pino Daniele (1992) Manuel De Sica (1993) Federico De Robertis (1994) Lucio Dalla (1996) Eugenio Bennato (1999) 2001–present Ennio Morricone (2001) Edoardo Bennato (2002) Nicola Piovani (2003) Paolo Fresu (2004) Banda Osiris (2005) Louis Siciliano / Roy Paci / Fabio Barovero / Simone Fabroni (2006) Paolo Buonvino (2009) Rita Marcotulli (2010) Negramaro (2011) Franco Piersanti (2012) Nicola Piovani (2015) Carlo Virzì (2016) Enzo Avitabile (2017.

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G. music Genre: Jazz Total Time: 00:55:07 Total Size: 359, 64 MB VA - The Best Of All Woman [2CD Set] 1995) Title: The Best Of All Woman Year Of Release: 1995 Label: Quality Television [BOWOCD001] Genre: Pop, Vocal, Soul, Jazz, Ballad Total Time: 2:29:53 Total Size: 343 mb / 859 mb Kurt Weill (Nina Hagen & Max Raabe. Die Dreigroschenoper / The Threepenny Opera (2000) Artist: Kurt Weill (Nina Hagen & Max Raabe) Title: Die Dreigroschenoper / The Threepenny Opera Year Of Release: 2000 Label: BMG Classics Quality: FLAC. log) Total Time: 01:22:50 Total Size: 387 MB Ozma – French Explosive Jazz - Hyperlapse (2020) Hi-Res] Artist: Ozma – French Explosive Jazz Title: Hyperlapse Label: Cristal Publishing Quality: FLAC (tracks) 48kHz/24bit] Total Time: 55:19 Total Size: 641 MB Steve Rothery - The Ghosts of Pripyat (2014) Artist: Steve Rothery Title: The Ghosts of Pripyat Year Of Release: 2014 Label: InsideOut[0507058] Genre: Rock, Progressive Rock Quality: FLAC (image. log, scans. MP3/320 kbps Total Time: 55:21 Total Size: 324 MB( 3. 131 MB( 3% Various Artists - Flowers of clarinet Vol. 2 (Contemporary italian composers & the clarinet) 2020) Title: Flowers of clarinet Vol. 2 (Contemporary italian composers & the clarinet) Label: Da Vinci Classics Total Time: 77:49 min Total Size: 254 MB Adam Karch - Everything Can Change (2020) Artist: Adam Karch Title: Everything Can Change Label: Disques Bros Records Genre: Blues Quality: Mp3 320 kbps / FLAC (tracks) Total Time: 40:01 min Total Size: 96 / 247 MB Asher Levitas - Final Quiet (2020) Artist: Asher Levitas Title: Final Quiet Label: Beyond The Valley – BTV 0001 Genre: Ambient, Experimental Quality: lossless (tracks) Total Time: 39:10 Total Size: 198 mb Fred Neil - Other Side Of This Life (1971/2020) Artist: Fred Neil Title: Other Side Of This Life Year Of Release: 1971/2020 Label: Capitol Records Genre: Folk Rock, Singer-Songwriter Quality: 320 kbps, FLAC (tracks) Total Time: 00:34:55 Total Size: 84 mb, 178 mb.

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Quite an interesting comedy with ideas about fantasy versus reality, a wonderful Nino Rota score, and great work by Bovo, an actress who can capture some great expressions on her face: realistically big-eyed, naïve and innocent, as is required for her character. The film does however suffer from unevenness, trying to balance two styles of comedy - light-hearted semi fantasy and silly slapstick. By themselves either style works fine, but when joined together, it becomes a little messy. The film is not really helped by excessively silly supporting characters, and Trieste feels very over-the-top at times. Still, the aforementioned virtues, and interesting camera-work with an extensive range of different angles, are enough to keep this film afloat. Definitely recommended, even if not perfect.

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We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services. To learn more or modify/prevent the use of cookies, see our Cookie Policy and Privacy Policy. Max Ferguson, 1 Yung-Tsun Tina Lee, 2 Anantha Narayanan, 3 and Kincho H. Law 4 A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection Reference M. Ferguson, Y. -T. T. Lee, A. Narayanan, and K. H. Law, “ A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection, ” Smart and Sustainable Manufacturing Systems 3, no. 1 (2019) 79 – 97. SSMS20190032 ABSTRACT Convolutional neural networks are becoming a popular tool for image processing in the en- gineering and manufacturing sectors. However, managing the storage and distribution of trained models is still a difficult task that is partially due to the lack of standardized methods for deep neural network representation. Additionally, the interoperability between different machine learning frameworks remains poor. This article seeks to address this issue by propos- ing a standardized format for convolutional neural networks based on the Predictive Model Markup Language (PMML. A new standardized schema is proposed to represent a range of convolutional neural networks, including classification, regression, and semantic segmenta- tion systems. To demonstrate the practical application of this standard, a semantic segmen- tation model, which is trained to detect casting defects in X-ray images, is represented in the proposed PMML format. A high-performance scoring engine is developed to evaluate images and videos against the PMML model. The utility of the proposed format and the scoring engine is evaluated by benchmarking the performance of the defect detection models on a range of different computational platforms. Keywords smart manufacturing, Predictive Model Markup Language, machine learning models, defect detection, automated surface insp ection, convolutional neural netw orks, standard, image processing Manuscript received August 31, 2019; accepted for publication November 12, 2019; published online December 11, 2019. 1 Department of Civil and Environmental Engineering, Stanford University, Y2E2 Building, 473 Via Ortega, Stanford, CA 94305, USA (Corresponding author) e-mail: 4335-5285 2 Systems Integration Division, National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg, MD 20899, USA 3 Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90007, USA 4 Department of Civil and Environmental Engineering, Stanford University, Y2E2 Building, 473 Via Ortega, Stanford, CA 94305, USA Smart and Sustainable Manufacturing Systems Copyright 2019 by ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959 79 doi:10. 1520/SSMS20190032 / Vol. 3 / No. 1 / 2019 / available online at Introduction Convolution al neural networ ks (CNNs) are find ing numerous re al-world applic ations in the engi neering and manufacturi ng domains. 1 Recent research has demonstrated that CNNs can obtain state-of-the-art perfor- mance on tasks like casting defect detection, 2 anomaly detec tion in fibrous m aterials, 3 and classific ation of waste recycl ing. 4 In the industry, CNNs are being used to detect defects, 5 identify weeds, 6 and track packages for supply chain management. 7 However, shar ing and deploying trained model s still remains a di fficult and error-prone task. In current practice, models are normally saved using a serialization format specific to the model training framewor k. 8 Although this p ractice provi des a reliable me thod for savin g trained models, it greatly hinde rs interopera bility betwee n training frame works and data anal ysis tools. In th is article, we se ek to address this issue by developing a standardized representation for deep neural networks based on the Predictive Mo del Markup Lang uage (PMML. It is b elieved that th e proposed forma t can be useful to the m anu- facturing industry by: • allowing CNN models to be transferred from research laboratories to manufacturing facilities in a con- trolled and standardized fashion, • enabling legacy PMML software to leverage recent advances in computer vision technology, through CNN models, and • providing a reliable way for CNN models to be documented and versioned, especially in the context of large-scale manufacturing operations. A standardized representation of a predictive model defines precisely how model inputs are mapped to model outputs and often specifies the exact mathematical operations that must be performed to map an input to an output. The adoption of standardized model representations makes it easier for a machine learning model to be created, inspected, manipulated, and deployed using different software products. This allows software vendors to develop highly specialized software products for completing specific tasks on a machine learning model. For example, Tensorflow 8 can be used to train the model, Netron 9 can be used to test the model, and Google Cloud Platform 10 can be used to evaluate the model in a production setting. Many early concerns surrounding CNN-based approaches, such as training stability, large data set require- ments, and slow training speed, have been overcome through algorithmic 11 and hardware advances. 12 In par- ticular, the discovery of transfer learning has greatly reduced training data set requirements, allowing powerful models to be trained with relatively small data sets. 2, 13 However, both transfer learning and hardware acceleration bring additional complexity to the model training and deployment process. Transfer learning requires the model to be trained on at least two data sets, which means that an intermediate representation for the model is almost essential. Similarly, with the widespread adoption of hardware acceleration, it is becoming common to train and evaluate the models on different hardware devices. Again, a reliable representation of the machine learning model is essential for transferring a machine learning model from one computational platform to another. The remainder of the article is organized as follows: the “ Background ” section provides an introduction to many concepts that are expanded on throughout the article. The “ Related Work ” section describes related work in the field of standardized neural network models. The “ PMML for CNN ” section describes the proposed exten- sions to the PMML specification. The “ Manufacturing Defect Segmentation ” section describes how the proposed PMML format is used to represent an X-ray defect detection model, and the article is concluded with a brief discussion and conclusion. Background This article proposes a new standardized format for representing deep neural networks in PMML. Before the PMML representation is presented, this section introduces many of the topics that are fundamental to the dis- cussion and motivation of such a standardization. Smart and Sustainable Manufacturing Systems 80 FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS PMML PMML is an extensible language that enables the definition and sharing of predictive models between applica- tions. 14 PMML provides a clean and standardized interface between the software tools that produce predictive models, such as statistical or data mining systems, and the consumers of such models, such as applications that depend upon embedded analytics. 15 Once a machine learning model has been trained in an environment like Python, MATLAB, or R, it can be saved as a PMML file. The PMML file can then be moved to a production environment, such as an embedded system or a cloud server. A scoring engine in the production environment can parse the PMML file and use it to generate predictions for new unseen data points. PMML is based on the Extensible Markup Language (XML. XML is a markup language that defines a set of rules for encoding documents in a format that is readable by both humans and machines. Simple XML elements contain an opening tag, a closing tag, and some content. The opening tag begins with a left angle bracket. followed by an element name that contains letters and numbers, and finishes with a right angle bracket. Closing tags follow a similar format, but have a forward slash. before the right angle bracket. In PMML, each element either describes a property of the model or provides metadata about the model. An XML schema de- scribes the elements and attributes that are permissible in an XML file. NEURAL NETWORKS Feedforward neural networks are the quintessential deep learning models. Neural networks “ learn ” to perform tasks by considering examples, generally without being programmed with any task-specific rules. For example, a neural network could be trained to identify images that contain manufacturing defects by exposing it to example images that have been manually labeled as “ defective ” or “ not defective. ” Such neural networks are generally trained with little prior knowledge about manufacturing parts or defects. Instead, neural networks automatically generate identifying characteristics from the data set they are trained on. While neural networks were loosely inspired by neuroscience, it is best to think of feedforward networks as function approximation machines that are designed to achieve statistical generalization. The goal of a feed forward netwo rk is to approxi mate some funct ion f. For example, for a classi fi er, y = f  ð x Þ that maps an inpu t x to a category y, a feedforward ne twork de fi nes a ma pping y = f ð x; θ Þ and learns the value of the parameters θ that result in the b est function ap proximation. T hese models are c alled feedforw ard because information fl ows through the function being evaluated from x, through the inter mediate compu tations used to de fi ne f, a n d fi nally to the ou tput y. There are n o feedback con nections in whic h outputs of th e model are fed back into itself. Feedforward neural networks are called networks because they are typically represented by a compilatio n of many di ff eren t functions. Th e neural networ k model is associ ated with a direc ted acyclic gra ph describing h ow the function s are composed to gether. 16 For example, we might have three functions f 1, f 2, a n d f 3 connected in a chain to form f ð x Þ = f 3 ð f 2 ð f 1 ð x ÞÞÞ. These chain structures are the most commonly used struc- tures of neural networks. In this case, f 1 is called the fi rst layer of the n etwork, f 2 is called the second layer, and so on. The overal l length of the c hain gives the de pth. The fi nal layer of a feedforward n etwork is calle d the output layer. During neural network training, we drive f ð x Þ to match f  ð x Þ: The training data provide us with noisy, appro ximate example s of f  ð x Þ evaluated a t di ff erent training points. Each example x is accompanied by a label y ≈ f  ð x Þ. The training examples specify directly what the output layer must do at each point x and produce a value that is close to y. The output of the oth er layers is not di rectly specif ied by the learni ng algo- rithm or train ing data. Inste ad, the learni ng algorithm mu st decide how to us e these layers to best implement a n approximation of f  ð x Þ: CNNs CNNs are a specialized kind of neural network for processing data that have a known grid-like topology. 16 Although this work focuses on the application of CNNs to image data, CNNs can operate on a variety of other data types, including time series and point cloud data. In a CNN, pixels from each image are converted to a featurized representation through a series of mathematical operations. Input images are represented as an order Smart and Sustainable Manufacturing Systems FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS 81 3 tensor I ∈ ℝ H × W × D with height, H, width, W, and depth, D, color channels. 17 This representation is modified by a number of hidden layers until the desired output is achieved. There are several layer types that are common to most modern CNNs, including convolution, pooling, and dense layer types. A convolution layer is a function f i ð x i; θ i Þ that convolves one or more parameterized kernels with the input tensor, x i. Suppose the input x i is an order 3 tensor with size H i × W i × D i. A convolution kernel is also an order 3 tensor with size H k × W k × D i, where H k × W k is the spatial size of the kernel. The kernel is convolved with the input by taking the dot product of the kernel with the input at each spatial location in the input. By convolving certain types of kernels with the input image, it is possible to obtain meaningful outputs, such as the image gradients. In most modern CNN archi- tectures, the first few convolutional layers extract features like edges and textures in an image. Convolutional layers deeper in the network can extract features that span a greater spatial area of the image, such as object shapes. Pooling layers are used to reduce the spatial size of a feature map. Pooling involves applying a pooling operation, much like a filter, to the feature map. The size of the pooling operation is smaller than the size of the feature map; it is common to apply a pooling operation with a size of 2 × 2 pixels and a stride of 2 pixels. Dense layers apply an affine transformation to the input vector, and in many cases, also apply an elementwise nonlinear function. They are generally used to learn a mapping between a flattened convolutional layer feature map and the target output of the CNN. DATAFLOW GRAPHS Many machine learning software frameworks represent neural networks as dataflow graphs. In a dataflow graph, the nodes represent units of computation, and the edges represent the data consumed or produced by a com- putation. A dataflow graph for a small neural network is shown in figure 1. Each layer in the neural network is represented as a node in the dataflow graph. The graph edges specify the inputs to each layer. Representing a CNN in this form allows the underlying software framework to optimize the training and execution of the neural net- work through increased parallelism and compiler-generated optimizations. One way of creating a persistent rep- resentation of a neural network is to save the dataflow graph in a standardized machine-readable form. When using this strategy, it is important to save the type of operation performed by each node as well as the connectivity FIG. 1 Dataflow graph for a small CNN. Neural network layers are represented as nodes in the graph. Nodes shown in green (lighter) do not perform any mathematical operations on the input tensor. Nodes shown in red have learnable parameters, whereas nodes shown in blue (darker) do not have any learnable parameters. Smart and Sustainable Manufacturing Systems 82 FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS between nodes. The model weights must also be saved because they define the operation performed by all of the parameterized layers. SCORING ENGINES For deployment, predictive models are normally evaluated by a scori ng engine. A scoring engine is a piece of software specifically design ed to load a model in a specific format and use it to evaluate new observations or data points. Scoring engines are responsible for executi ng the mathematical operati ons that transform model inputs into model outputs. To promote interoperability, scoring engines are norm a l l yw r i t t e ni nl a n g u a g e s s u c ha sP y t h o n, C. o rJ a v a, 18 which are supported by most embedde d systems and computing environ- ments. Therefore, it is feasible to run the same scoring engine on a desktop computer, a cloud server, or an embedded device without modifying the sc ori ng engine code. With the adoption of more complex models, such as deep neural networks, it is becoming common practice to evaluate models on hardware- accelerated scoring engines. Hardw are acceleration generally increa ses the throughput of the scoring engine, decreases the model prediction time, and decrea ses power consumption for large-scale computational tasks. Related Works In current deep learning practice, there are many different formats for storing machine learning models. The existing neural network representations can be classified as framework specific or framework agnostic. Framework-specific representations, such as the PyTorch model format, 19 are tightly bound to a particular ma- chine learning framework or programming language. However, these framework-specific formats often lack com- patibility with machine learning frameworks other than the framework for which they were designed. Framework-agnostic formats like PMML or Open Neural Network Exchange (ONNX) 20 encourage software interoperability but tend to be more difficult to design and implement. This section reviews existing methods and standards for representing neural network models; the purpose is to highlight the prevalent framework-ag- nostic and framework-specific representations. PYTORCH PyTorch is an open source machine learning library for Python that is commonly used for applications like image processing and natural language processing. 19 It is primarily developed by Facebook s artificial intelligence re- search group. PyTorch models are exported to a binary format using the Python Pickle protocol. While this approach provides a seamless method of persisting PyTorch models, it greatly hinders interoperability. In par- ticular, relying on the Pickle object serialization format makes it difficult to transfer PyTorch models to other computing environments that do not support the Python runtime. PyTorch allows a neural network graph to be represented using the JavaScript Object Notation (JSON. The JSON format is supported by most common pro- gramming languages, making it an attractive option for saving a neural network architecture. However, as PyTorch does not export the model weights to JSON, there is currently no way to fully recover a trained model from the JSON representation. TENSORFLOW TensorFlow is an open source software library for high-performance numerical computation. Its flexible archi- tecture allows easy deployment of computation across a variety of platforms. 8 TensorFlow provides options for saving model weights alone or saving the dataflow graph and model weights. The dataflow graph can be exported to a binary file using the Protocol Buffer format. A separate Application Programming Interface also provides the option to save the model weights in the Hierarchical Data format (HDF5) binary format. Alternatively, the entire model can be exported using a custom binary format that is based on HDF5 and Protocol Buffers. Google has developed tools to allow these models to be evaluated in other programming languages, such as JavaScript or C. Smart and Sustainable Manufacturing Systems FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS 83 However, without a clear open source specification for the model representation, there is still very limited inter- operability between TensorFlow and other predictive modeling tools. ONNX The ONNX format is a community project created by Facebook and Microsoft. 20 ONNX provides a definition of an extensible computation graph model, as well as definitions of built-in operators and standard data types. Each computational dataflow graph is structured as a list of nodes that form an acyclic graph. Nodes have one or more inputs and one or more outputs. Each node is a call to an operator. The graph also has metadata to help document its purpose, author, etc. Operators are implemented external to the graph, but the set of built-in operators are portable across frameworks. Every framework supporting ONNX will provide implementations of these operators on the applicable data types. ONNX currently supports a wide range of models, including feedforward neural networks and CNNs. Neural network architectures for image classification, image segmentation, object detection, and face recognition, among several others, are supported. There is experimental support for recurrent neural networks (RNNs. Fundamentally, ONNX supports the representation of neural networks at a lower level than the proposed PMML representation to be discussed in this article. In some cases, this makes the ONNX standard more suitable than PMML for highly complex neural network architectures that rely on abnormal mathematical transformations or nonstandardized neural network layers. On the other hand, for the ONNX standard, this added complexity also makes it more difficult to implement fully compliant scoring engines or model converters. Therefore, we believe that it is possible for PMML and ONNX to coexist, with PMML being used to represent widely used model architectures like residual networks 21 and ONNX being used to represent more complex re- search-grade neural network models. PMML PMML is a high-level XML-based language designed to represent data mining and predictive models 14 such as linear regression models or random forests. 14 PMML does not control the way that the model is trained; rather, it is purely a standardized way to represent the trained model. PMML is designed to be readable by humans and uses a predefined set of model types and parameters to describe each model. This contrasts with the approach em- ployed in formats like Portable Format for Analytics 22 and ONNX, 20 which represent models as a complex graph of mathematical operations. PMML 3. 0 introduced a standard format for feedforward neural network models. 22 However, PMML documents conforming to this standard explicitly define every neural network connection using XML. Representing deep feedforward neural networks in this manner is impractical as deep neural networks often have between O ð 10 6 Þ to O ð 10 9 Þ connections. 21 Instead, the work described herein proposes a format that rep- resents each layer of the neural network using XML rather than representing every dense connection with XML. The benefit of this approach is that a deep neural network can be represented in only a few thousand lines of XML, whereas the standard remains flexible enough to represent most commonly used architectures. A related work described how PMML can be used to represent CNN classification models. 23 This article expands on that work by adding support for many other neural network architectures, including those used for semantic segmentation, object localization, and object detection. PMML for CNNs PMML supports a large number of model types, including random forest, 14 Gaussian process regression, 24 and linear and feedforward neural networks. 22 The main contribution of this section is a specification for a new PMML element, namely the DeepNetwork element. The remainder of this section explains how the proposed DeepNetwork element can be used to describe a CNN model. Figure 2 shows the general structure of a DeepNetwork PMML document, which includes four basic elements, namely, header, data dictionary, data trans- formation, and the deep network model. 14 The XML schema for the DeepNetwork element precisely describes the DeepNetwork element and related XML elements. The XML schema has been made publicly available on Smart and Sustainable Manufacturing Systems 84 FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS GitHub. 25 The following briefly describes the PMML structure and the layers that are intended in the proposed PMML scheme. PMML STRUCTURE The Header element provides a general description of the PMML document, including name, version, timestamp, copyright, and other relevant information for the model development environment. The DataDictionary element contains the data fields and their types as well as the admissible values for the input data. Data transformation is performed using the optional TransformationDictionary or LocalTransformations element. These elements de- scribe the mapping of the data, if necessary, into a form usable by the mining or predictive model. The last element in the general structure contains the definition and description of the predictive model. The element is chosen among a list of models defined in the PMML standard. We propose the DeepNetwork model element as a new element for representing deep neural network models in PMML. DEEPNETWORK ELEMENT A CNN model is represented by a DeepNetwork element that contains all the necessary information to fully characterize the model. As shown in figure 2, t h e DeepNetwork element can have three types of child elements: the NetworkInputs element defines inputs to the neural network, the NetworkLayer elements define the hidden layers in the neural network, and the NetworkOutputs element defines the outputs of the neural network. A DeepNetwork must have at least one NetworkInput and at least one NetworkOuput. T h e DeepNetwork element must contain one or more NetworkLayer elements that describe individual nodes in the dataflow graph. NEURAL NETWORK LAYERS In the proposed PMML standard extension, a deep neural network is represented as a directed acyclic graph. Each node in the graph represents a neural network layer. Graph edges describe the connections between neural net- work layers. As shown in figure 2, the NetworkLayer element is used to define the node in the proposed DeepNetwork PMML extension. Similarly, the NetworkInputs element is used to describe the input to the neural FIG. 2 The structure and contents of a DeepNetwork PMML file. ON PMML FORMAT FOR REPRESENTING CNNS 85 network. The layerName attribute of each NetworkLayer and NetworkInputs elements uniquely identifies each neural network layer. As shown in figure 3, it is possible to connect layers by specifying the inputs to each layer. Specifically, a NetworkLayer can have a child InboundNodes element that defines inputs to the layer. If the InboundNodes child is not present, then it is assumed that the layer does not have any inputs. Most modern neural network architectures are composed from a set of standardized layer types in which each performs an operation on the feature representation. In this section, we introduce PMML definitions for many of these layer types. Convolution layers convolve a parameterized filter with the feature representation. Pooling layers 16 reduce the spatial dimension of the feature representation by apply a sliding maximum or average operator across the representation. Batch normalization (BN) 11 layers aim to standardize the mean and variance of input tensors to avoid internal covariate shift. Nonlinearity layers, such as rectified linear units (ReLU) sig- moid, or tanh, introduce nonlinearity to the neural network, allowing the neural network to represent a much larger set of functions. 16 Many of these layers have parameters θ i that are learned during the training process. Convolution, BN, and fully connected layers generally have learnable parameters, while pooling and nonlinearity layers typically do not have any learnable parameters. The learnable parameters for a neural network are generally referred to collectively as model weights. Figure 4 shows a summary of the layers currently defined in the PMML format. Convolution Layer The convoluti on layer convolv es a convolution al kernel with the in put tensor. 16 As shown in figure 4, t h e convolution layer is represented using a NetworkLayer element with layerTyp e set to Conv2D. A NetworkLayer with the Conv2D l ayer type must co ntain a Convolut ionalKernel child element, which describes the propertie s of the convol utional kernel. The cardinal ity of the convo lutional tens or must be equal t o that of the input tens or. The size of the c onvolutional k ernel is governe d by the paramete r KernelSize child element, and the stride is governe d by the paramet er KernelStrides. An activation funct ion can be optio nally applied to the output of this layer. Dense Layer In the proposed PMML format, a dense layer is represented using a NetworkLayer element with layerType set to Dense. An activation function can be optionally applied to the output of this layer. This layer is parameterized by weights W, and bias b: f dense ð x Þ = σ ð Wx + b Þ (1) where σ is the specified activation function. The height of the output vector is specified using the channels attribute. FIG. 3 Two connected nodes in a neural network graph, represented using the DeepNetwork PMML format. Smart and Sustainable Manufacturing Systems 86 FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS Merge Layer A merge layer takes two or more tensors of equal dimensions and combines them using an elementwise operator. In the proposed PMML format, a merge layer is represented using a NetworkLayer element with the layerType FIG. 4 Ten different neural network layers represented in the proposed DeepNetwork format. Global Max Pooling is not included as it is very similar to the Max Pooling layer. Similarly, Transposed Convolution is similar to the Convolution Layer and is not shown here. ON PMML FORMAT FOR REPRESENTING CNNS 87 attribute set to Merge. The operator attribute is used to specify the operator used to combine tensor values. Allowable operator types are addition, subtraction, multiplication, and division. Concatenation Layer The concatenation layer takes two tensors and concatenates them along a given dimension. In the proposed PMML format, a concatenation layer is represented using a NetworkLayer element with the layerType attribute set to Concatenate. The cardinality of the two tensors must be equal. The size of all dimensions other than the concatenation dimension must be equal. Pooling Layer Pooling layers apply a pooling operation over a single tensor. In the proposed PMML format, a maximum pooling layer is represented using a NetworkLayer element with the layerType attribute set to MaxPooling2D. An average pooling layer is represented using a NetworkLayer element with the layerType attribute set to AveragePooling2D. The width of the pooling kernel is governed by the PoolSize child element, and the stride is governed by the parameter PoolStrides child element. Global Pooling Layer Global pooling layers apply a pooling operation across all spatial dimensions of the input tensor. In the proposed PMML format, a global max pooling layer is represented using a NetworkLayer element with the layerType attrib- ute set to GlobalMaxPooling2D. A global average pooling layer is represented using a NetworkLayer element with the layerType attribute set to GlobalAveragePooling2D. Both of these global pooling layers return a tensor that has size ð batch size, channel s Þ. Depthwise Convolution Layer The depthwise convolution layer convolves a convolutional filter with the input, keeping each channel separate. In the regular convolution layer, convolution is performed over multiple input channels. The depth of the filter is equal to the number of input channels, allowing values across multiple channels to be combined to form the output. Depthwise convolutions keep each channel separate, hence the name depthwise. In the proposed PMML format, a depthwise convolution layer is represented using a NetworkLayer element with the layerType attribute set to DepthwiseConv2D. BN Layer The BN layer aims to generate an output tensor with a constant mean and variance. BN applies a linear trans- formation between input and output based on the distribution of inputs during the training process. The param- eters are generally fixed after training is completed. Both the input and output of a BN layer are four-dimensional tensors, which we refer to as I b, c, h, w and O b, c, h, w, respectively. The dimensions correspond to examples within batch b, channel c, and spatial dimensions h and w, respectively. For input images the channels correspond to the RGB channels. BN applies the same normalization for all activations in a given channel: O b, c, h, w ← γ c I b, c, h, w − μ c ffiffiffiffiffiffiffiffiffiffiffi ffi σ c + ε p + β c ∀ b, c, h, w, 2) where μ c and σ c are, respectively, the batch mean and the batch standard deviation across channel c. The BN layer is parameterized by two learnable parameters: β c and γ c, which control, respectively, the desired mean and vari- ance of the output. In the proposed PMML format, a BN layer is represented using a NetworkLayer element with the layerType attribute set to BatchNormalization. Activation Layer The activation layer applies an activation function to each element in the input tensor. In the proposed PMML format, an activation layer is represented using a NetworkLayer element with the layerType attribute set to Smart and Sustainable Manufacturing Systems 88 FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS Activation. The activation function can be any one of linear, ReLU, sigmoid, tanh, elu, or softmax. The attribute threshold allows the activation function to be offset horizontally. For example, the transformation applied by the ReLU activation function is: x ← x − t (3) f relu ð x Þ = min ð max ð a, a x Þ, γ Þ (4) where a is the value of the negative_slope attribute, t is the value of the threshold attribute, and γ is the value of the max_value attribute. If the max_value attribute is not supplied, then γ is assumed to be infinity. Padding Layer A padding layer pads the spatial dimensions of a tensor with a constant value, often zero. This operation is commonly used to increase the size of oddly shaped layers, to allow dimension reduction in subsequent layers. In the proposed PMML format, a padding layer is represented using a NetworkLayer element with the layerType attribute set to Padding2D. Reshape Layer A reshape layer reshapes the input tensor. The number of values in the input tensor must equal the number of values in the output tensor. The first dimension is not reshaped as this is commonly the batch dimension. In the proposed PMML format, a padding layer is represented using a NetworkLayer element with the layerType attrib- ute set to Reshape. The flatten layer is a variant of the reshape layer that flattens the input tensor such that the output size is ð batch size, n Þ, where n is the number of values in the input tensor. In the proposed PMML format, a flatten layer is represented using a NetworkLayer element with the layerType attribute set to Flatten. Transposed Convolution Transposed convolutions, also called deconvolutions, arise from the desire to use a transformation going in the opposite direction of a normal convolution, for example to increase the spatial dimensions of a tensor. They are commonly used in CNN decoders, which progressively increase the spatial size of the input tensor. In the PMML CNN format, a transposed convolution layer is represented using a NetworkLayer element with the layerType attribute set to TransposedConv2D. NEURAL NETWORK OUTPUT CNNs are commonly used for image classification, segmentation, regression, and object localization. To be widely applicable, the PMML CNN standard should support all of these output types. The proposed standard should also support multiple outputs types such that it can, for example, predict the age and gender of a person from an image. The NetworkOutputs element is used to define the outputs of a deep neural network. Each output is defined using the NetworkOutput element. Several examples of neural network output definitions are provided in figure 5. The PMML CNN extension can be used to represent classification models. Classification models approxi- mate a mapping function ( f) from input variables ( X) to a discrete output variable ( y. The output variables are often called labels or categories. The mapping function predicts the class or category for a given observation. For example, an image can be classified as belonging to one of two classes: “ cat ” or “ dog. ” It is common for clas- sification models to predict a continuous value as the probability of a given example belonging to each output class. The probabilities can be interpreted as the likelihood or confidence of a given example belonging to each class. A predicted probability can be converted into a class value by selecting the class label that has the highest probability. The proposed extension introduces a DiscretizeClassification element that defines this transforma- tion. Specifically, DiscretizeClassification describes a transformation that takes an input tensor of class likelihoods and outputs a string describing the most probable class. ON PMML FORMAT FOR REPRESENTING CNNS 89 The proposed PMML extension can also be used to represent models that return one or more continuous values. This type of model is commonly referred to as a regression model. Formally, regression models approxi- mate a mapping function ( f) from input variables ( X) to a continuous output variable ( Y. A continuous output variable is a real value, such as an integer or floating point value, or a tensor of continuous values. These are often quantities, such as amounts and sizes. The existing FieldRef PMML element is used to define regression models. If a FieldRef is contained in a NetworkOuput, then it returns a copy of any specified tensor in the neural network. If the FieldRef has a double data type, then it converts single-element tensors to a single double value. Deep neural networks are also commonly used for object localization. Object localization is the problem of predicting the location of an object in an image. A localization model will often return object coordinates in the form ð x 1, y 1, x 2, y 2 Þ that describe the corners of the predicted bounding box. This type of model can be simply represented as a regression model that outputs four continuous variables. Alternatively, this model can be rep- resented as a regression model that returns a tensor containing four continuous values. Semantic segmentation is one of the fundamental tasks in computer vision. In semantic segmentation, the goal is to classify each pixel of the image in a specific category. Formally, semantic segmentation models approxi- mate a mapping function ( f) from an input image ( I ∈ ℝ W × H × C) to a tensor of object classes ( Y ∈ ℝ W × H. Most modern neural network architectures learn a mapping between the input image and a tensor that describes the class likelihood for each pixel P ∈ ℝ W × H × N, where N is the number of predefined classes. The final step is to select the class with the largest likelihood for each pixel. The proposed PMML extension introduces a DiscretizeSegmentation element that defines this transformation. Specifically, DiscretizeSegmentation describes a transformation that takes an input tensor P and outputs a tensor containing the most likely pixel classes. Manufacturing Defect Segmentation In this section, we show how the proposed PMML format can be used to facilitate transfer learning in a defect segmentation task. CNNs have been particularly successful for detecting manufacturing defects using camera or X-ray images. 1, 2, 26 The goal of this section is to develop a classifier that can segment each pixel of an X-ray image into one of three classes: manufacturing part, manufacturing defect, and background. The background class aims to capture the part of the image that does not contain any manufacturing parts. In this way, the algorithm can identify the shape of the scanned part in addition to identifying any defects in the part. Four pretrained image FIG. 5 Examples of different CNN output definitions in the PMML CNN extension. Smart and Sustainable Manufacturing Systems 90 FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS segmentation models are converted to the PMML format, allowing them to be easily loaded into machine learning frameworks such as Keras, TensorFlow, or PyTorch. Each model is then fine-tuned on the GDXray casting defect data set. The fine-tuned models are exported to the proposed PMML format and made publicly available. Finally, the PMML models are loaded onto a high-performance TensorFlow scoring engine to demonstrate how the model could be used in a manufacturing environment. GDXRAY D ATA SET The GDXray data set is a collection of annotated X-ray images. 27 The Castings series of this data set contains 2, 727 X-ray images mainly from automotive parts, including aluminum wheels and knuckles. The casting defects in each image are labeled with tight-fitting bounding boxes. The size of the images in the data set ranges from 256 × 256 to 768 × 572 pixels. The GDXray data set has been used by many researchers as a standard benchmark for defect detection and segmentation. 23, 28 In this work, another segmentation label is added to the data set that separates manufacturing parts from empty space or unrelated objects in the X-ray scan. The new labels are gen- erated in a semiautomated fashion using traditional computer vision techniques including median filtering and k-means clustering. All labels are then manually validated and edited. In previous work, we trained CNN models for defect instance segmentation, 1 defect detection, 2 and tile- based defect classification, 23 all using the GDXray data set. In defect detection, the goal is to place a bounding box around each defect in the image. In defect instance segmentation, the goal is to identify which image pixels belong to each defect. Finally, in tile-based defect classification, the goal is to simply predict whether a defect exists somewhere in an image. In a practical sense, defect instance segmentation models are the most useful, as they predict the exact pixel location of each defect. However, instance segmentation models are notoriously difficult to train and slow to evaluate when compared with pixel segmentation models. Therefore, we chose to train a pixel segmentation model. In the case where defects are not touching, the pixel segmentation and instance segmen- tation models will essentially produce the same type of output. The popular U-Net architecture is chosen for defect segmentation as it has be successfully applied to many similar problems in biomedical 29 and engineering applications. 30 The U-Net architecture consists of an encoder and a decoder. The encoder is a CNN that gradually reduces the spatial size of the input image while increasing the number of channels. It is common practice to use a portion of a classification model, such as ResNet-50, for the U-Net encoder. The decoder is a CNN that performs the opposite transformation on the image, gradually increasing the spatial size while reducing the number of channels. The output of the U-Net model is a tensor that describes the class likelihood for each pixel. The pre- dicted class can be obtained by finding the maximum score for each pixel. TRAINING The U-Net architecture is chosen as the primary architecture for semantic segmentation of manufacturing defects. Experiments are conducted using the U-Net architecture with four different backbone networks, namely VGG-16, ResNet-50, MobileNet, and DenseNet-121. The GDXray Castings data set is divided into training and testing data sets, using the same split as described previously in an earlier work. 2 Images that do not contain any defects are discarded from the training set. Image augmentation is used extensively to prevent overfitting. During training, images are randomly sampled from the training set and padded with black pixels, such that they have a height and width of 384 pixels or larger. Each image is randomly cropped to a size of 384 × 384 pixels. The image is then rotated 90, horizontally flipped, or vertically flipped with a probability of 0. 5. Rotating or flipping an image in the GDXray Casting data set produces an image that can be recreated using the same test apparatus, validating this augmentation procedure. Additionally, elastic deformation 31 and brightness transformations are applied to the images. Elastic deformation changes the apparent shape of the manufactured part without producing an unrea- sonable image. In general, the defects in the GDXray Castings series can easily be hidden when scaling, distorting, or adding noise to the images. 1 Thus, no blurring or random noise is added to the images, and only a small amount of elastic deformation is applied. The U-Net models are all trained for 20 Epochs on the GDXray data set using the Adam optimizer, 32 with a batch size of 16 and an initial learning rate of 0. 01. ON PMML FORMAT FOR REPRESENTING CNNS 91 For testing, each im age is padded with bl ack pixels so that each di mension is a multip le of 32 pixels. The intersection ov er union (IoU) metr ic is used to measure th e performance of each mo del. The IoU metric me asures the number of pixels comm on between the target an d prediction mask s divided by the total number of pi xels present acro ss both masks. It is importan t to note that this metric di ffers from ou r previous wo rk, 1, 2 which con- sidered any dete ction correct if the bounding box IoU was gr eater than 0. Th e test set predic tion accurac y for each model is presented in Tabl e 1. Some exampl e predictio ns are shown in fi gure 6. The traine d GDXray classifi cation models are made publicly available in the prop osed PMML form at to accelera te future rese arch in this dire ction. 25 The application of transfer learning has been shown to be beneficial on the GDXray data set. 1 In transfer learning, a model is first trained on a large data set, like the ImageNet data set. The model is then fine-tuned on a domain-specific task. In many cases, knowledge gained from the original task can improve the performance on the second task. In this work, transfer learning is applied as follows: pretrained models are obtained for the U-Net backbone networks, namely VGG-16, ResNet-50, MobileNet, and DenseNet-121. These models are converted to the PMML CNN format using a purpose-built model converter. 25 The neural network weights from these models are then used to initialize the U-Net model weights. After the U-Net models are trained on the GDXray data set, they are stored using the PMML CNN format. EFFICIENCY AND PERFORMANCE Modern CNNs are growing increasingly complex, with recent architectures having hundreds of layers and mil- lions of parameters. Therefore, storage efficiency, serialization performance, and deserialization performance must be considered when designing a standardized format for modern neural networks. To evaluate the perfor- mance of the proposed format, we develop a PMML scoring engine with support for deep CNNs and conduct a number of performance experiments. There are two main factors when considering the performance of a scoring engine: 1) The amount of time it takes to load a model from a PMML file into memory, and (2) the amount of time required to evaluate a new input. We will refer to (1) as the initial load time and (2) as the evaluation time. The initial load time of modern neural networks tends to be quite large as most modern CNNs have complicated dataflow graphs and millions of parameters. However, models are generally kept in memory between subsequent predictions, so initial load time is not a major influence on the speed at which the scoring engine can process images. The prediction time, however, is critical to many applications in manufacturing, as it dictates the amount of time between an observation being made and a prediction being obtained. A scoring engine is developed to evaluate image inputs against CNN models in the proposed PMML format. The scoring engine uses the TensorFlow machine learning framework to perform the mathematical operations associated with each network layer. In our scoring engine, the PMML file is parsed using the lxml XML parser 33 and the Python programming language. The scoring engine is engineered in such a way that the dataflow graph can be evaluated on a central processing unit (CPU) graphics processing unit (GPU) or tensor processing unit (TPU. The scoring engine can be used to evaluate batches of one or more images against a PMML model. The scoring engine can also be used to process a video stream. Processing video streams using CNNs can be difficult as TABLE 1 Test accuracy and model statistics for CNN models that were trained on the GDXray defect data set. Accuracy is presented using the per-pixel IoU metric Model Backbone/Encoder PMML File Size (kB) Test Accuracy (IoU) Manufactured Part Manufacturing Defect U-Net VGG-16 54 0. 899 0. 753 U-Net ResNet-50 101 0. 921 0. 799 U-Net MobileNet 75 0. 913 0. 713 U-Net DensetNet-121 186 0. 944 0. 865 Note: Bold values indicate highest contributions. Smart and Sustainable Manufacturing Systems 92 FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS the video frame rate (typically 30 frames per second) often exceeds the neural network execution speed. To over- come this, the proposed scoring engine processes batches of images, in parallel. Video frames are assumed to be streaming from a computer network or camera device. Each video frame is immediately added to a queue after being decoded. The scoring engine continuously removes batches of images from the queue and evaluates them against the CNN model. When using GPU or TPU hardware, a batch of video frames takes a similar amount of time to process as a single image. Hence, the scoring engine can evaluate individual frames against most common CNN models at the native frame rate. The performance characteristics of the proposed PMML format are analyzed using the aforementioned PMML scoring engine. Experiments are conducted using the U-Net architecture with four backbone networks as mentioned previously. In each case, we use a PMML model trained on the GDXray defect detection task. The experiments are conducted on three platforms: a desktop computer with a single NVIDIA 1080 Ti GPU, an identical desktop computer without a dedicated GPU, and a cloud-based virtual machine with a TPU. Figure 7 shows the time required to parse the PMML file and load the dataflow graph into memory on each of the three platforms. In these experiments, the load time appears to be related to the complexity of the computa- tional graph rather than the size of the model weights. For example, the VGG16 U-Net model, which has 31 parameterized layers and 138 million parameters, loads much faster than the DenseNet121 U-Net model, which has 262 parameterized layers and 10 million parameters. This was unexpected but not unsurprising, as DenseNet121 has a far more complex computational graph than simple models like VGG16. Figure 8 shows FIG. 6 Comparison of ground truth and predictions using the U-Net segmentation network with Dens eNet-121 Backbone. ON PMML FORMAT FOR REPRESENTING CNNS 93 the time requ ired to parse the PMML fi le and build th e correspo nding comp utationa l graph. For ea ch model, the PMML load time is a small fr action of the total lo ad time, sugges ting that litt le computati onal overhe ad is introduce d by storing the mode l in the PMML format. I n a manufacturi ng context, PMML lo ad time would only i nfluence the startup time of a mach ine, as the CNN mode l only needs to be initia lized once. Finally, figur e 9 shows the predicti on time on the thre e platform s. Model pred iction tim e is consisten t with values reported in othe r studies. 34 Discussion In this work, we proposed an extension to the PMML format for the standardized representation of CNN models. The proposed extension adds a DeepNetwork element to the existing standard, which stores the necessary in- formation about a CNN model for fine-tuning or evaluation. A casting defect segmentation system was developed to illustrate how the proposed PMML format can be used to improve interoperability of existing machine learning frameworks and scoring engines. The defect FIG. 7 Total load time for four different models. Total load time is defined as the time from when the PMML file first starts to load until the time that the dataflow graph is ready to make predictions. 8 PMML load time for four different models. PMML load time is defined as the time taken to load the PMML file from the disk and parse the PMML file. Smart and Sustainable Manufacturing Systems 94 FERGUSON ET AL. ON PMML FORMAT FOR REPRESENTING CNNS detection system identified manufacturing defects in the GDXray images while also identifying what pixels be- longed to which manufacturing parts. Performing simultaneous semantic segmentation of machine part and defect pixels represents a unique approach to defect classification on the GDXray data set when compared to previously explored methods. 1, 2, 28 This approach could be useful for reducing the number of false-positive results encountered when the defect detection system incorrectly finds defects outside the part, as discussed in Ferguson et al. 1 Historically, manufacturing researchers and technicians were concerned that deep learning systems would require an infeasible amount of data to train. However, by leveraging transfer learning, it is now possible to train a powerful computer vision system with as little as a thousand training examples. In this work, the PMML CNN format is used as an intermediate representation to store pretrained models before they are used to initialize the U-Net model weights. In this way, PMML CNN reduced overall software complexity as both the intermediate models and final models were stored in the same format. Purpose-built scoring engines will become increasingly important in the smart manufacturing industry, es- pecially as internet-connected manufacturing machines become more mainstream. The response time and throughput capacity of these scoring engines are critical to the adoption of predictive modeling in smart manu- facturing. For many real-time applications, the response time of the scoring machine must be sufficiently low to avoid manufacturing devices becoming idle while waiting for feedback from the scoring engine. A high- performance scoring engine was created using the proposed PMML format. Because of the declarative nature of the proposed PMML format, it was possible for the scoring engine to evaluate models on CPU, GPU, or TPU hardware. This level of flexibility could be highly beneficial for manufacturing applications for which models must be evaluated on embedded systems (CPU evaluation) or with high-throughput and low latency (TPU evaluation. Future work could focus on further extending the DeepNetwork element to support complex CNN models, such as object detection or instance segmentation models. Another opportunity for future work is to extend PMML to support more deep neural network types, including RNNs or Natural Language Models. Conclusion In this work, we proposed an extension to the PMML format for the standardized representation of CNN models. A semantic segmentation-based casting defect system was developed to illustrate how PMML CNN can improve the interoperability of existing machine learning frameworks and scoring engines. Furthermore, a scoring engine was created for this new standardized schema and used to evaluate the performance characteristics of the FIG. 9 Model prediction time on three different computation platforms, using each model. Model prediction time is defined as the amount of time required to generate a prediction from a new input when using a batch size of 1. ON PMML FORMAT FOR REPRESENTING CNNS 95 proposed format. The scoring engine and the trained models have all been made publicly available to accelerate research in the field. ACKNOWLEDGMENTS This research is partially supported by the Smart Manufacturing Systems Design and Analysis Program at the National Institute of Standards and Technology (NIST) grant numbers 70NANB18H193 and 70NANB19H097 awarded to Stanford University. DISCLAIMER Certain commercial systems are identified in this article. Such identification does not imply recommendation or endorsement by NIST, nor does it imply that the products identified are necessarily the best available for the purpose. Furthermore, any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NIST or any other supporting U. S. government or corporate organizations. References 1. M. Ferguson, R. Ak, Y. Lee, and K. Law, “ Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning, ” Smart and Sustainable Manufacturing Systems 2, no. 1 (2018) 137 – 164. 2. Law, “ Automatic Localization of Casting Defects with Convolutional Neural Networks, ” in 2017 IEEE International Conference on Big Data (Piscataway, NJ: Institute of Electrical and Electronics Engineers, 2017) 1726 – 1735. 3. P. Napoletano, F. Piccoli, and R. Schettini, “ Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity, ” Sensors 18, no. 2 (2018) 209. 4. Y. Chu, C. Huang, X. Xie, B. Tan, S. Kamal, and X. Xiong, “ Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling, ” Computational Intelligence and Neuroscience 2018 (November 2018) 5060857. A. Memo, D. Demirdjian, G. Marin, K. Tieu, F. Peruch, P. Salvagnini, G. Murali, C. Dal Mutto, and G. Cesare. Systems and methods for inspection and defect detection using 3-D scanning. US Patent 20180322623, filed May 8, 2018, and issued November 8, 2018. 6. L. K. Redden, J. Ostrowski, K. Anderson, and E. W. J. Pell. Modular precision agriculture system. US Patent 201562129400P, filed March 6, 2015. 7. Hazeghi, G. Pasqualotto, K. Blackstone, C. Dal Mutto, A. Rafii, J. Trachewsky, and J. Masters. System and method for portable active 3D scanning. US Patent US10204448B2, filed November 11, 2016, and issued February 12, 2019. 8. Abadi, P. Barnham, J. 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The use of deep convolutional neural networks is becoming increasingly popular in the engineering and manufacturing sectors. However, managing the distribution of trained models is still a difficult task, partially due to the limitations of standardized methods for neural network representation. This paper seeks to address this issue by proposing a standardized format for convolutional neural networks, based on the Predictive Model Markup Language (PMML. A number of pre-trained ImageNet models are converted to the proposed PMML format to demonstrate the flexibility and utility of this format. These models are then fine-tuned to detect casting defects in Xray images. Finally, a scoring engine is developed to evaluate new input images against models in the proposed format. The utility of the proposed format and scoring engine is demonstrated by benchmarking the performance of the defect-detection models on a range of different computation platforms. The scoring engine and trained models are made available at. This study proposes a multilayer hybrid deep-learning system (MHS) to automatically sort waste disposed of by individuals in the urban public area. This system deploys a high-resolution camera to capture waste image and sensors to detect other useful feature information. The MHS uses a CNN-based algorithm to extract image features and a multilayer perceptrons (MLP) method to consolidate image features and other feature information to classify wastes as recyclable or the others. The MHS is trained and validated against the manually labelled items, achieving overall classification accuracy higher than 90% under two different testing scenarios, which significantly outperforms a reference CNN-based method relying on image-only inputs. This work presents an in-depth analysis of the majority of the deep neural networks (DNNs) proposed in the state of the art for image recognition. For each DNN multiple performance indices are observed, such as recognition accuracy, model complexity, computational complexity, memory usage, and inference time. The behavior of such performance indices and some combinations of them are analyzed and discussed. To measure the indices we experiment the use of DNNs on two different computer architectures, a workstation equipped with a NVIDIA Titan X Pascal and an embedded system based on a NVIDIA Jetson TX1 board. This experimentation allows a direct comparison between DNNs running on machines with very different computational capacity. This study is useful for researchers to have a complete view of what solutions have been explored so far and in which research directions are worth exploring in the future; and for practitioners to select the DNN architecture(s) that better fit the resource constraints of practical deployments and applications. To complete this work, all the DNNs, as well as the software used for the analysis, are available online. Quality control is a fundamental component of many manufacturing processes, especially those involving casting or welding. However, manual quality control procedures are often time-consuming and error-prone. In order to meet the growing demand for high-quality products, the use of intelligent visual inspection systems is becoming essential in production lines. Recently, Convolutional Neural Networks (CNNs) have shown outstanding performance in both image classification and localization tasks. In this article, a system is proposed for the identification of casting defects in X-ray images, based on the Mask Region-based CNN architecture. The proposed defect detection system simultaneously performs defect detection and segmentation on input images, making it suitable for a range of defect detection tasks. It is shown that training the network to simultaneously perform defect detection and defect instance segmentation, results in a higher defect detection accuracy than training on defect detection alone. Transfer learning is leveraged to reduce the training data demands and increase the prediction accuracy of the trained model. More specifically, the model is first trained with two large openly-available image datasets before finetuning on a relatively small metal casting X-ray dataset. The accuracy of the trained model exceeds state-of-the art performance on the GRIMA database of X-ray images (GDXray) Castings dataset and is fast enough to be used in a production setting. The system also performs well on the GDXray Welds dataset. A number of in-depth studies are conducted to explore how transfer learning, multi-task learning, and multi-class learning influence the performance of the trained system. Automatic localization of defects in metal castings is a challenging task, owing to the rare occurrence and variation in appearance of defects. Convolutional neural networks (CNN) have recently shown outstanding performance in both image classification and localization tasks. We examine how several different CNN architectures can be used to localize casting defects in X-ray images. We take advantage of transfer learning to allow state-of-the-art CNN localization models to be trained on a relatively small dataset. In an alternative approach, we train a defect classification model on a series of defect images and then use a sliding classifier method to develop a simple localization model. We compare the localization accuracy and computational performance of each technique. We show promising results for defect localization on the GRIMA database of X-ray images (GDXray) dataset and establish a benchmark for future studies on this dataset. Automatic detection and localization of anomalies in nanofibrous materials help to reduce the cost of the production process and the time of the post-production visual inspection process. Amongst all the monitoring methods, those exploiting Scanning Electron Microscope (SEM) imaging are the most effective. In this paper, we propose a region-based method for the detection and localization of anomalies in SEM images, based on Convolutional Neural Networks (CNNs) and self-similarity. The method evaluates the degree of abnormality of each subregion of an image under consideration by computing a CNN-based visual similarity with respect to a dictionary of anomaly-free subregions belonging to a training set. The proposed method outperforms the state of the art. In this chapter, we will cover PyTorch which is a more recent addition to the ecosystem of the deep learning framework. PyTorch can be seen as a Python front end to the Torch engine (which initially only had Lua bindings) which at its heart provides the ability to define mathematical functions and compute their gradients. PyTorch has fairly good Graphical Processing Unit (GPU) support and is a fast-maturing framework. Many architects believe that major improvements in cost-energy-performance must now come from domain-specific hardware. This paper evaluates a custom ASIC- called a Tensor Processing Unit (TPU. deployed in datacenters since 2015 that accelerates the inference phase of neural networks (NN. The heart of the TPU is a 65, 536 8-bit MAC matrix multiply unit that offers a peak throughput of 92 TeraOps/second (TOPS) and a large (28 MiB) software-managed on-chip memory. The TPU's deterministic execution model is a better match to the 99th-percentile response-time requirement of our NN applications than are the time-varying optimizations of CPUs and GPUs that help average throughput more than guaranteed latency. The lack of such features helps explain why, despite having myriad MACs and a big memory, the TPU is relatively small and low power. We compare the TPU to a server-class Intel Haswell CPU and an Nvidia K80 GPU, which are contemporaries deployed in the same datacenters. Our workload, written in the high-level TensorFlow framework, uses production NN applications (MLPs, CNNs, and LSTMs) that represent 95% of our datacenters' NN inference demand. Despite low utilization for some applications, the TPU is on average about 15X. 30X faster than its contemporary GPU or CPU, with TOPS/Watt about 30X. 80X higher. Moreover, using the CPU's GDDR5 memory in the TPU would triple achieved TOPS and raise TOPS/Watt to nearly 70X the GPU and 200X the CPU.

Questi sono i film che fanno essere orgogliosi italiani di essere un grande grande Fellini. Simplemente una gran pelicula de Federico Fellini y Julieta Massina Una gran actriz. estupenda. fenomenal. por eso ganó a mejor pelicula extranjera en 1956, simplemente hermoso. una joya cinamatografica mundial... Lo sceicco bianco ONLinE fRee 123mOvIEs withoUt regiSTEring Lo sceicco bianco. Hidden network cloud where download lo sceicco bianco para. I could listen to this all day. 1. Eli's Theme (From "Let The Right One In " 2. The Labyrinth (From "Pan's Labyrinth" 3. Mathilde's Theme (From "A Very Long Engagement" 4. Les Choristes (From "Les Choristes" 5. In Memoriam (From "Les Choristes" 6. La Valse D'Amelie (From "Amelie" 7. L' autre Valse D'Amelie (From "Amelie" 8. Crouching Tiger, Hidden Dragon / The Eternal Vow (From 9. Life Is Beautiful (From "Life Is Beautiful" 10. You Make Me Happy And Sad (From "Eat Drink Man 11. Il Postino (From "Il Postino" 12. Lullaby (From "Queen Margot" 13. Bygone Love (From "Farewell My Concubine" 14. The Heart Asks Pleasure First (From "The Piano" 15. Atlantis (From "Atlantis) 16. Once Upon A Time In China (From "Once Upon A Time 17. Concert in E - minor (From " The Double Life Of 1. Cyrano De Bergerac (From "Cyrano De Bergerac" 2. Learning Time (From "La Femme Nikita" 3. Till The End Of The World (From "Red Dust" 4. Blue Sea Laughter (From "Swordsman" 5. The Hairdresser's Husband Suite (From "The 6. A City Of Sadness (From "A City Of Sadness" 7. The Banquet (From "Camille Claudel" 8. Cinema Paradiso Love Theme (From "Cinema Paradiso" 9. The Big Blue (From "The Big Blue" 10. Halt The Sunrise (From "A Chinese Ghost Story" 11. The Last Emperor (From "The Last Emperor) 12. Betty Blue (From "Betty Blue) 13. Jean De Florette (From "Jean De Florette" 14. Fanfare. I ain't Captain Walker" From "Mad Max: 15. Subway / Masquerade (From "Subway" 16. Fort Saganne (From "Fort Saganne" 1. L'Enfant from Opera Sauvage (From "The Year Of Living 2. Das Boot (From "Das Boot" 3. Ebben? ne andro lontano (From "Diva" 4. Promenade Sentimentale (From "Diva" 5. Adagio in G minor (From Gallipoli" 6. Chi Mai (From "Le Professional" 7. Mad Max 1 & 2 (From Mad Max 1 & 2) 8. Main Title / Encounter With Angel / Tess (From "Tess" 9. The Tin Drum (From "The Tin Drum" 10. Prova D'Orchestra (From "Prova D'Orchestra" 11. Bilitis (From "Bilitis" 12. Providence (From "Providence" 13. Suspiria (From "Suspiria" 14. Romanza (From "Novocento (1900) 15. Il Casanova (From "Il Casanova" 16. Emmanuelle (From "Emmanuelle" 1. Amarcord Suite (From "Amarcord) 2. Chorale (From "Day For Night" 3. My Name Is Nobody (From "My Name Is Nobody" 4. Fellini's Roma (From "Fellini's Roma" 5. The Tango (From "Last Tango In Paris" 6. State Of Siege (From "State Of Siege" 7. Duck, You Sucker (From "A Fistful Of Dynamite" 8. Adagietto from Symphony No. 5 (From "Death In Venice" 9. Red Sun (Soleil Rouge) From "Red Sun (Soleil Rouge) 10. Fellini Satyricon (From "Fellini Satyricon" 11. The Five Man Army ( From The Five Man Army" 12. The Red Tent (From "The Red Tent" 13. The Sicilian Clan (From "The Sicilian Clan" 14. Theme from Z (From "Z" 15. Destroy All Monsters (From "Destroy All Monsters" 16. Guns For San Sebastian Overture (From "Guns For San 17. Toby Dammit (From "Histoires Extraordinaires" 1. Man With The Harmonica (From "Once Upon A Time In 2. Jill's Theme (From "Once Upon A Time In The West" 3. Romeo and Juliet Love Theme (From "Romeo And Juliet" 4. Romeo And Juliet Are Wed From "Romeo And Juliet" 5. Concerto (From "Les Demoiselles De Rochefort" 6. Play Time (From "Play Time" 7. Django (From "Django" 8. A Man And A Woman (From "A Man And A Woman" 9. Today It's You (From "A Man And A Woman" 10. The Good, The Bad And The Ugly (From "The Good, 11. The Ecstasy of Gold (From "The Good, The Bad And 12. For A Few Dollars More (From "For A Few Dollars More" 13. Juliet Of the Spirits (From "Giulietta Degli Spiriti " 14. A Fistful of Dollars (From "A Fistful Of Dollars" 15. Ghidorah, The Three Headed Monster (From "Ghidorah, 16. Les Parapluies de Cherbourg (From "Les Parapluies De 17. Zorba's Dance (From "Zorba The Greek" 1. 8 1/2 (From "Otto E Mezzo" 2. Boccaccio ' 70 (From Bocaccio "70" 3. Main Theme / Vacances (From "Jules Et Jim" 4. Phaedra (From "Phaedra" 5. La Dolce Vita Suite (From "La Dolce Vita" 6. Never On Sunday (From "Never On Sunday" 7. Black Orpheus (From "Black Orpheus" 8. The Honeymoon Song (From "Honeymoon" 9. Mon Oncle (from "Mon Oncle" 10. The Nights Of Cabiria (From " Le Notte Di Cabiria" 11. Il Bidone (From "Il Bidone" 12. La Strada (From "La Strada" 13. Godzilla (From "Godzilla, King Of The Monsters" 14. I Vitelloni (From "I Vitelloni" 15. The White Sheikh (From "Lo Sceicco Bianco" 16. Alexander's Entry Into Pskov (From "Alexander Nevsky" 17. Omens of Nosferatu (From "Nosferatu.

Magnificente.

 

1 Man With The Harmonica (From “Once Upon a Time in the West" 3:52 The City of Prague Philharmonic Orchestra 2 Jill's Theme (From “Once Upon a Time in the West" 6:04 The City of Prague Philharmonic Orchestra 3 Love Theme (From "Romeo and Juliet" 2:42 The City of Prague Philharmonic Orchestra 4 Romeo and Juliet Are Wed (From "Romeo And Juliet" 1:45 The City of Prague Philharmonic Orchestra 5 Concerto (From "Les Demoiselles De Rochefort" 2:12 Michel Legrand 6 Play Time (From "Play Time" 3:06 The City of Prague Philharmonic Orchestra 7 Django (From "Django" 2:58 Keith Ferreira 8 A Man And A Woman (From "A Man And A Woman. feat. The City of Prague Philharmonic Orchestra) 2:39 Keith Ferreira 9 Today Its You (From "A Man And A Woman" 2:09 The City of Prague Philharmonic Orchestra 10 Main Title (From “The Good, The Bad And The Ugly" 2:53 The City of Prague Philharmonic Orchestra 11 The Ecstasy of Gold (From “The Good, The Bad And The Ugly" 3:00 The City of Prague Philharmonic Orchestra 12 Main Titles (From “For a Few Dollars More" 3:22 The City of Prague Philharmonic Orchestra 13 Juliet of the Spirits (From "Giulietta Degli Spiriti" 7:21 The City of Prague Philharmonic Orchestra 14 A Fistful of Dollars (From “A Fistful of Dollars" 3:26 The City of Prague Philharmonic Orchestra 15 Theme (From "Ghidrah, the Three Headed Monster" 2:20 The City of Prague Philharmonic Orchestra 16 Theme (From "Les Parapluies de Cherbourg" 4:01 Michel Legrand 17 Zorba's Dance (From "Zorba the Greek" 4:21 The City of Prague Philharmonic Orchestra 18 8 1/2 (From "Otto E Mezzo" 5:16 The City of Prague Philharmonic Orchestra 19 Boccaccio ' 70 (From "Bocaccio "70" 1:31 The City of Prague Philharmonic Orchestra 20 Main Theme / Vacances (From "Jules Et Jim" 4:57 The City of Prague Philharmonic Orchestra 21 Phaedra (From "Phaedra" 5:15 The City of Prague Philharmonic Orchestra 22 La Dolce Vita Suite (From "La Dolce Vita" 7:11 The City of Prague Philharmonic Orchestra 23 Never On Sunday (From "Never On Sunday" 4:12 The City of Prague Philharmonic Orchestra 24 Black Orpheus (From "Black Orpheus" 4:20 The City of Prague Philharmonic Orchestra 25 The Honeymoon Song (From "Honeymoon" 3:15 The City of Prague Philharmonic Orchestra 26 Mon Oncle (from "Mon Oncle" 2:25 The City of Prague Philharmonic Orchestra 27 The Nights of Cabiria (From "Le Notte Di Cabiria" 6:11 The City of Prague Philharmonic Orchestra 28 Il Bidone (From "Il Bidone" 4:50 The City of Prague Philharmonic Orchestra 29 La Strada (From "La Strada" 6:40 The City of Prague Philharmonic Orchestra 30 Godzilla (From "Godzilla, King Of The Monsters" 2:17 The City of Prague Philharmonic Orchestra 31 I Vitelloni (From "I Vitelloni" 3:05 The City of Prague Philharmonic Orchestra 32 The White Sheikh (From "Lo Sceicco Bianco" 2:48 The City of Prague Philharmonic Orchestra 33 Alexander's Entry into Pskov (From "Alexander Nevsky" 4:22 The City of Prague Philharmonic Orchestra 34 Omens of Nosferatu (From "Nosferatu" 3:02 The City of Prague Philharmonic Orchestra.

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Fantastico compositore. Un grande.

 

Little Women Movie Stream megavideo Online Now kickass no registration

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Creator=Greta Gerwig
Duration=2 h 15 Minute

2019
country=USA
brief=Little Women is a movie starring Saoirse Ronan, Emma Watson, and Florence Pugh. Jo March reflects back and forth on her life, telling the beloved story of the March sisters - four young women each determined to live life on their
Little Women First volume of Little Women (1868) Author Louisa May Alcott Country United States Language English Series Little Women Genre Coming of age Bildungsroman Publisher Roberts Brothers Publication date 1868 (1st volume) 1869 (2nd volume) Media type Print Pages 759 Followed by Little Men Little Women is a novel by American author Louisa May Alcott (1832–1888) which was originally published in two volumes in 1868 and 1869. Alcott wrote the book over several months at the request of her publisher. [1] 2] Following the lives of the four March sisters—Meg, Jo, Beth and Amy—the novel details their passage from childhood to womanhood and is loosely based on the lives of the author and her three sisters. [3] 4] 202 Scholars classify Little Women as an autobiographical or semi-autobiographical novel. [5] 6] 12 Little Women was an immediate commercial and critical success, with readers demanding to know more about the characters. Alcott quickly completed a second volume (titled Good Wives in the United Kingdom, although this name originated from the publisher and not from Alcott. It was also successful. The two volumes were issued in 1880 as a single novel titled Little Women. citation needed] Alcott wrote two sequels to her popular work, both of which also featured the March sisters: Little Men (1871) and Jo's Boys (1886. Little Women differed notably from contemporary writings for children, especially girls. The novel addressed three major themes: domesticity, work, and true love, all of them interdependent and each necessary to the achievement of its heroine's individual identity. 7] 200 Little Women "has been read as a romance or as a quest, or both. It has been read as a family drama that validates virtue over wealth. but also "as a means of escaping that life by women who knew its gender constraints only too well. ” [8] 34 According to Sarah Elbert, Alcott created a new form of literature, one that took elements from Romantic children's fiction and combined it with others from sentimental novels, resulting in a totally new format. Elbert argued that within Little Women can be found the first vision of the " All-American girl " and that her various aspects are embodied in the differing March sisters. [7] 199 The book has frequently been adapted for stage and screen. Development history [ edit] In 1868, Thomas Niles, the publisher of Louisa May Alcott, recommended that she write a book about girls that would have widespread appeal. [4] 2 At first she resisted, preferring to publish a collection of her short stories. Niles pressed her to write the girls' book first, and he was aided by her father Amos Bronson Alcott, who also urged her to do so. [4] 207 Louisa confided to a friend, “I could not write a girls story knowing little about any but my own sisters and always preferring boys”, as quoted in Anne Boyd Rioux's Meg Jo Beth Amy, a condensed biographical account of Alcott's life and writing. In May 1868, Alcott wrote in her journal: Niles, partner of Roberts, asked me to write a girl's book. I said I'd try. 9] 36 Alcott set her novel in an imaginary Orchard House modeled on her own residence of the same name, where she wrote the novel. [4] xiii She later recalled that she did not think she could write a successful book for girls and did not enjoy writing it. [10] 335- I plod away. she wrote in her diary, although I don't enjoy this sort of things. 9] 37 By June, Alcott had sent the first dozen chapters to Niles, and both agreed these were dull. But Niles' niece Lillie Almy read them and said she enjoyed them. [10] 335–336 The completed manuscript was shown to several girls, who agreed it was "splendid. ” Alcott wrote, they are the best critics, so I should definitely be satisfied. 9] 37 She wrote Little Women "in record time for money. 7] 196x2 but the book's immediate success surprised both her and her publisher. [11] Explanation of the novel's title [ edit] According to literary critic Sarah Elbert, when using the term "little women" Alcott was drawing on its Dickensian meaning; it represented the period in a young woman's life where childhood and elder childhood were "overlapping" with young womanhood. Each of the March sister heroines had a harrowing experience that alerted her and the reader that "childhood innocence" was of the past, and that "the inescapable woman problem" was all that remained. [7. page needed] Other views suggest that the title was meant to highlight the unfair social inferiority, especially at that time, of women as compared to men, or, alternatively, describe the lives of simple people, unimportant" in the social sense. [12] Plot summary [ edit] Part one [ edit] Four teenaged sisters and their mother, whom they call Marmee, live in a new neighborhood (loosely based on Concord) in Massachusetts in genteel poverty. Having lost all his money, their father is acting as a pastor in the American Civil War, far from home. The women face their first Christmas without him. Meg and Jo March, the elder two, have to work in order to support the family: Meg teaches a nearby family of four children; Jo assists her aged great-aunt March, a wealthy widow living in a mansion, Plumfield. Beth, too timid for school, is content to stay at home and help with housework; Amy is still at school. Meg is beautiful and traditional, Jo is a tomboy who writes; Beth is a peacemaker and a pianist; Amy is an artist who longs for elegance and fine society. Jo is impulsive and quick to anger. One of her challenges is trying to control her anger, a challenge that her mother experiences. She advises Jo to speak with forethought before leaving to travel to Washington, where her husband has pneumonia. Their neighbor, Mr. Laurence, who is charmed by Beth, gives her a piano. Beth contracts scarlet fever after spending time with a poor family where three children die. Jo tends Beth in her illness. Beth recovers, but never fully. As a precaution, Amy is sent to live with Aunt March, replacing Jo, while Beth is ill and still infectious. Jo has success earning money with her writing. Meg spends two weeks with friends, where there are parties for the girls to dance with boys and improve their social skills. Theodore "Laurie" Laurence, Mr. Laurence's grandson, is invited to one of the dances, as Meg's friends incorrectly think she is in love with him. Meg is more interested in John Brooke, Laurie's young tutor. Brooke goes to Washington to help Mr. March. While with the March parents, Brooke confesses his love for Meg. They are pleased but consider Meg too young to be married. Brooke agrees to wait. He enlists and serves a year or so in the war. After he is wounded, he returns to find work so he can buy a house ready for when he marries Meg. Laurie goes off to college. On Christmas Day, a year after the book's opening, the girls' father returns from the war. Part two [ edit] Published separately in the United Kingdom as Good Wives) Three years later, Meg and John marry and learn how to live together. When they have twins, Meg is a devoted mother but John begins to feel left out. Laurie graduates from college, having put in effort to do well in his last year with Jo's prompting. Amy goes on a European tour with her aunt. Beth's health is weak and her spirits are down. When trying to uncover the reason for Beth's sadness, Jo realizes that Laurie has fallen in love. At first she believes it's with Beth but soon senses it's with herself. Jo confides in Marmee, telling her that she loves Laurie but she loves him like a brother and that she could not love him in the romantic way. Jo decides she wants a bit of adventure and to put distance between herself and Laurie, hoping he will forget his feelings. She spends six months with a friend of her mother in New York City, serving as governess for her two children. The family runs a boarding house. She takes German lessons with Professor Bhaer, who lives in the house. He has come to America from Berlin to care for the orphaned sons of his sister. For extra money, Jo writes stories without a moral, which disappoints Bhaer. He persuades her to give up poorly written sensational stories as her time in New York comes to an end. When she returns, Laurie proposes marriage and she declines. Laurie travels to Europe with his grandfather to escape his heartbreak. At home, Beth's health has seriously deteriorated. Jo devotes her time to the care of her dying sister. Laurie encounters Amy in Europe, and he slowly falls in love with her as he begins to see her in a new light. She is unimpressed by the aimless, idle and forlorn attitude he has adopted since being rejected by Jo, and inspires him to find his purpose and do something worthwhile with his life. With the news of Beth's death, they meet for consolation and their romance grows. Amy's aunt will not allow Amy to return with just Laurie and his grandfather, so they marry before returning home from Europe. Professor Bhaer goes to the Marches' and stays for two weeks. On his last day, he proposes to Jo. Jo accepts. When Aunt March dies, she leaves Plumfield to Jo. Jo and Bhaer turn the house into a school for boys. They have two sons of their own, and Amy and Laurie have a daughter. At apple-picking time, Marmee celebrates her 60th birthday at Plumfield, with her husband, her three surviving daughters, their husbands, and her five grandchildren. Characters [ edit] Margaret "Meg" March [ edit] Meg, the eldest sister, is 16 when the story starts. She is referred to as a beauty and manages the household when her mother is absent. She is brown-haired and blue-eyed and has particularly beautiful hands. Meg fulfills expectations for women of the time; from the start, she is already a nearly perfect "little woman" in the eyes of the world. [13] Before her marriage to John Brooke, while still living at home, she often lectures her younger sisters to ensure they grow to embody the title of "little women. 14] Meg is employed as a governess for the Kings, a wealthy local family. Because of their father's family's social standing, Meg makes her debut into high society, but is lectured by her friend and neighbor, Theodore "Laurie" Laurence, for behaving like a snob. Meg marries John Brooke, Laurie's tutor. They have twins, Margaret "Daisy" Brooke and John "Demi" Brooke. The sequel, Little Men, mentions a baby daughter, Josephine "Josy" Brooke, 15] who is 14 at the beginning of the final book. [16] Critics have portrayed Meg as lacking in independence, reliant entirely on her husband, and "isolated in her little cottage with two small children. 7] 204 From this perspective, Meg is seen as the compliant daughter who does not "attain Alcott's ideal womanhood" of equality. According to Sarah Elbert, democratic domesticity requires maturity, strength, and above all a secure identity that Meg lacks. 7] 204 Others believe that Alcott does not intend to belittle Meg for her ordinary life, and portrays her in loving detail, suffused in a sentimental light. [17] Josephine "Jo" March [ edit] The principal character, Jo, 15 years old at the beginning of the book, is a strong and willful young woman, struggling to subdue her fiery temper and stubborn personality. [18] 19] The second oldest of four sisters, Josephine March is the boyish one; her father has referred to her as his "son Jo. and her best friend and neighbor, Theodore "Laurie" Laurence, sometimes calls her "my dear fellow. while she alone calls him Teddy. Jo has a "hot" temper that often leads her into trouble. With the help of her own misguided sense of humor, her sister Beth, and her mother, she works on controlling it. It has been said that much of Louisa May Alcott shows through in these characteristics of Jo. [20] Jo loves literature, both reading and writing. She composes plays for her sisters to perform and writes short stories. She initially rejects the idea of marriage and romance, feeling that it would break up her family and separate her from the sisters whom she adores. While pursuing a literary career in New York City, she meets Friedrich Bhaer, a German professor. On her return home, Jo rejects Laurie's marriage proposal, confirming her independence. After Beth dies, Professor Bhaer woos Jo at her home, when "They decide to share life's burdens just as they shared the load of bundles on their shopping expedition. 7] 210 She is 25 years old when she accepts his proposal. The marriage is deferred until her unexpected inheritance of her Aunt March's home a year later. According to critic Barbara Sicherman, The crucial first point is that the choice is hers, its quirkiness another sign of her much-prized individuality. 8] 21 They have two sons, Robin "Rob" Bhaer and Theodore "Teddy" Bhaer. Jo also writes the first part of Little Women during the second portion of the novel. According to Elbert, her narration signals a successfully completed adolescence. 7] 199 Jo is speculated by some to be aromantic, telling Laurie that she will not marry and later expressing that she will not love any man in the way she is expected to by her friends and family. Alcott expressed frustration that so many fans wanted to see Jo wed but ultimately married her off to Bhaer (with Jo reluctantly chasing after him) as, during this time period, women were expected to marry and the book would not have sold well otherwise (as shown in the 2019 movie adaptation with the book only being published once Jo was married. In the 2019 movie adaptation Greta Gerwig makes it clear that Jo was not intended to marry. Elizabeth "Beth" March [ edit] Beth, 13 when the story starts, is described as kind, gentle, sweet, shy, quiet and musical. She is the shyest March sister. [21] 53 Infused with quiet wisdom, she is the peacemaker of the family and gently scolds her sisters when they argue. [22] As her sisters grow up, they begin to leave home, but Beth has no desire to leave her house or family. She is especially close to Jo: when Beth develops scarlet fever after visiting the Hummels, Jo does most of the nursing and rarely leaves her side. Beth recovers from the acute disease but her health is permanently weakened. As she grows, Beth begins to realize that her time with her loved ones is coming to an end. Finally, the family accepts that Beth will not live much longer. They make a special room for her, filled with all the things she loves best: her kittens, her piano, Father's books, Amy's sketches, and her beloved dolls. She is never idle; she knits and sews things for the children who pass by on their way to and from school. But eventually she puts down her sewing needle, saying it grew "heavy. Beth's final sickness has a strong effect on her sisters, especially Jo, who resolves to live her life with more consideration and care for everyone. The main loss during Little Women is the death of beloved Beth. Her "self-sacrifice" is ultimately the greatest in the novel. She gives up her life knowing that it has had only private, domestic meaning. 7] 206–207 Amy Curtis March [ edit] Amy is the youngest sister and baby of the family, aged 12 when the story begins. Interested in art, she is described as a "regular snow-maiden" with curly golden hair and blue eyes, pale and slender" and "always carrying herself" like a proper young lady. She is the artist of the family. [23] Often coddled because she is the youngest, Amy can behave in a vain and self-centered way. [24] 5 She has the middle name Curtis, and is the only March sister to use her full name rather than a diminutive. [25] She is chosen by her aunt to travel in Europe with her, where she grows and makes a decision about the level of her artistic talent and how to direct her adult life. She encounters "Laurie" Laurence and his grandfather during the extended visit. Amy is the least inclined of the sisters to sacrifice and self-denial. She behaves well in good society, at ease with herself. Critic Martha Saxton observes the author was never fully at ease with Amy's moral development and her success in life seemed relatively accidental. [24] However, Amy's morality does appear to develop throughout her adolescence and early adulthood, and she is able to confidently and justly put Laurie in his place when she believes he is wasting his life on pleasurable activities. Ultimately, Amy is shown to work very hard to gain what she wants in life, and to make the most of her success while she has it. Due to her early selfishness (when her friends knew she would not share any pickled lime) and attachment to material things, Amy has been described as the least likable of the four sisters, but she is also the only one who strives to excel at art purely for self-expression, in contrast to Jo, who sometimes writes for financial gain. [26] Additional characters [ edit] Margaret "Marmee" March – The girls' mother and head of household while her husband is away. She engages in charitable works and lovingly guides her girls' morals and their characters. She once confesses to Jo that her temper is as volatile as Jo's, but that she has learned to control it. [27] 130 Somewhat modeled after the author's own mother, she is the focus around which the girls' lives unfold as they grow. [27] 2 Robert March – Formerly wealthy, the father is portrayed as having helped a friend who could not repay a debt, resulting in his family's genteel poverty. A scholar and a minister, he serves as a chaplain in the Union Army during the Civil War and is wounded in December 1862. After the war he becomes minister to a small congregation. Professor Friedrich Bhaer – A middle-aged, philosophically inclined" and penniless German immigrant in New York City who had been a noted professor in Berlin. Also known as Fritz, he initially lives in Mrs. Kirke's boarding house and works as a language master. [21] 61 He and Jo become friends, and he critiques her writing. He encourages her to become a serious writer instead of writing sensational stories for weekly tabloids. "Bhaer has all the qualities Bronson Alcott lacked: warmth, intimacy, and a tender capacity for expressing his affection—the feminine attributes Alcott admired and hoped men could acquire in a rational, feminist world. 7] 210 They eventually marry and raise his two orphaned nephews, Franz and Emil, and their own sons, Rob and Teddy. [28] Robin and Theodore Bhaer ( Rob" and "Teddy" – Jo's and Fritz's sons, introduced in the final pages of the novel, named after the March girls' father and Laurie. John Brooke – During his employment as a tutor to Laurie, he falls in love with Meg. He accompanies Mrs. March to Washington D. C. when her husband is ill with pneumonia. When Laurie leaves for college, Brooke continues his employment with Mr. Laurence as a bookkeeper. When Aunt March overhears Meg rejecting John's declaration of love, she threatens Meg with disinheritance because she suspects that Brooke is only interested in Meg's future prospects. Eventually, Meg admits her feelings to Brooke, they defy Aunt March (who ends up accepting the marriage) and they are engaged. Brooke serves in the Union Army for a year and is sent home as an invalid when he is wounded. Brooke marries Meg a few years later when the war has ended and she has turned twenty. Brooke was modeled after John Bridge Pratt, her sister Anna's husband. [29] Margaret and John Laurence Brooke ( Daisy" and "Demijohn/Demi" – Meg's twin son and daughter. Daisy is named after both Meg and Marmee, while Demi is named for John and the Laurence family. Josephine Brooke ( Josy" or "Josie" – Meg's youngest child, named after Jo. She develops a passion for acting as she grows up. Uncle and Aunt Carrol – Sister and brother-in-law of Mr. They take Amy to Europe with them, where Uncle Carrol frequently tries to be like an English gentleman. Florence "Flo" Carrol – Amy's cousin, daughter of Aunt and Uncle Carrol, and companion in Europe. May and Mrs. Chester – A well-to-do family with whom the Marches are acquainted. May Chester is a girl about Amy's age, who is rich and jealous of Amy's popularity and talent. Miss Crocker – An old and poor spinster who likes to gossip and who has few friends. Mr. Dashwood – Publisher and editor of the Weekly Volcano. Mr. Davis – The schoolteacher at Amy's school. He punishes Amy for bringing pickled limes to school by striking her palm and making her stand on a platform in front of the class. She is withdrawn from the school by her mother. Estelle "Esther" Valnor – A French woman employed as a servant for Aunt March who befriends Amy. The Gardiners – Wealthy friends of Meg's. Daughter Sallie Gardiner later marries Ned Moffat. The Hummels – A poor German family consisting of a widowed mother and six children. Marmee and the girls help them by bringing food, firewood, blankets, and other comforts. They help with minor repairs to their small dwelling. Three of the children die of scarlet fever and Beth contracts the disease while caring for them. The eldest daughter, Lottchen "Lotty" Hummel, later works as a matron at Jo's school at Plumfield The Kings – A wealthy family with four children for whom Meg works as a governess. The Kirkes – Mrs. Kirke is a friend of Mrs. March's who runs a boarding house in New York. She employs Jo as governess to her two daughters, Kitty and Minnie. The Lambs – A well-off family with whom the Marches are acquainted. James Laurence – Laurie's grandfather and a wealthy neighbor of the Marches. Lonely in his mansion, and often at odds with his high-spirited grandson, he finds comfort in becoming a benefactor to the Marches. He protects the March sisters while their parents are away. He was a friend to Mrs. March's father, and admires their charitable works. He develops a special, tender friendship with Beth, who reminds him of his late granddaughter. He gives Beth the girl's piano. Theodore "Laurie" Laurence – A rich young man who lives opposite the Marches, older than Jo but younger than Meg. Laurie is the "boy next door" to the March family and has an overprotective paternal grandfather, Mr. Laurence. After eloping with an Italian pianist, Laurie's father was disowned by his parents. Both Laurie's mother and father died young, so as a boy Laurie was taken in by his grandfather. Preparing to enter Harvard, Laurie is being tutored by John Brooke. He is described as attractive and charming, with black eyes, brown skin, and curly black hair. He later falls in love with Amy and they marry; they have one child, a little girl named after Beth: Elizabeth "Bess" Laurence. Sometimes Jo calls Laurie "Teddy. Though Alcott did not make Laurie as multidimensional as the female characters, she partly based him on Ladislas Wisniewski, a young Polish émigré she had befriended, and Alf Whitman, a friend from Lawrence, Kansas. [4] 202 [6] 241 [24] 287 According to author and professor Jan Susina, the portrayal of Laurie is as "the fortunate outsider" observing Mrs. March and the March sisters. He agrees with Alcott that Laurie is not strongly developed as a character. [30] Elizabeth Laurence ( Bess" – The only daughter of Laurie and Amy, named for Beth. Like her mother, she develops a love for art as she grows up. Aunt Josephine March – Mr. March's aunt, a rich widow. Somewhat temperamental and prone to being judgmental, she disapproves of the family's poverty, their charitable work, and their general disregard for the more superficial aspects of society's ways. Her vociferous disapproval of Meg's impending engagement to the impoverished Mr. Brooke becomes the proverbial "last straw" that actually causes Meg to accept his proposal. She appears to be strict and cold, but deep down, she's really quite soft-hearted. She dies near the end of the first book, and Jo and Friedrich turn her estate into a school for boys. Annie Moffat – A fashionable and wealthy friend of Meg and Sallie Gardiner. Ned Moffat – Annie Moffat's brother, who marries Sallie Gardiner. Hannah Mullet – The March family maid and cook, their only servant. She is of Irish descent and very dear to the family. She is treated more like a member of the family than a servant. Miss Norton – A friendly, well-to-do tenant living in Mrs. Kirke's boarding house. She occasionally invites Jo to accompany her to lectures and concerts. Susie Perkins – A girl at Amy's school. The Scotts – Friends of Meg and John Brooke. John knows Mr. Scott from work. Tina – The young daughter of an employee of Mrs. Kirke. Tina loves Mr. Bhaer and treats him like a father. The Vaughans – English friends of Laurie's who come to visit him. Kate is the oldest of the Vaughan siblings, and prim and proper Grace is the youngest. The middle siblings, Fred and Frank, are twins; Frank is the younger twin. Fred Vaughan – A Harvard friend of Laurie's who, in Europe, courts Amy. Rivalry with the much richer Fred for Amy's love inspires the dissipated Laurie to pull himself together and become more worthy of her. Amy will eventually reject Fred, knowing she does not love him and deciding not to marry out of ambition. [31] Frank Vaughan – Fred's twin brother, mentioned a few times in the novel. When Fred and Amy are both traveling in Europe, Fred leaves because he hears his twin is ill. Inspiration [ edit] The attic at Fruitlands where Alcott lived and acted out plays at 11 years old. Note that the ceiling area is around 4 feet high For her books, Alcott was often inspired by familiar elements. The characters in Little Women are recognizably drawn from family members and friends. [3] 4] 202 Her married sister Anna was Meg, the family beauty. Lizzie, Alcott's beloved sister who died at the age of twenty-three, was the model for Beth, and May, Alcott's strong-willed sister, was portrayed as Amy, whose pretentious affectations cause her occasional downfalls. [4] 202 Alcott portrayed herself as Jo. Alcott readily corresponded with readers who addressed her as "Miss March" or "Jo" and she did not correct them. [32] 33] 31 However, Alcott's portrayal, even if inspired by her family, is an idealized one. For instance, Mr. March is portrayed as a hero of the American Civil War, a gainfully employed chaplain, and, presumably, a source of inspiration to the women of the family. He is absent for most of the novel. [33] 51 In contrast, Bronson Alcott was very present in his family's household, due in part to his inability to find steady work. While he espoused many of the educational principles touted by the March family, he was loud and dictatorial. His lack of financial independence was a source of humiliation to his wife and daughters. [33] 51 The March family is portrayed living in genteel penury, but the Alcott family, dependent on an improvident, impractical father, suffered real poverty and occasional hunger. [34] In addition to her own childhood and that of her sisters, scholars who have examined the diaries of Louisa Alcott's mother, Abigail Alcott, have surmised that Little Women was also heavily inspired by Abigail Alcott's own early life. [27] 6 Publication history [ edit] The first volume of Little Women was published in 1868 by Roberts Brothers. [35] The first printing of 2, 000 copies sold out quickly, and the company had trouble keeping up with demand for additional printings. They announced: The great literary hit of the season is undoubtedly Miss Alcott's Little Women, the orders for which continue to flow in upon us to such an extent as to make it impossible to answer them with promptness. 9] 37 The last line of Chapter 23 in the first volume is "So the curtain falls upon Meg, Jo, Beth, and Amy. Whether it ever rises again, depends upon the reception given the first act of the domestic drama called Little Women. 36] Alcott delivered the manuscript for the second volume on New Year's Day 1869, just three months after publication of part one. [10] 345 Versions in the late 20th and 21st centuries combine both portions into one book, under the title Little Women, with the later-written portion marked as Part 2, as this Bantam Classic paperback edition, initially published in 1983 typifies. [37] There are 23 chapters in Part 1 and 47 chapters in the complete book. Each chapter is numbered and has a title as well. Part 2, Chapter 24 opens with "In order that we may start afresh and go to Meg's wedding with free minds, it will be well to begin with a little gossip about the Marches. 36] Editions published in the 21st century may be the original text unaltered, the original text with illustrations, the original text annotated for the reader (explaining terms of 1868–69 that are less common now) the original text modernized and abridged, or the original text abridged. [38] The British influence, giving Part 2 its own title, Good Wives, has the book still published in two volumes, with Good Wives beginning three years after Little Women ends, especially in the UK and Canada, but also with some US editions. Some editions listed under Little Women appear to include both parts, especially in the audio book versions. [38] Editions are shown in continuous print from many publishers, as hardback, paperback, audio, and e-book versions, from the 1980s to 2015. [38] 39] This split of the two volumes also shows at Goodreads, which refers to the books as the Little Women series, including Little Women, Good Wives, Little Men and Jo's Boys. [40] Reception [ edit] G. K. Chesterton notes that in Little Women, Alcott "anticipated realism by twenty or thirty years" and that Fritz's proposal to Jo, and her acceptance, is one of the really human things in human literature. 41] Gregory S. Jackson said that Alcott's use of realism belongs to the American Protestant pedagogical tradition, which includes a range of religious literary traditions with which Alcott was familiar. He has copies in his book of nineteenth-century images of devotional children's guides which provide background for the game of "pilgrims progress" that Alcott uses in her plot of Book One. [42] Little Women was well received upon first publication. According to 21st-century critic Barbara Sicherman there was, during the 19th century, a "scarcity of models for nontraditional womanhood" which led more women to look toward "literature for self-authorization. This is especially true during adolescence. 8] 2 Little Women became "the paradigmatic text for young women of the era and one in which family literary culture is prominently featured. 8] 3 Adult elements of women's fiction in Little Women included "a change of heart necessary" for the female protagonist to evolve in the story. [7] 199 In the late 20th century some scholars criticized the novel. Sarah Elbert, for instance, wrote that Little Women was the beginning of "a decline in the radical power of women's fiction" partly because women's fiction was being idealized with a "hearth and home" children's story. [7] 197 Women's literature historians and juvenile fiction historians have agreed that Little Women was the beginning of this "downward spiral. But Elbert says that Little Women did not "belittle women's fiction" and that Alcott stayed true to her "Romantic birthright. 7] 198–199 Little Women' s popular audience was responsive to ideas of social change as they were shown "within the familiar construct of domesticity. 7] 220 While Alcott had been commissioned to "write a story for girls" her primary heroine, Jo March, became a favorite of many different women, including educated women writers through the 20th century. The girl story became a "new publishing category with a domestic focus that paralleled boys' adventure stories. 8] 3–4 One reason the novel was so popular was that it appealed to different classes of women along with those of different national backgrounds, at a time of high immigration to the United States. Through the March sisters, women could relate and dream where they may not have before. [8] 3–4 "Both the passion Little Women has engendered in diverse readers and its ability to survive its era and transcend its genre point to a text of unusual permeability. 8] 35 At the time, young girls perceived that marriage was their end goal. After the publication of the first volume, many girls wrote to Alcott asking her "who the little women marry. 8] 21 The unresolved ending added to the popularity of Little Women. Sicherman said that the unsatisfying ending worked to "keep the story alive" as if the reader might find it ended differently upon different readings. [8] 21 "Alcott particularly battled the conventional marriage plot in writing Little Women. 43] Alcott did not have Jo accept Laurie's hand in marriage; rather, when she arranged for Jo to marry, she portrayed an unconventional man as her husband. Alcott used Friedrich to "subvert adolescent romantic ideals" because he was much older and seemingly unsuited for Jo. [8] 21 (Jo is speculated by some to be aromantic, telling Laurie that she will not marry and later expressing that she will not love any man in the way she is expected to by her friends and family. In the 2019 movie adaptation Greta Gerwig makes it clear that Jo was not intended to marry. Other common speculations include that Jo is: Lesbian - Transgender. In 2003 Little Women was ranked number 18 in The Big Read, a survey of the British public by the BBC to determine the "Nation's Best-loved Novel" not children's novel) it is fourth-highest among novels published in the U. S. on that list. [44] Based on a 2007 online poll, the U. National Education Association named it one of "Teachers' Top 100 Books for Children. 45] In 2012 it was ranked number 48 among all-time children's novels in a survey published by School Library Journal, a monthly with primarily US audience. [46] Influence [ edit] Little Women has been one of the most widely read novels, noted by Stern from a 1927 report in the New York Times and cited in Little Women and the Feminist Imagination: Criticism, Controversy, Personal Essays. [47] Ruth MacDonald argued that "Louisa May Alcott stands as one of the great American practitioners of the girls' novel and the family story. 48] In the 1860s, gendered separation of children's fiction was a newer division in literature. This division signaled a beginning of polarization of gender roles as social constructs "as class stratification increased. 8] 18 Joy Kasson wrote, Alcott chronicled the coming of age of young girls, their struggles with issues such as selfishness and generosity, the nature of individual integrity, and, above all, the question of their place in the world around them. 49] Girls related to the March sisters in Little Women, along with following the lead of their heroines, by assimilating aspects of the story into their own lives. [8] 22 After reading Little Women, some women felt the need to "acquire new and more public identities" however dependent on other factors such as financial resources. [8] 55 While Little Women showed regular lives of American middle-class girls, it also "legitimized" their dreams to do something different and allowed them to consider the possibilities. [8] 36 More young women started writing stories that had adventurous plots and "stories of individual achievement—traditionally coded male—challenged women's socialization into domesticity. 8] 55 Little Women also influenced contemporary European immigrants to the United States who wanted to assimilate into middle-class culture. In the pages of Little Women, young and adolescent girls read the normalization of ambitious women. This provided an alternative to the previously normalized gender roles. [8] 35 Little Women repeatedly reinforced the importance of "individuality" and "female vocation. 8] 26 Little Women had "continued relevance of its subject" and "its longevity points as well to surprising continuities in gender norms from the 1860s at least through the 1960s. 8] 35 Those interested in domestic reform could look to the pages of Little Women to see how a "democratic household" would operate. [7] 276 While "Alcott never questioned the value of domesticity" she challenged the social constructs that made spinsters obscure and fringe members of society solely because they were not married. [7] 193 " Little Women indisputably enlarges the myth of American womanhood by insisting that the home and the women's sphere cherish individuality and thus produce young adults who can make their way in the world while preserving a critical distance from its social arrangements. As with all youth, the March girls had to grow up. These sisters, and in particular Jo, were apprehensive about adulthood because they were afraid that, by conforming to what society wanted, they would lose their special individuality. [7] 199 Alcott's Jo also made professional writing imaginable for generations of women. Writers as diverse as Maxine Hong Kingston, Margaret Atwood, and J. Rowling have noted the influence of Jo March on their artistic development. Even other fictional portraits of young women aspiring to authorship often reference Jo March. [50] Alcott "made women's rights integral to her stories, and above all to Little Women. 7] 193 Alcott's fiction became her "most important feminist contribution"—even considering all the effort Alcott made to help facilitate women's rights. 7] 193 She thought that "a democratic household could evolve into a feminist society. In Little Women, she imagined that just such an evolution might begin with Plumfield, a nineteenth century feminist utopia. [7] 194 Little Women has a timeless resonance which reflects Alcott's grasp of her historical framework in the 1860s. The novel's ideas do not intrude themselves upon the reader because the author is wholly in control of the implications of her imaginative structure. Sexual equality is the salvation of marriage and the family; democratic relationships make happy endings. This is the unifying imaginative frame of Little Women. [7] 276 Adaptations [ edit] Stage [ edit] Scene from the 1912 Broadway production of Little Women, adapted by Marian de Forest Katharine Cornell became a star in the 1919 London production of de Forest's adaptation of Little Women Marian de Forest adapted Little Women for the Broadway stage in 1912. [51] The 1919 London production made a star of Katharine Cornell, who played the role of Jo. [52] A one-act stage version, written by Gerald P. Murphy in 2009, 53] has been produced in the US, UK, Italy, Australia, Ireland, and Singapore. citation needed] Myriad Theatre & Film adapted the novel as a full-length play which was staged in London and Essex in 2011. [54] Marisha Chamberlain [55] 56] and June Lowery [57] have both adapted the novel as a full-length play; the latter play was staged in Luxembourg in 2014. Isabella Russell-Ides created two stage adaptations. Her Little Women featured an appearance by author, Louisa May Alcott. Jo & Louisa features a rousing confrontation between the unhappy character, Jo March, who wants rewrites from her author. [58] 59] A new adaptation by award-winning playwright Kate Hamill had its world premiere in 2018 at the Jungle Theater in Minneapolis, followed by a New York premiere in 2019 at Primary Stages directed by Sarna Lapine. [60] Film [ edit] Little Women has been adapted to film seven times. The first adaptation was a silent film directed by Alexander Butler and released in 1917, which starred Daisy Burrell as Amy, Mary Lincoln as Meg, Ruby Miller as Jo, and Muriel Myers as Beth. It is considered a lost film. Another silent film adaptation was released in 1918 and directed by Harley Knoles. It starred Isabel Lamon as Meg, Dorothy Bernard as Jo, Lillian Hall as Beth, and Florence Flinn as Amy. George Cukor directed the first sound adaptation of Little Women, starring Katharine Hepburn as Jo, Joan Bennett as Amy, Frances Dee as Meg, and Jean Parker as Beth. The film was released in 1933 and followed by an adaptation of Little Men the year after. The first color adaptation starred June Allyson as Jo, Margaret O'Brien as Beth, Elizabeth Taylor as Amy, and Janet Leigh as Meg. Directed by Mervyn LeRoy, it was released in 1949. Gillian Armstrong directed a 1994 adaptation, which starred Winona Ryder as Jo, Trini Alvarado as Meg, Samantha Mathis and Kirsten Dunst as Amy, and Claire Danes as Beth. [61] The film received three Academy Award nominations, including Best Actress for Ryder. A contemporary film adaptation [62] was released in 2018 to mark the 150th anniversary of the novel. [63] It was directed by Clare Niederpruem in her directorial debut and starred Sarah Davenport as Jo, Allie Jennings as Beth, Melanie Stone as Meg, and Elise Jones and Taylor Murphy as Amy. [63] A 2019 adaptation directed by Greta Gerwig starred Saoirse Ronan as Jo, Emma Watson as Meg, Florence Pugh as Amy, and Eliza Scanlen as Beth. [64] Television [ edit] Little Women was adapted into a television musical, in 1958, by composer Richard Adler for CBS. [65] Little Women has been made into a serial four times by the BBC: in 1950 (when it was shown live) in 1958, in 1970, 66] and in 2017. [67] The 3-episode 2017 series development was supported by PBS, and was aired as part of the PBS Masterpiece anthology in 2018. Universal Television produced a two-part miniseries based on the novel, which aired on NBC in 1978. It was followed by a 1979 series. In the 1980s, two anime series were made in Japan, Little Women in 1981 and Tales of Little Women in 1987. Both anime series were dubbed in English and shown on American television. In 2012, Lifetime aired The March Sisters at Christmas (directed by John Simpson) a contemporary television film focusing on the title characters' efforts to save their family home from being sold. [68] It is usually rebroadcast on the channel each holiday season. [69] A 2018 adaption is that of Manor Rama Pictures LLP of Karan Raj Kohli & Viraj Kapur which streams on the ALTBalaji app in India. The web series is called Haq Se. Set in Kashmir, the series is a modern-day Indian adaptation of the book. Musicals and opera [ edit] The novel was adapted to a musical of the same name and debuted on Broadway at the Virginia Theatre on January 23, 2005 and closed on May 22, 2005 after 137 performances. A production was also staged in Sydney, Australia in 2008. [70] The Houston Grand Opera commissioned and performed Little Women in 1998. The opera was aired on television by PBS in 2001 and has been staged by other opera companies since the premiere. [71] There is a Canadian musical version, with book by Nancy Early and music and lyrics by Jim Betts, which has been produced at several regional theatres in Canada. There was another musical version, entitled "Jo" with music by William Dyer and book and lyrics by Don Parks & William Dyer, which was produced off-Broadway at the Orpheum Theatre. It ran for 63 performances from February 12, 1964, to April 5, 1964. It featured Karin Wolfe (Jo) Susan Browning (Meg) Judith McCauley (Beth) April Shawhan (Amy) Don Stewart (Laurie) Joy Hodges (Marmee) Lowell Harris (John Brooke) and Mimi Randolph (Aunt March. Audio drama [ edit] A radio play starring Katharine Hepburn as Jo was made to accompany the 1933 film. Grand Audiobooks hold the current copyright. A dramatized version, produced by Focus on the Family Radio Theatre, 72] was released on September 4, 2012. See also [ edit] Hillside (later renamed The Wayside) the Alcott family home (1845–1848) and real-life setting for some of the book's scenes Orchard House, the Alcott family home (1858–1877) and site where the book was written; adjacent to The Wayside References [ edit] Longest, David (1998. Little Women of Orchard House: A Full-length Play. Dramatic Publishing. p. 115. ISBN   9780871298577. ^ Sparknotes: literature. Spark Educational Publishing. 2004. p. 465. ISBN   9781411400269. ^ a b Alberghene, Janice (1999. Alberghene, Janice M. and Clark, Beverly Lyon (eds. Autobiography and the Boundaries of Interpretation on Reading Little Women and the Living is Easy. Little Women and the Feminist Imagination: Criticism, Controversy, Personal Essays. Psychology Press. p. 355. ISBN   9780815320494. CS1 maint: uses editors parameter ( link) a b c d e f g Cheever, Susan (2011. Louisa May Alcott: A Personal Biography. Simon and Schuster. ISBN   978-1416569923. ^ Cullen Sizer, Lyde (2000. The Political Work of Northern Women Writers and the Civil War, 1850–1872. Univ of North Carolina Press. p. 45. ISBN   9780807860984. ^ a b Reisen, Harriet (2010. Louisa May Alcott: The Woman Behind Little Women. Macmillan. ISBN   9780312658878. ^ a b c d e f g h i j k l m n o p q r s t u Elbert, Sarah (1987. A Hunger for Home: Louisa May Alcott's Place in American Culture. New Brunswick: Rutgers University Press. ISBN   0-8135-1199-2. ^ a b c d e f g h i j k l m n o p q r Sicherman, Barbara (2010. Well Read Lives: How Books Inspired A Generation of American Women. Chapel Hill: The University of North Carolina Press. ISBN   978-0-8078-3308-7. ^ a b c d Author Madison, Charles A. (1974. Irving to Irving: Author-Publisher Relations 1800–1974. New York: R. R. Bowker Company. ISBN   0-8352-0772-2. ^ a b c Matteson, John (2007. Eden's Outcasts: The Story of Louisa May Alcott and Her Father. New York: W. W. Norton & Company. ISBN   978-0-393-33359-6. ^ Smith, David E. James, Edward T. (ed. "Notable American Women 1607–1950: A Biographical Dictionary, Volume 1. Notable American Women 1607–1950: A Biographical Dictionary, Volume 1. Harvard University Press: 29. ISBN   9780674627345. ^ Alcott, Louisa May (2010. Foreword. Little Women. Collins Classics. HarperCollins UK. p. vi. ISBN   9780007382644. ^ Hermeling, Ines (2010. The Image of Society and Women in Louisa May Alcott's "Little Women. GRIN Verlag. p. 8. ISBN   9783640591220. ^ Caspi, Jonathan (2010. Sibling Development: Implications for Mental Health Practitioners. Springer Publishing Company. p. 147. ISBN   9780826117533. ^ Alcott, Louisa May. Little Men. p. Chapter 2. Baby Josy had a flannel petticoat beautifully made by Sister Daisy ^ Alcott, Louisa May. Jo's Boys. p. Chapter 1. ^ Characters Margaret Meg March Meg the eldest sister is sixteen when the story. Retrieved 2018-11-07. ^ Alcott, Louisa (August 1, 2013. search of mentions of Jo March. Simon and Schuster. ^ Acocella, Joan (2018-08-20. How "Little Women" Got Big. ISSN   0028-792X. Retrieved 2019-02-25. ^ Louisa May Alcott: The Woman Behind Little Women, The Character of Jo March. American Masters. December 12, 2009. Retrieved August 4, 2018. ^ a b Keith, Lois (2001. Take Up Thy Bed and Walk: Death, Disability and Cure in Classic Fiction for Girls. Taylor & Francis. ISBN   9780415937405. ^ Apter, T. E. (2007. The Sister Knot: Why We Fight, why We're Jealous, and why We'll Love Each Other No Matter what. p. 137. ISBN   9780393060584. ^ Alcott, Louisa May (1880. Little Women: or, Meg, Jo, Beth and Amy. Cambridge, Massachusetts: John Wilson and Son. Retrieved 2010-05-31. ^ a b c Saxton, Martha (1977. Louisa May Alcott: A Modern Biography. Macmillan. ^ Alcott, Louisa May (1880. Little Women, or Meg, Jo, Beth and Amy. p. 213. Retrieved May 13, 2015. ^ Hollander, Anne (2000. Feeding the Eye. University of California Press. p. 233. ISBN   0520226593. ^ a b c LaPlante, Eve (2013. Marmee & Louisa: The Untold Story of Louisa May Alcott and Her Mother. ISBN   9781451620672. ^ Masse, Michelle (1999. Songs to Aging Children: Alcott's March Trilogy. In Alberghene, Janice M. p. 338. CS1 maint: uses editors parameter ( link) Alcott, Louisa (2000. The Portable Louisa May Alcott. Penguin. p. 1854. ISBN   9781101177044. ^ Susina, Jan (1999. Men and Little Women Notes of a Resisting (Male) Reader. pp. 161–70. CS1 maint: uses editors parameter ( link) Seelinger Trites, Roberta (2009. Journeys with Little Women. In Betsy Gould Hearne, Roberta Seelinger Trites (eds. A Narrative Compass: Stories that Guide Women's Lives. University of Illinois Press. p. 15. ISBN   0252076117. CS1 maint: uses editors parameter ( link) Sicherman, Barbara (1995. Reading Little Women: The Many lives of a Text. In Linda K. Kerber, Alice Kessler-Harris, Kathryn Kish Sklar (eds. U. History as Women's History: New Feminist Essays. University of North Carolina Press. p. 253. ISBN   9780807866863. CS1 maint: uses editors parameter ( link) a b c Keyser, Elizabeth Lennox (2000. Little Women: A Family Romance. University of Georgia Press. ISBN   9780820322803. ‘I am Jo, in the principal characteristics, not the good ones. ^ Alcott: Not The Little Woman You Thought She Was. NPR. December 28, 2009. Retrieved August 22, 2013. ^ Cheney, Ednah Dow, ed. (1889. Louisa May Alcott: Her Life, Letters, and Journals. Boston: Applewood Books. p. 190. ISBN   978-1-4290-4460-8. ^ a b Alcott, Louisa May (August 19, 2010) 1868. Little Women. ProjectGutenberg. Retrieved April 9, 2015. ^ Alcott, Louisa May (April 1, 1983) 1868. ISBN   978-0553212754. Retrieved March 27, 2015. ^ a b c Louisa May Alcott. "Little Women" Part 1 ed. Fantastic Fiction. Retrieved March 27, 2015. ^ Louisa May Alcott. "Good Wives (Little Women) 1869. Part 2 ed. "Little Women series. Goodreads. Retrieved March 27, 2015. ^ Chesterton, G. (1953. Louisa Alcott. A Handful of Authors. ^ Jackson, Gregory S. (2009. The Word and Its Witness: The Spiritualization of American Realism. Chicago: The University of Chicago Press. pp. 125–56. ISBN   978-0-226-39004-8. ^ Boyd, Anne E. (2004. Writing for Immortality: Women Writers and the Emergence of High Literary Culture in America. Baltimore: Johns Hopkins University Press. p. 72. ISBN   0-8018-7875-6. ^ BBC – The Big Read. BBC. April 2003. Retrieved December 12, 2013. ^ National Education Association (2007. Teachers' Top 100 Books for Children. Retrieved August 22, 2012. ^ Bird, Elizabeth (July 7, 2012. Top 100 Chapter Book Poll Results. School Library Journal "A Fuse No. 8 Production" blog. Retrieved August 22, 2012. ^ Alberghese, Janice M. and Clark, Beverly Lyon, eds. (1999. Little Women Leads Poll: Novel Rated Ahead of Bible for Influence on High School Pupils. p. xliv. CS1 maint: uses editors parameter ( link) MacDonald, Ruth M. (1983. Louisa May Alcott. Boston: Twayne Publishers. p.  95. ^ Alcott, Louisa May; Kasson, Joy S. (1994. Introduction. Work: A Story of Experience. New York: Penguin Books. p. ix. ISBN   014039091X. ^ Isaac, Megan Lynn (2018. A Character of One's Own: The Perils of Female Authorship in the Young Adult Novel from Alcott to Birdsall. Children's Literature. 46: 133–168 – via JSTOR. ^ Little Women. Internet Broadway Database. Retrieved December 28, 2018. ^ Cornell, Katharine (September 1938. I Wanted to Be an Actress. Stage. New York City: Stage Magazine Company, Inc. p. 13. Retrieved December 28, 2018. ^ Murphy, Gerald P. Lazy Bee Scripts. Retrieved July 27, 2015. ^ Stephens, Connie (Winter 2011. Myriad Theatre & Film, bringing the classics to life. London, UK. Retrieved 14 May 2016. ^ Little Women. Marisha Chamberlain. Retrieved 6 May 2016. ^ Chamberlain, Marisha. "Little Women (full length. Retrieved September 9, 2015. ^ Lowery, June (Fall 2014. Little Women (Les Quatre Filles du Docteur March. Berliner Grundtheater Group. Retrieved January 31, 2016. ^ Heimberg, Martha (2019-07-21. TheaterJones, FIT Review: Jo & Louisa, Festival of Independent Theatres. Retrieved 2019-09-26. ^ Jul 26; 2019, 1 (2019-07-26. Pitching another FIT. Dallas Voice. Retrieved 2019-09-26. ^ Little Women, 2019 Season. Retrieved 24 October 2019. ^ 1994. "Little Women (1994) by IMDB. Retrieved 2017-05-09. ^ Casting Call. Little Women, a modern adaptation. Retrieved February 14, 2017. ^ a b Busch, Anita (April 27, 2017. Lea Thompson To Star in New Feature Adaptation Of 'Little Women. Retrieved June 23, 2018. ^ Eldredge, Kristy (27 December 2019. Opinion, Men Are Dismissing 'Little Women. What a Surprise. The New York Times. Retrieved 27 December 2019. ^ Mercer, Charles (September 21, 1958. Beth Lives in TV musical of "Little Women. Chicago Tribune. Retrieved February 23, 2017. ^ Little Women (1970) on IMDb ^ Little Women (2017) on IMDb ^ The March Sisters at Christmas TV Show. Retrieved April 16, 2016. ^ The March Sisters at Christmas on IMDb ^ Morgan, Clare (November 11, 2008. Stakes are high for Kookaburra's sister act. The Sydney Morning Herald. Retrieved 3 December 2019. ^ Adamo, Mark (2007. Mark Adamo Online. Retrieved December 3, 2019. ^ Little Women (Audio Drama) by Focus on the Family Radio Theatre on iTunes. iTunes. Retrieved 2015-11-16. External links [ edit] Little Women at Project Gutenberg Lesson plans for Little Women at Web English Teacher "Top 100 Children's Novels #25. School Library Journal Blog. Retrieved 2012-05-20. 1945 radio adaptation of novel at Theatre Guild on the Air at the Internet Archive Little Women public domain audiobook at LibriVox Rudin, Shai (2019. The Hidden Feminist Agenda and Corresponding Edification in the Novel Little Women by Louisa May Alcott. Childhood, Vol. 3. pp. 115–132.

Little Women Movie streaming. Little Women Movie stream new albums. This cast is everything! Amazing young talent delivered by Greta Gerwig. Literally can't wait for this! The SAOIRSE 🎆. Little women movie streaming. Average rating 4. 07 1, 544, 385 ratings 24, 249 reviews, Start your review of Little Women Someone I know claimed this no longer has value, that she would never recommend it because it's saccharine, has a religious agenda, and sends a bad message to girls that they should all be little domestic homebodies. I say she's wrong on all counts. This is high on my reread list along with Pride and Prejudice, Jane Eyre, and a Tree Grows in Brooklyn- you could say that I'm pretty familiar with it. Let's see- there's a heroine who not only writes, but is proud of the fact and makes a profit from... Yes, yes! I AM a grown-ass man reading this, but I'm not ashamed. I also read the "Twilight" saga. a bunch of Charlaine Harris as well, remember? So. some rules simply do not apply. What I tried to do here was dispel the extra melodrama & embrace the cut-outs (fat trimmed out) of the Winona Ryder film. I was on the hunt for all the "new" ha. stuff that the regular person, well informed of the plot involving four young girls growing up (or in the case of Beth, not) never even knew... A new movie is coming out December 25th. I've never read it so I might have to do a readalong for it that month! “Don't try to make me grow up before my time…” The March sisters may be radically different but they all have one thing in common - love. Their love for their mother and father, their love for adventure and for each other unites them in this troubled time. The Civil War is afoot and all the sisters can do is think about their father away and in battle. Their mother tries to distract them but often she can barely distract herself. Jo, a radical tomboy and aspiring author - rallies her family... IM IN LOVE, IM IN LOVE, AND I DONT CARE WHO KNOWS IT! When I was a child, my mother used to drag me to antique stores all the time. There is nothing more boring to a kid than an antique store. It smelled like dust and old people, and everything looked the same (dark wood) and if we were in a particularly bauble-heavy shop I had to clasp my hands behind my back like a Von Trapp child in order to avoid invoking the you-break-it-you-buy-it policy on a 42 crystal ashtray. On one such excursion... This review has been hidden because it contains spoilers. To view it, click here. that feeling when you spend the majority of the book desperately longing to be a jo, but then end up realising youre actually just a beth…: also, the fact that i still like laurie, even after he messes around in france trying to “find himself, ” says a lot more about me than it does about him, to be fair. and dont even get me started on the new film coming out. the casting definitely has me feeling some kind of way. im still not over the precision of timothée chalamet as laurie, the literary... This book means SISTERHOOD. FAMILY… HAPPINESS…TOGETHERNESS… THANKFULNESS… GENUINENESS…SOLIDARITY…BELIEFS… RESPECT…UNCONDITIONAL LOVE…HONESTY…KINDNESS… This is magical book, when I get into my hands for the first time, I was only eleven and for decades I kept on getting it into my hands, reread it several times and same words resonated different for me, awoke different feelings, made me look at the characters flaws and differences at brand new perspective. Even though I know the ending: I... The book begins: Christmas won't be Christmas without any presents, grumbled Jo, lying on the rug. It's so dreadful to be poor! sighed Meg, looking down at her old dress. I don't think it's fair for some girls to have plenty of pretty things, and other girls nothing at all, added little Amy, with an injured sniff. We've got Father and Mother, and each other, said Beth contentedly from her corner. There's an undercurrent of anger in this book and I think Louisa May Alcott would have gone much... This classic that so many have loved over the years, many having read it as young girls, is somehow one that I never read until now. Its a lovely story, and I wonder how I would have felt about it, had I read it when I was younger. Like so many readers, Jo, the lover of books, the writer, is my favorite, a woman before her time, exhibiting independence and a desire for more in her life. Its a coming of age story in so many ways as we see Meg, Jo, Beth and Amy develop over the years, each... I have owned this book forever! I have the movie and have always loved it. Thanks to several group challenges on here, I have finally gotten to this little gem. Happy Reading! Mel... Never liked this one. I read Alcott back around the time I was first reading the Brontes and Dickens, and her books always struck me as incredibly dull in comparison. I was probably about 12, though, so I suppose I should try it again someday. 863. Little Women (Little Women #1) Louisa May Alcott Little Women is a novel by American author Louisa May Alcott (1832–1888) which was originally published in two volumes in 1868 and 1869. Alcott wrote the books over several months at the request of her publisher. Following the lives of the four March sisters—Meg, Jo, Beth and Amy—the novel details their passage from childhood to womanhood and is loosely based on the author and her three sisters. زنان کوچک - لوئییز می آلکوت (قدیانی) ادبیات سده... Relentlessly captivating story of sisters doing it for themselves. Alcott is a master of character, pacing, and creating page-turning suspense within a context of moderately low stakes. I admire everything about her, from her writing talent to her personal life as an abolitionist and feminist. Much of her personal advocacy makes it into the pages of Little Women. Sometimes in subtle ways, and sometimes not. I'm glad to see that the new movie appears to spotlight the feminist undertones because... I decided to re-read Little Women after watching the new film and am so glad that I did! I enjoyed this book when I first read it at 12, but truly LOVED it this time. The growth and progression of the sisters is wonderful, and the moral lessons infused in Alcott's writing make it a must-read children's classic. "I dont believe fine young ladies enjoy themselves a bit more than we do, in spite of our burnt hair, old gowns, one glove apiece, and tight slippers, that sprain our ankles when we are silly enough to wear them. – Jo March Whether you like this book or not, I doubt there are many that would deny that Jo March is the star of this mid-nineteenth century novel about the March family. In many ways, because of this remarkably self-assured heroine, Little Women seemed to me much ahead of its time... A timeless classic that I enjoyed just as much now as I did when I first read it at school. A wonderful book portraying a poor family in early and post civil war one. Each character is flawed and experiences a differing view of life. We watch them grow, leave home and die. Life without a father is regrettable and enthralling. Thoroughly enjoyable and educational. We learn through the eyes of the characters. Choices are not easy, regret is ever present. Vocabulary intensively studied gives the reader a view of the times. The times are of course difficult. This is perfection in a classic... To me this book is just a big neon highlighted literary exclamation mark defining how incredibly different I am from my mother. She loves this book. Really, really loves it. a lot. She always used to tell me how great she thought it was although, as a kid I somehow avoided reading it; mainly because at this point I was too busy dangling from a climbing frame by my ankles or stealing scrap wood from building sites in order to make dens and tree houses. As it is prominently placed on the 1001... My copy of this is probably 55 years old. I've probably read it at least twenty-five times. One of my all-time favorite books. One of my favorite authors ever. Yes, it is old-fashioned. it was old-fashioned fifty-five years ago. But that is the point pretty much in my opinion. This is a story of times past, of a family which functioned in a particular way in a particular time. This is also a story of what one person in a family might have wished were so all of the time in the family but... 2017 update: I reread this as it was the Austentatious book for June and July! I didn't love it as much as I did the first time I read it, but I am glad I got to revisit the story. (Also, this time I Amy was my favorite character. Book 12/100 for 2015 I had to read this book for my Children's Lit class and I loved it! We've done a lot of discussion which has really opened my mind to new things in the book and made me love it even more. I'd definitely recommend this book to anyone wanting to get... i've never witnessed a ship of mine get sunk so tragically, how dare you ms. alcott (ง •_•)ง RTC. probably the first classic that i'm / choosing/ to read so let's hope this goes well bc it'll probs determine whether i keep this charade up or not. Buddy read with ma girl, t swizzle... "Christmas won't be Christmas without any presents" grumbled Jo. I was under the impression that I had missed Little Women in my youth and that it was one of those gaps in my education that keep nagging me. Then I started reading it, and realised that I know all characters, and the story, and the feeling of the novel as a whole. So either I have developed a psychic connection to my "to-read" shelf, or I have actually NOT missed out on Little Women in my adolescence, just forgotten the... I have read 18 of Louisa May Alcott's books, so I guess I can safely say that I am very familiar with her work. Some of them were very good, some not quite as good. All had that 19th century down home feeling with wonderful, memorable characters. But only one of her novels reached the level of what could be called literary greatness. Somehow, with this simple story, and these adorable characters, with a heart warming and heart wrenching plot, Alcott creates an American classic, her masterpiece... i can tell this become my favorite classic book besides all classics books of the queen of classics books Jane Austin, and u can see a lot of classic word here:D Read as part of The Infinite Variety Reading Challenge, based on the BBC's Big Read Poll of 2003. The one thing I'm not going to do is apologise for not liking this. I hold no truck with that: stop apologising for having an opinion that is different to the majority. Little Women was relatively written well in the grammatically correct sense, but I found it to be a very slow and dull read. It is definitely of its time and even though there are small points of seeing the necessity of having strong... I'm definitely a victim of modern society when I find this book slow. Had I read it in its day (or even as a youth) it would probably be fantastic, but as it is I'm finding the life lessons saturated in every chapter a little much, not sweet. Which brings me to Beth. Back in the day sweet, mild, submissive were prime female qualities. Now I look at the picture of her on the front cover with her empty eyes and blank stares and she looks sweet in a mentally challenged way. And Jo who is endearing... Look, I'm going to be brutally honest here: I read this when I was about 10 and I quite enjoyed it. But reading it at the age of 33? OH MY GOD, THIS WAS THE MOST SACCHARINE SWEET, INTOLERABLE TWADDLE I'VE EVER HAD THE MISFORTUNE OF READING. All four of the girls are so ridiculously perfect that even when they make the tiny little mistakes that are painted as monumental fuck ups in the book, they're instantly fixed with a sweet smile or a sermon from their mother about women needing to control... When I was 11 years old, I used to watch its anime show on Sony, that time I didn't know its name, I was merely interested in the show. Thankfully, I remembered the names of the characters so that when I went to higher secondary school, I saw this book in school library with the picture of four girls and their Mommy. I suddenly remembered the show. Since that day I wanted to read Little Women. When the librarian said that this book cannot be issued, I wasn't worried. I would to go to library and...

Jos goal is not to be traditional like other characters. Otherwise, in the end she finds someone wiser than her thats why she accepts the idea of marriage. Little women movie stream. Little Women Movie stream.nbcolympics. Vorführungen Trailer Besetzung & Stab User-Kritiken Pressekritiken FILMSTARTS-Kritik Bilder VoD Zum Trailer Vorführungen (196) User-Wertung 3, 3 10 Wertungen - 3 Kritiken Bewerte: 0. 5 1 1. 5 2 2. 5 3 3. 5 4 4. 5 5 Möchte ich sehen Kritik schreiben Inhaltsangabe & Details FSK ab 0 freigegeben Die vier March-Schwestern Jo (Saoirse Ronan) Meg (Emma Watson) Amy (Florence Pugh) und Beth (Eliza Scanlen) wachsen Mitte des 19. Jahrhunderts in der von starren Geschlechterrollen dominierten Gesellschaft der Vereinigten Staaten auf. Ihr Vater dient im Bürgerkrieg, ihre Mutter (Laura Dern) kümmert sich um die Familie, arbeitet und hilft im Dorf wo sie kann. Je älter die vier Schwestern werden, desto deutlicher erkennen sie, welche Hindernisse ihnen bei ihrer Selbstbehauptung als Frauen in den Weg gelegt werden. Gleichzeitig wird ihnen dadurch aber auch klar, wie sehr sie sich letzten Endes doch unterscheiden. Während die stolze Jo etwa Schriftstellerin werden will und das gesellschaftliche Rollendiktat als Gemahlin und Mutter ablehnt, folgt Meg ihrem Herzen in die Ehe. Amy hingegen will ihre Einzigartigkeit durch die Malerei ausdrücken und studiert in Frankreich. Männer interessieren die vier Frauen weniger. Lediglich der Nachbarsjunge Laurie (Timothée Chalamet) der sich in Jo und die Familie March verliebt, findet schnell einen Platz bei den Marchs. Verleiher Sony Pictures Germany Weitere Details Hier im Kino Kritik der FILMSTARTS-Redaktion Bei der Ankündigung, dass Greta Gerwig nach ihrem fünffach oscarnominierten Indie-Megahit „Lady Bird“ als nächstes eine Neuverfilmung von Louisa May Alcotts Kinderbuchklassiker „Little Women“ aus dem Jahr 1869 (deutscher Titel: „Betty und ihre Schwestern“) angehen wird, haben erst einmal alle Alarmglocken geschrillt: Schließlich haben wir schon oft genug mit ansehen müssen, wie sich Filmemacher, denen mit einem solch persönlichen Stoff wie eben „Lady Bird“ der Durchbruch gelang, anschließend einem prestigeträchtigen Stoff der Weltliteratur zuwenden, nur um darüber ihre persönliche Handschrift einzubüßen und stattdessen etwas weitestgehend Belangloses abzuliefern. Zuletzt ist das etwa John Crowley so ergangen, der nach dem dreifach oscarnominierten „Brooklyn“ mit dem überambitionierten „Der Distelfink“ kreativen und finanziellen Schiffbruch erlitt. Aber alle Sorgen waren umsonst! Nach de... Die ganze Kritik lesen Interview, Making-Of oder Ausschnitt 22:37 Alle 4 Videos Das könnte dich auch interessieren Schauspielerinnen und Schauspieler Komplette Besetzung und vollständiger Stab Der Film erinnerte mich sehr stark an meine Kino-Tortur von "Biss zum Morgengrauen. Da habe ich auch verwundert im Kinosessel gesessen und habe auf den nie kommenden Spannungsbogen gewartet. Mag ja sein, dass besonders Frauen diesen Film lieben. Ich habe mich als Mann völlig deplatziert gefühlt (auch wenn dies ultra geschlechterklischeehaft ist - ich weiß. Es geht gefühlt zu 3/4 des Films ums Heiraten, wer-liebt-wen, und Frauenkleider. Ich... Mehr erfahren "Little Women" von Greta Gerwig ist eine wunderbare Literaturverfilmung mit glänzend aufgelegten Schauspieler*innen. Es macht Spaß und geht ans Herz, den vier March-Schwestern dabei zuzusehen, wie sie versuchen, ihren Weg in einer Gesellschaft zu finden, in der Individualität bei Frauen verpönt ist. Frauen heiraten oder sterben und sind ansonsten nicht von Interesse. Ihr eigenes Ding machen können sie nur, wenn sie reich sind. Die... Greta Gerwig‘s Film „Little Women“ erzählt nach eigenem Drehbuch den Werdegang der vier Schwestern Meg (Emma Watson) Jo (Saoirse Ronan) Beth (Eliza Scanlen) und Amy (Florence Pugh) im Nordosten der USA Mitte des 19. Jahrhunderts. Als Vorlage diente ein 1868 und 1869 erschienener zweiteiliger Roman von Louisa May Alcott (1868/1869) der schon mehrmals mit großen Stars auf die Leinwand gebracht wurde. Welch eine heile Familienwelt. Die... 3 User-Kritiken 56 Bilder Wissenswertes Emma ersetzt Emma Ursprünglich sollte Emma Stone eine der Hauptrollen spielen. Da diese aber aufgrund der sich mit den Dreharbeiten überschneidenden Promo-Tour zu „The Favourite“ keine Zeit hatte, musste sie aussteigen. Sie wurde dann durch Emma Watson ersetzt. Aktuelles 13 Nachrichten und Specials Ähnliche Filme Weitere ähnliche Filme Kommentare.

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Free pickup line for Saoirse : „U are the only vowel missing from my name.“. Little Women Movie streams. I wish that Alcott, who choose not to marry herself, hadn't been pressured into marrying off Jo at all, marriage at that time certainly meant, for almost all women, giving up any autonomy that they had and any profession that might have acquired, childbirth for most women absorbed all their time, and could be endless with 10 children or more being normal, and it is no co-incident that the enduring female writers from the 19thc like Alcott and Jane Austen never married, and even George Eliot who had 2 husbands- had no children.

Little women film streaming. When Christian Bale says marry me you marry him loml. Little Women Movie stream. Saw this movie last night, it was SO AMAZING! All the actors were great! Cant wait to own it. Florence nailed this. The first Christmas movie that Im exited for. “i would just want to hug her” i love her 😭😭😭. Little Women was an outstanding movie. It was very close to the book and the cartoon movie. My entire family and I loved it. Great performance.

This has nothing to do with Little Women. It is a work of pure 21st century narcissism. Jo and the rest of them have never been this self-absorbed. It's as if their social media-like sisterhood is for power grasping, presented as the only motive of their lives. There is a feeling of high stakes across it like it's Marvel's Little Women, completely wrong for the tone. Rather it's 'Little' is an ironic sense of their bigness. I sense power seems to be the only frame through which Gerwig could understand it. 1994's was champ so much I kept anticipating its moments and images instead. Winona played Jo without this frame of self-obsession, she was completely her; of course, Gen X was sincere in their rebellion so could approximate sincerity via the same breath. Whereas neither sincerity nor rebellion describes 2019, and what does is the key to read the piece. Because this is our bizarre postmodern Little Women, an act of pure political sycophancy. Occasionally, there are windows into the piece we expected only for it to pull back with some intellectual frame. Inexperienced directors do not realize a very small calibration in subversion will read in an enormous and glaring way. You don't hijack the authors work, you grasp, articulate, embody the prose in the craft and create the definitive one. You honor it. And Greta is no Alcott to be rivaling her in authorship; just the ego alone is screaming off the screen. And I admire Gerwig as a performer, a millennial icon she perfectly encapsulated our failures, while here is a film about the ugly undercurrent of whimsy, this vicious west coast ladder climbing. Did GG not realize it was never about her intellect, but that her irresponsibility was what resonated? Her inability to integrate, her whimsy, her hopelessness. Not her 'grand design' Not her mastery. She came up because she made funny animal noises in mumblecore. From Streep to Dern, to Watson, to Ronan, they're all wrong. Saoirse doesn't seem to even be of this family, she's playing Jo as the godhead of the twitterverse. Emma is 35. Chalamet, the more he tries to arrive at human the less he feels like one. (Hollywood betting all chips in on him and Pattinson show a weird insulation of a humanity we wish were the case instead of is.) Disney's Little Women- how is this not Disney again? It's the very playbook. How about the Little Women last year adapted for modern day, there was a sincerity to being so bald-faced that you have to respect (generally you have no choice but to respect the one who brought you to gunpoint. BBC's Little Women. Three in three years is pushing franchises outright. We need Little Women in 2020, and the solo spin-off, Jo, in 2021. In 2022 we should also have Little Women. Have we had the exercise yet where three different directors tackle the same story as an experiment in personal voice, so we should have three more Little Women released concurrently in 2023. Understand it's entirely another phenomenon from the franchise where we get the 'exact' same movie every year with variations, and even Disney could not devise such ingenious evils. When here is upending society, tearing down statues, as with '94 irony used to find the sincere, to today's continuum of uprooting making this merely a reflection of the brutal revolutionary act. I didn't hate it, it killed me every scene. You cannot have a reaction of hate after you're already dead.

Se ve muy buena la película la quiero ver 👍🏻. Nominated for 6 Oscars. Another 58 wins & 172 nominations. See more awards  » Learn more More Like This Comedy, Drama War 1 2 3 4 5 7 8 9 10 8 / 10 X A young boy in Hitler's army finds out his mother is hiding a Jewish girl in their home. Director: Taika Waititi Stars: Roman Griffin Davis, Thomasin McKenzie, Scarlett Johansson Biography 6. 8 / 10 A group of women take on Fox News head Roger Ailes and the toxic atmosphere he presided over at the network. Jay Roach Charlize Theron, Nicole Kidman, Margot Robbie Crime A detective investigates the death of a patriarch of an eccentric, combative family. Rian Johnson Daniel Craig, Chris Evans, Ana de Armas Romance 8. 1 / 10 Noah Baumbach's incisive and compassionate look at a marriage breaking up and a family staying together. Noah Baumbach Adam Driver, Scarlett Johansson, Julia Greer 8. 5 / 10 April 6th 1917. As a regiment assembles to wage war deep in enemy territory, two soldiers are assigned to race against time and deliver a message, that will stop 1, 600 men, from walking straight into a deadly trap. Sam Mendes Dean-Charles Chapman, George MacKay, Daniel Mays 7. 7 / 10 A faded television actor and his stunt double strive to achieve fame and success in the film industry during the final years of Hollywood's Golden Age in 1969 Los Angeles. Quentin Tarantino Leonardo DiCaprio, Brad Pitt, Action Adventure Fantasy 6. 9 / 10 The surviving members of the resistance face the First Order once again, and the legendary conflict between the Jedi and the Sith reaches its peak bringing the Skywalker saga to its end. J. J. Abrams Carrie Fisher, Mark Hamill, Adam Driver 8. 6 / 10 All unemployed, Ki-taek and his family take peculiar interest in the wealthy and glamorous Parks, as they ingratiate themselves into their lives and get entangled in an unexpected incident. Bong Joon Ho Kang-ho Song, Sun-kyun Lee, Yeo-jeong Jo 7. 6 / 10 Based on the true story of a real-life friendship between Fred Rogers and journalist Tom Junod. Marielle Heller Tom Hanks, Matthew Rhys, Chris Cooper Martin Scorsese Robert De Niro, Al Pacino, Joe Pesci 7 / 10 Legendary performer Judy Garland (Renée Zellweger) arrives in London in the winter of 1968 to perform a series of sold-out concerts. Rupert Goold Renée Zellweger, Jessie Buckley, Finn Wittrock 7. 5 / 10 American security guard Richard Jewell saves thousands of lives from an exploding bomb at the 1996 Olympics, but is vilified by journalists and the press who falsely reported that he was a terrorist. Clint Eastwood Paul Walter Hauser, Sam Rockwell, Brandon Stanley Edit Storyline Jo March reflects back and forth on her life, telling the beloved story of the March sisters - four young women each determined to live life on their own terms. Plot Summary Add Synopsis Details Release Date: 25 December 2019 (USA) See more  » Also Known As: Little Women Box Office Budget: 40, 000, 000 (estimated) Opening Weekend USA: 16, 755, 310, 29 December 2019 Cumulative Worldwide Gross: 162, 870, 632 See more on IMDbPro  » Company Credits Technical Specs See full technical specs  » Did You Know? Goofs One of the characters uses the term "marry rich" which did not exist in 1864. The term used would have been "marry well. which appears several times in Alcott's text. See more » Quotes Beth March: Is there any news? What does she say? Jo March: She writes that Laurie is there. I'm glad he's with her, he won't respond to any of my letters. Do you miss him? Tearing up] I miss everything. I know. See more » Crazy Credits The original 1993-2006 version of the current Columbia Pictures logo appears at the beginning, paying homage to the studio's previous 1994 film adaptation of the story, which starred Winona Ryder as Jo March. See more » Soundtracks Waltz in A flat major, Op. 39, No. 15 Written by Johannes Brahms Arranged by Colin Fowler See more ».

VER EN:✔️ ➽. 28:37 ngl that had me dead.

 

She's going to be the meryl of this generation. What an amazing underrated actress. Little Women Movie stream new. 13:10 girl you literally made elenas entire bachelorette party about you when you shared ur news that you and Matt were married so dont be a hypocrite. Buon adattamento e molto ben recitato. La meravigliosa storia ha preso vita. Dramma storico molto visivo e divertente. Non c'è niente da non amare anche se non hai letto il libro. Stream little women movie 2019. Stream little women movie 2018. Man ohh man the more I see these scenes the more my blood boil thinking how I was ROBBED of a Christmas day release and I STILL HAVEN'T WATCHED THE WHOLE MOVIE IN A THEATRE AND CANT PROLLY UNTIL FEB 7. He was simply brilliant in The kid is going places.

Nominated for 3 Oscars. Another 6 wins & 17 nominations. See more awards  » Videos Learn more More Like This Biography, Drama Family 1 2 4 5 6 7 8 9 10 8 / 10 X A woman leaves an Austrian convent to become a governess to the children of a Naval officer widower. Director: Robert Wise Stars: Julie Andrews, Christopher Plummer, Eleanor Parker Romance 7. 3 / 10 A group of sisters experience life's difficulties and its pleasures while growing up in nineteenth-century America. Mervyn LeRoy June Allyson, Peter Lawford, Margaret O'Brien 7. 2 / 10 A chronicle of the lives of a group of sisters growing up in nineteenth-century America. George Cukor Katharine Hepburn, Joan Bennett, Paul Lukas Animation Adventure Comedy 6. 5 / 10 Continuing the story of Max and his pet friends, following their secret lives after their owners leave them for work or school each day. Directors: Chris Renaud, Jonathan del Val Patton Oswalt, Kevin Hart, Harrison Ford Fantasy A young, recently-orphaned girl is sent to England after living in India all of her life. Once there, she begins to explore her new, seemingly-isolated surroundings, and its secrets. Agnieszka Holland Kate Maberly, Maggie Smith, Heydon Prowse 7. 7 / 10 A young girl is relegated to servitude at a boarding school when her father goes missing and is presumed dead. Alfonso Cuarón Liesel Matthews, Eleanor Bron, Liam Cunningham Anna, Elsa, Kristoff, Olaf and Sven leave Arendelle to travel to an ancient, autumn-bound forest of an enchanted land. They set out to find the origin of Elsa's powers in order to save their kingdom. Chris Buck, Jennifer Lee Kristen Bell, Idina Menzel, Josh Gad 7. 8 / 10 In turn of the century London, a magical nanny employs music and adventure to help two neglected children become closer to their father. Robert Stevenson Dick Van Dyke, David Tomlinson History 7 / 10 A musical based on the New York City newsboy strike of 1899. When young newspaper sellers are exploited beyond reason by their bosses they set out to enact change and are met by the ruthlessness of big business. Kenny Ortega Christian Bale, Bill Pullman, Robert Duvall Action 6. 8 / 10 When the world's best spy is turned into a pigeon, he must rely on his nerdy tech officer to save the world. Nick Bruno, Troy Quane Rachel Brosnahan, Jarrett Bruno, Claire Crosby The Darling family children receive a visit from Peter Pan, who takes them to Never Never Land where an ongoing war with the evil Pirate Captain Hook is taking place. P. J. Hogan Jeremy Sumpter, Jason Isaacs, Olivia Williams 8. 4 / 10 Anne Shirley accepts a teaching position at a girls boarding school in a town dominated by a rich and belligerant family determined to make her life miserable. Megan Follows, Colleen Dewhurst, Marilyn Lightstone Edit Storyline Louisa May Alcott 's autobiographical account of her life with her three sisters in Concord, Massachusetts in the 1860s. With their father fighting in the American Civil War, sisters Jo, Meg, Amy and Beth are at home with their mother, a very outspoken women for her time. The story tells of how the sisters grow up, find love and find their place in the world. Plot Summary Plot Synopsis Taglines: The story that has Lived in our hearts For generations, Now comes to the screen For the holidays See more  » Details Release Date: 25 December 1994 (USA) Also Known As: Little Women Box Office Budget: 18, 000, 000 (estimated) Opening Weekend USA: 2, 411, 247, 25 December 1994 Cumulative Worldwide Gross: 50, 083, 616 See more on IMDbPro  » Company Credits Technical Specs See full technical specs  » Did You Know? Trivia In the scene where Amy is reading to Aunt March from the Bible, the passage is Leviticus chapter 21, verse 23 through chapter 22, verse 1. See more » Goofs The lyrics the family sings at Christmas to "Deck the Halls" were not written until 1903, almost 40 years after the timeframe shown. See more » Quotes Jo: I don't have an opera dress. Friedrich Bhaer: Where we are sitting, we shall not be so. formal. See more » Soundtracks Here We Come A-Wassailing Traditional See more » Frequently Asked Questions See more ».

Little Women Movie stream online. Little Women Movie. Can you please upload the scene where Laurie proposes to Jo. She was so forward, asking for the tea outright. And then they give her tea and it doesn't even have any milk in it! Note to Colbert show people: if you're gonna give an Irish woman tea, make sure it has milk in it. I never liked the ending of Amy and Laurie, because she was always a sister-figure to him like all the March sisters were. If Jo hadn't gotten married with Laurie marrying outside of the March family, I would have loved the story even more. If I had it my way, I still would like Jo and Laurie to end up together, or at least with someone different.

Thanks. Laura Dern looks absolutely gorgeous here. Little Women Theatrical release poster Directed by Greta Gerwig Produced by Amy Pascal Denise Di Novi Robin Swicord Screenplay by Greta Gerwig Based on Little Women by Louisa May Alcott Starring Saoirse Ronan Emma Watson Florence Pugh Eliza Scanlen Laura Dern Timothée Chalamet Meryl Streep Tracy Letts Bob Odenkirk James Norton Louis Garrel Chris Cooper Music by Alexandre Desplat Cinematography Yorick Le Saux Edited by Nick Houy Production company Columbia Pictures Regency Enterprises Pascal Pictures Distributed by Sony Pictures Releasing Release date December 7, 2019 ( MoMA) December 25, 2019 (United States) Running time 135 minutes [1] Country United States Language English Budget 40 million [2] Box office 162. 9 million [3] 4] Little Women is a 2019 American coming-of-age period drama film written and directed by Greta Gerwig. It is the seventh film adaptation of the 1868 novel of the same name by Louisa May Alcott. The film stars Saoirse Ronan, Emma Watson, Florence Pugh, Eliza Scanlen, Laura Dern, Timothée Chalamet, Tracy Letts, Bob Odenkirk, James Norton, Louis Garrel, Chris Cooper, and Meryl Streep. Little Women had its world premiere at the Museum of Modern Art in New York City on December 7, 2019, and was released theatrically in the United States on December 25, 2019, by Sony Pictures Releasing. The film received critical acclaim, and has grossed over 162 million worldwide. At the 92nd Academy Awards, it received six nominations, including Best Picture, Best Actress (Ronan) Best Supporting Actress (Pugh) and Best Adapted Screenplay. [5] It also received nominations for five British Academy Film Awards and two Golden Globe Awards. Plot [ edit] In 1868, Jo is a teacher in New York City. She goes to an editor, Mr. Dashwood, and gets a story published subject to considerable editing. Her sister Amy, in Paris with their Aunt March, sees childhood friend Laurie and invites him to a party. At the party, she is angry at his drunken behavior and he mocks her for spending time with rich businessman, Fred Vaughn. In New York, Jo meets with Friedrich Bhaer, a professor infatuated with her, and he constructively criticizes her work. Jo takes it personally and breaks their friendship off. Afterward, Jo gets a letter saying that her younger sister Beth has gotten sicker so she returns home. In 1861 in Concord, Massachusetts, Jo and her older sister Meg go to a party where Jo meets Laurie, the grandson of their neighbour Mr. Laurence. On Christmas morning, their mother "Marmee" persuades the girls to give their breakfast to their poor neighbour, Mrs. Hummel and her group of starving young children. Upon returning home, the girls see their table full of food, provided by Mr. Laurence, and a letter from their father fighting in the American Civil War. Jo visits their Aunt March, who invites Jo to Europe with her. During his Latin lesson, Laurie notices Amy standing outside, having been hit by her teacher for misbehaving in class, and invites her in before her family comes to take her home. When Meg, Jo, Laurie and John, Laurie's tutor and Meg's eventual husband, go out one night to the theatre, an angry and jealous Amy burns Jo's writings, upsetting Jo. Amy attempts to apologize but to no avail. The next morning Amy, wanting to make up with Jo, chases her onto a lake where Jo and Laurie are skating. The two skate over to save Amy when the ice breaks underneath her. That night, Jo expresses guilt over what happened to Amy. Mr. Laurence invites Beth to play the piano in his house, as she reminds him of his dead daughter. In the present, Laurie visits Amy to apologize for his behavior at the party. Later, he urges Amy not to marry Fred Vaughn, but to marry him instead. Amy is upset at being second for everything to Jo, including Laurie. Amy later turns down Fred's proposal only to learn that Laurie left for London. In the past, Marmee, the mother of the girls, is informed that their father is ill from the war. While Marmee is visiting their father, Beth is given the piano from Mr. Laurence, but contracts scarlet fever. Amy, who has not had the disease before, is sent to Aunt March. Marmee comes home early when Beth gets worse, but she recovers in time for Christmas, with their father returning home. However, in the present, Beth's condition later worsens and she soon dies. On Meg's wedding day Jo tries to convince her to run away, but Meg tells her she is happy getting married. Aunt March announces her trip to Europe, but decides to take Amy instead of Jo. After the wedding, Laurie admits his feelings for Jo, but she insists she does not feel the same way. In the present Marmee reveals a devastated Amy was returning home with a sick Aunt March. Jo wonders whether she was too quick in turning Laurie down and writes him a letter. On their way back, Amy tells Laurie she turned down Fred's proposal. The two kiss and later marry on the journey home. Returning home, Laurie catches up with Jo and they agree to just be friends. Outside, Jo throws away the letter she wrote for Laurie. The next day, Jo begins writing a novel based on the lives of her and her sisters. She sends the first chapters to Mr. Dashwood, who is unimpressed. Bhaer turns up at the March house on his way to California to teach. In New York, Mr. Dashwood's daughters find the chapters of Jo's book and ask how it ends. He agrees to publish the book, but finds it unacceptable that the main character was unmarried. Jo amends her ending so that the main character, herself, chases after Bhaer and stops him from going to California. She negotiates copyright and royalties with Mr. Dashwood. Later, Jo has inherited Aunt March's house and opened it as a school. Meg teaches acting and Amy teaches art to the schoolchildren. Bhaer is also shown teaching children at the school. Jo observes as printers print her book, titled Little Women. Cast [ edit] Production [ edit] Development [ edit] In October 2013, it was announced a new film adaption of Little Women was in development at Sony Pictures with Olivia Milch writing the script, and Robin Swicord and Denise Di Novi serving as producers. [6] In March 2015, Amy Pascal began developing the new adaptation, with Sarah Polley hired to write the script and potentially direct. [7] Despite reports, Polley's involvement never went beyond initial discussions. [8] In August 2016, Greta Gerwig was hired to write the script. [9] In June 2018, in light of her awards season success with Lady Bird, Gerwig was brought on as director. [10] 11] Casting [ edit] In June 2018, it was announced that Meryl Streep, Emma Stone, Saoirse Ronan, Timothée Chalamet, and Florence Pugh had been cast for the film in undisclosed roles. [10] 11] In July 2018, Eliza Scanlen joined the cast. [12] In August 2018, James Norton and Laura Dern joined the cast. [13] 14] Then in the same month, Stone dropped out of the film due to scheduling conflicts with the press tour for The Favourite and Emma Watson was cast to replace her. [15] In September 2018, Louis Garrel, Bob Odenkirk and Chris Cooper joined the cast. [16] 17] 18] In October 2018, New Regency Pictures was announced as an additional financier on the film, and Abby Quinn joined the cast. [19] 20] Filming [ edit] Principal photography began on October 5, 2018, in Boston, Massachusetts. [21] Additional filming locations included Lancaster, Harvard and Concord, Massachusetts. [22] The Arnold Arboretum was used as a location to shoot a scene set in a 19th-century Paris park. [23] Filming wrapped up on December 15, 2018. [24] 25] Saoirse Ronan stated that, as previously done with Lady Bird, Gerwig banned cellphones on the set. [26] Music [ edit] On April 8, 2019, it was announced that Alexandre Desplat had been hired to compose the film's score. [27] Release [ edit] Little Women had its world premiere at the Museum of Modern Art in New York City on December 7, 2019. [28] It also screened as the opening film of the Rio de Janeiro International Film Festival on December 9, 2019, 29] and was theatrically released in the United States on December 25, 2019 by Sony Pictures Releasing. [30] 31] Marketing [ edit] On December 13, 2018, Emma Watson posted a set photo on social media of her along with the writer-director of the film Greta Gerwig and co-stars Saoirse Ronan, Florence Pugh, Eliza Scanlen, and Timothée Chalamet. [32] Six days later, Watson posted another set photo of her along with Gerwig and co-star Laura Dern. [33] On June 19, 2019, Vanity Fair released the first stills from the film. [34] The official trailer for the film was released on August 13, 2019. [35] Reception [ edit] Box office [ edit] As of February 2, 2020, Little Women has grossed 98. 8 million in the United States and Canada, and 64. 1 million in other territories, for a worldwide total of 162. 9 million. [3] 4] In the United States and Canada, the film was released alongside Spies in Disguise and the expansion of Uncut Gems, and was projected to gross 18–22 million from 3, 308 over its five-day opening weekend. The film made 6. 4 million on Christmas Day and 6 million on its second day. [36] It went on to debut to 16. 8 million (a total of 29. 2 million over the five-day Christmas frame) finishing in fourth. [37] 38] In its second weekend the film made 13. 6 million, finishing third. [39] Critical response [ edit] On Rotten Tomatoes, the film holds an approval rating of 95% based on 351 reviews, with an average rating of 8. 59/10. The website's critics consensus reads: With a stellar cast and a smart, sensitive retelling of its classic source material, Greta Gerwig's Little Women proves some stories truly are timeless. 40] On Metacritic, it has a weighted average score of 91 out of 100, based on 57 critics, indicating "universal acclaim. 41] Audiences polled by CinemaScore gave the film an average grade of "A–" on an A+ to F scale, and those at PostTrak gave it an average five out of five stars. [37] It was chosen by the American Film Institute and Time magazine as one of the top 10 films of 2019. [42] 43] Accolades [ edit] The film has received numerous accolades and nominations. At the 92nd Academy Awards, it received six nominations, including Best Picture, Best Actress, Best Supporting Actress and Best Adapted Screenplay. [44] At the 25th Critics' Choice Awards, it received nine nominations, winning for Best Adapted Screenplay. [45] 46] The film also received five nominations at the 73rd British Academy Film Awards and two nominations at the 77th Golden Globe Awards, and was chosen by the American Film Institute as one of the top 10 films of the year. [47] 48] 49] References [ edit. Little Women. British Board of Film Classification. Retrieved November 25, 2019. ^ Siegel, Tatiana (December 13, 2019. The First Couple of Film: Greta Gerwig and Noah Baumbach Open Up on Their Personal and Professional Partnership. The Hollywood Reporter. Archived from the original on December 13, 2019. Retrieved December 14, 2019. ^ a b "Little Women (2019. Box Office Mojo. Retrieved February 2, 2020. ^ a b "Little Women (2019) – Financial Information. The Numbers. Archived from the original on January 3, 2020. Retrieved February 2, 2020. ^ Oscars: Greta Gerwig's Adaptation Brings 'Little Women' Noms Tally to 14. Archived from the original on January 13, 2020. Retrieved January 13, 2020. ^ Kroll, Justin (October 18, 2013. Sony Sets Up 'Little Women' Adaptation with Olivia Milch Writing (EXCLUSIVE. Variety. Archived from the original on January 12, 2020. Retrieved January 8, 2020. ^ Amy Pascal, Sarah Polley Team on 'Little Women' Remake at Sony. March 18, 2015. Archived from the original on October 5, 2018. Retrieved June 29, 2018. ^ Whipp, Glenn (July 5, 2018. Why it's a perfect time for Greta Gerwig's version of 'Little Women. The Los Angeles Times. Archived from the original on November 9, 2019. Retrieved November 10, 2019. ^ Greta Gerwig Rewriting 'Little Women' Remake For Sony. Archived from the original on August 5, 2018. Retrieved August 15, 2018. ^ a b Kroll, Justin (June 29, 2018. Greta Gerwig Eyes 'Little Women' With Meryl Streep, Emma Watson, Saoirse Ronan, Timothee Chalamet Circling. Archived from the original on June 29, 2018. Retrieved June 29, 2018. ^ a b N'Duka, Amanda (June 29, 2018. Greta Gerwig To Helm 'Little Women' At Sony; Meryl Streep, Emma Stone, Timothée Chalamet, Saoirse Ronan In Talks. Archived from the original on July 10, 2018. Retrieved June 29, 2018. ^ N'Duka, Amanda (July 24, 2018. Little Women. Sharp Objects' Actress In Talks For The Role Of Beth March. Archived from the original on July 27, 2018. Retrieved July 24, 2018. ^ N'Duka, Amanda (August 2, 2018. Sony's 'Little Women' Adaptation Adds 'Flatliners' Actor James Norton. ^ Laura Dern in Talks to Join Meryl Streep in 'Little Women. Archived from the original on August 15, 2018. Retrieved August 14, 2018. ^ Emma Watson Joins Greta Gerwig's Adaptation of 'Little Women. August 24, 2018. Archived from the original on August 24, 2018. Retrieved August 24, 2018. ^ N'Duka, Amanda (September 5, 2018. Louis Garrel Cast In 'Little Women' Movie At Sony. Archived from the original on September 6, 2018. Retrieved September 5, 2018. ^ N'Duka, Amanda (September 24, 2018. Better Call Saul's Bob Odenkirk Joins Greta Gerwig's 'Little Women' Remake. Archived from the original on September 25, 2018. Retrieved September 24, 2018. ^ N'Duka, Amanda (September 28, 2018. Oscar Winner Chris Cooper Boards Greta Gerwig's 'Little Women' Adaptation. Archived from the original on September 29, 2018. Retrieved September 28, 2018. ^ Jr, Mike Fleming (October 2, 2018. New Regency Co-Finances Two Sony Films: Little Women. Girl In The Spider's Web. Archived from the original on October 3, 2018. Retrieved October 2, 2018. ^ N'Duka, Amanda (October 3, 2018. Sony Casts Abby Quinn In 'Little Women' As Filming Is Set To Begin This Month. Archived from the original on October 4, 2018. Retrieved October 3, 2018. ^ Greta Gerwig's 'Little Women' Starring Emma Watson Production Start Bumped To Early October In Boston. GWW –. September 13, 2018. Retrieved September 18, 2018... Little Women' starring Meryl Streep & Emma Watson, is set to film in Harvard, MA this week. October 25, 2018. Archived from the original on November 1, 2018. Retrieved November 1, 2018. ^ Blackwell, Deborah (November 1, 2018. Harvard's Arnold Arboretum attracts 'Little Women' with Meryl Streep. Harvard Gazette. Archived from the original on November 18, 2018. Retrieved November 17, 2018. ^ Miller, Julie (December 21, 2018. Saoirse Ronan on 'Little Women' and What She Learned from Mary Queen of Scots. Vanity Fair. Retrieved December 21, 2018. ^ Feinberg, Scott (April 18, 2019. Greta Gerwig's 'Little Women' Won't Screen at Cannes. Archived from the original on April 18, 2019. Retrieved April 18, 2019. ^ Saoirse Ronan Formed a Renaissance Version of the Spice Girls. Late Night with Seth Meyers. YouTube. December 18, 2018. Archived from the original on December 20, 2018. Retrieved December 20, 2018. ^ Alexandre Desplat to Score Greta Gerwig's 'Little Women. Costa-Gavras' Adults in the Room. Film Music Reporter. April 8, 2019. Archived from the original on April 12, 2019. Retrieved April 12, 2019... Little Women' Premiere. Average Socialite. Archived from the original on December 3, 2019. Retrieved December 3, 2019... Little Women' to open Festival do Rio. Rio de Janeiro International Film Festival. Retrieved December 2, 2019. ^ Quentin Tarantino's Manson Movie Shifts Off Sharon Tate Murder Anniversary Date. Archived from the original on July 19, 2018. Retrieved July 18, 2018. ^ Eldredge, Kristy (December 27, 2019. Opinion, Men Are Dismissing 'Little Women. What a Surprise. The New York Times. Retrieved December 27, 2019. ^ Rackham, Casey (December 14, 2018. Here's The First 'Little Women' Cast Photo And It's Amazing. BuzzFeed. Archived from the original on December 14, 2018. Retrieved December 14, 2018. ^ Sharf, Zack (December 20, 2018. Little Women' Behind the Scenes: Emma Watson Shares Intimate Look. IndieWire. Retrieved December 20, 2018. ^ Saraiya, Sonia (June 19, 2019. Exclusive First Look: Greta Gerwig and Saoirse Ronan's 'Little Women. Archived from the original on June 19, 2019. Retrieved June 19, 2019. ^ Beresford, Trilby (August 13, 2019. Greta Gerwig's 'Little Women' Releases First Trailer. Retrieved August 13, 2019. ^ McClintock, Pamela (December 25, 2019. Box Office: Star Wars: Rise of Skywalker' Unwraps Huge 32M on Christmas Day. Archived from the original on December 26, 2019. Retrieved December 26, 2019. ^ a b D'Alessandro, Anthony (December 28, 2019. Star Wars: Rise Of Skywalker' Chasing 'Last Jedi' With 76M 2nd Weekend; Little Women' Not So Tiny With 29M 5-Day. Deadline Hollywood. Archived from the original on December 29, 2019. Retrieved December 29, 2019. ^ Domestic 2019 Weekend 52. Archived from the original on December 30, 2019. Retrieved January 3, 2020. ^ D'Alessandro, Anthony (January 5, 2020. Star Wars: Rise Of Skywalker' Dips To 34M+ Third Weekend; Grudge' Doesn't Scream With 11M. F' CinemaScore. Archived from the original on January 5, 2020. Retrieved January 5, 2020... Little Women' 2019. Rotten Tomatoes. Archived from the original on December 18, 2019. Retrieved December 30, 2019... Little Women' 2019) Reviews. Metacritic. Retrieved December 25, 2019. ^ Zacharek, Stephanie (November 25, 2019. The 10 Best Movies of 2019. Time. Archived from the original on November 25, 2019. Retrieved December 3, 2019. ^ AFI Awards 2019 Honorees Announced. American Film Institute. Archived from the original on December 10, 2019. Retrieved December 4, 2019. ^ Oscar Nominations 2020: The Complete List of Nominees. January 13, 2020. Retrieved January 15, 2020. ^ Critics' Choice: The Irishman. Once Upon a Time in Hollywood' Lead Movie Nominations. Archived from the original on December 9, 2019. Retrieved December 8, 2019. ^ Ramos, Dino-Ray (January 12, 2020. Critics' Choice Awards: Once Upon A Time In Hollywood' Wins Best Picture, Netflix And HBO Among Top Honorees – Full Winners List. Archived from the original on January 14, 2020. Retrieved January 15, 2020. ^ Tartaglione, Nancy (January 7, 2020. BAFTA Film Awards Nominations: Joker. The Irishman. Once Upon A Time In Hollywood' Lead – Full List. Archived from the original on January 8, 2020. Retrieved January 7, 2020. ^ Nordike, Kimberly; Konerman, Kimberly; Howard, Annie (December 9, 2019. Golden Globes: Full List of Nominations. Retrieved December 9, 2019. External links [ edit] Little Women on IMDb.

 

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Downhill watch now. Liza: kissing a guy Me: shook David dobrik: shook David dobrik: gets a firegun Thanks for the likes. Lavinia Demographics Birthplace Ravnica Lifetime Mending Era Race Human Sources The Secretist, Part One The Secretist, Part Two The Secretist, Part Three Lavinia is the acting guildmaster and Grand Arbiter Pro Tem of the Azorius Senate on Ravnica. Formerly, she was an arrester in the Tenth District and the Steward of the Living Guildpact Jace Beleren. She is straightforward, stern, and seldom smiles. History [ edit, edit source] Lavinia's brother was a member of the Azorius, having trained at one of their academies. Unfortunately, soon after he graduated, he ran afoul of the Dimir and Rakdos. The groups tracked down the pair, and her brother ultimately paid for his sister's safety with his life. Lavinia killed the torturers herself, but not in time to save her brother's life. The next day, she left the Ninth District behind her and took her first steps to become an arrester. [1] Arrester [ edit, edit source] Lavinia became embroiled in the conflict surrounding the Implicit Maze when a building owned by Jace Beleren burnt to the ground. When she arrived to investigate, she found a conspiracy surrounding the telepath and demanded he come in for questioning. The mind-mage resisted and then fled to his destroyed domicile where his accomplice, an ogre by the name of Ruric Thar, helped him escape. During the ensuing conflict, Ruric Thar shrugged off the magic and wounded several of the arresters assigned to Lavinia. She made her report regarding the arson and conspiracy but was told, in no uncertain terms that she no longer had any interest in the case. When she disagreed and requested to continue her pursuit of Jace, she was reassigned and confined in the towers of New Prahv with the clear understanding that this "promotion" was to keep her out of the matter. She very nearly betrayed every value she held dear, abandoning her post, but ultimately she could not bring herself to do it. There were still other avenues that she could exploit without disobeying her orders. To her surprise, her research would pay off far more than she could have expected. As she gathered materials relating to the maze uncovered by the Izzet, the one that Jace himself had been researching, she found the fugitive coming to her for further information. She gave him very little about what she had learned but was all too happy to pressure Jace to turn himself in. The mind mage refused and left none the wiser, having tipped his hand to the arrester. Mazerunner [ edit, edit source] Lavinia once again appealed to Isperia after Niv-Mizzet announced the participation of each guild in the maze. For her troubles and obvious insider knowledge, Lavinia was chosen to run the maze representing the Azorius. She had also learned that the ultimate goal of the maze was to be the Supreme Verdict of Azor, and was left with questions of why the parun would choose to build the maze. Once the event began, Lavinia took the opportunity to, at last, arrest Jace as he accompanied Emmara Tandris through the Azorius Guildgate. Jace willingly gave in to stand trial with Isperia herself. He was found guilty of his crimes to Lavinia's immense satisfaction, but his punishment was to be community service: To see each maze runner complete the maze. Lavinia was stunned but had little choice but honor the guildmaster's wishes. Once the maze was completed, she once again sought out Jace, now in his new offices. He planned to form a council to govern the guildpact, and asked Lavinia to be a part of it. Reluctantly, or more appropriately, suspiciously, she agreed, if only to keep an eye on Jace. She became Jace's aide and deputy at the Chamber of the Guildpact. [2] 3] Deputy of the Living Guildpact [ edit, edit source] Lavinia managed affairs while Jace was away on Zendikar and Innistrad, dealing with the Eldrazi threat. Afterward, she was informed about his planeswalker nature and his affiliation with the newly formed Gatewatch. After some ratifications from Jace, she was willing to allow them in his residence. When Dovin Baan arrived from Kaladesh to hire the Gatewatch as a security force, Lavinia also brought news of a series of petrifications of several influential Azorius members. This led Jace to suspect that Vraska could have returned. Lavinia was tasked to cooperate with Gideon Jura to learn more about the assassinations. When Chandra disappeared along with Liliana, Lavinia forbade Jace to leave Ravnica again for such a long time, reminding him of his duties as the Living Guildpact. [4] Jace left anyway when Liliana Vess reported that she had seen Tezzeret on Kaladesh. [5] Rebel [ edit, edit source] Jace's disappearance worried her, but she steadfastly refused to violate the law of the land by stepping into his duties. [6] However, she also refused to acknowledge Dovin Baan 's authority when he became guildmaster after Isperia 's assassination by Vraska and was leading a rebel faction within the Azorius to overthrow him. She warned Ral Zarek against the agents of Bolas, that had infiltrated the guilds. [7] 8] When he thanked her, she stated that she was still doing her job: defending the Guildpact and Ravnica. [9] She was on the trail of Bolas' main agent, who turned out to be the planeswalker Tezzeret. [10] As she found him, she walked into a trap. Tezzeret outmatched her and placed a device on her neck, that turned her into an unwilling accomplice of Bolas. As Ral Zarek, Kaya and the Rakdos emissary Hekara banded together to activate the Interplanar Beacon to get help against Bolas, they were opposed by Vraska and the possessed Lavinia. [11] This led to Hekara being killed by Lavinia before Ral Zarek could free her from Tezzeret's device and she gained control of her own body again. [12] War of the Spark [ edit, edit source] During the War of the Spark Lavinia was tasked with Chandra, Nissa, and Saheeli (plus Lazav) to shut off the Immortal Sun. They managed to do so after defeating Dovin Baan, and many planeswalkers left right then. [11] She served as the representative for the Azorius Senate, at the resurrection of Niv-Mizzet as the new Living Guildpact. [13] Aftermath of the War [ edit, edit source] She survived the War and became acting guildmaster of the Azorius. She refused to become Deputy of the Living Guildpact again. As Grand Arbiter Pro Tem she strove to reform the Azorius after the twin plagues of Bolas and Baan, while simultaneously seeking her own replacement. Seeing the irony of having to carry the responsibilities, Jace Beleren wondered if she just wouldn't be the perfect choice to continue as guildmaster. [14] Story appearances [ edit, edit source] Title Author Publishing date Set Setting (plane) Featuring The One Hundred Steps Adam Lee 2013-05-22 Dragon's Maze Ravnica Azorius Senate, Cult of Rakdos, Lavinia The Gorgon and the Guildpact Doug Beyer 2014-03-12 Duel Decks: Jace vs. Vraska Jace Beleren, Vraska, Lavinia War of the Spark: Ravnica—Old Friends and New Greg Weisman 2019-05-08 War of the Spark Rat, Hekara, Teyo Verada, Nicol Bolas, Liliana Vess, Kaya, Ral Zarek, Gideon Jura, Teferi, Lavinia, Jace Beleren, Chandra Nalaar, Jaya Ballard, Ajani Goldmane, Karn War of the Spark: Ravnica—Rallying the Reluctant 2019-05-22 Rat, Kaya, Teyo Verada, Lavinia, Ral Zarek, Aurelia, Vorel, Gideon Jura, Jace Beleren, Isperia, Jiang Yanggu, Mowu, Dack Fayden, Ob Nixilis, Davriel Cane, Angrath, Huatli, Samut, Jaya Ballard, Vivien Reid, Ajani Goldmane, Kiora War of the Spark: Ravnica—Operation Desperation 2019-06-05 Rat, Teyo Verada, Kaya, Ral Zarek, Vraska, Exava, Rakdos, Tomik Vrona, Hekara, Nissa Revane, Lavinia, Borborygmos, Emmara Tandris, Vannifar, Vorel, Aurelia, Lazav, Kefnet, Niv-Mizzet War of the Spark: Ravnica—Ashes 2019-06-12 Rat, Gideon Jura, Tomik Vrona, Lavinia, Ral Zarek, Jace Beleren, Chandra Nalaar, Teferi, Ajani Goldmane, Nissa Revane, Jaya Ballard, Karn, Kaya, Teyo Verada, Isperia, Dack Fayden, Saheeli Rai, Hekara, Vraska, Nicol Bolas, Borborygmos, Samut, Vorel, Sorin Markov, Nahiri, Arlinn Kord, Feather, Liliana Vess, Oketra, Rakdos, Bontu, Niv-Mizzet, Angrath, The Wanderer, Mu Yanling, Jiang Yanggu, Mowu, Vivien Reid, Aurelia, Exava, Lazav The Gathering Storm: Chapter Three Django Wexler 2019-06-19 Guilds of Ravnica / Ravnica Allegiance Dovin Baan, Nicol Bolas, Ral Zarek, Aurelia, Isperia, Lavinia, Tomik Vrona The Gathering Storm: Chapter Five 2019-07-03 Ral Zarek, Hekara, Lavinia, Emmara Tandris, Nicol Bolas, Kaya, Tomik Vrona, Teysa Karlov The Gathering Storm: Chapter Six 2019-07-10 Ral Zarek, Lavinia, Hekara, Vraska, Xeddick, Tomik Vrona, Kaya The Gathering Storm: Chapter Nine 2019-08-07 Ral Zarek, Tomik Vrona, Hekara, Lavinia, Kaya, Teysa Karlov, Nicol Bolas, Mazirek, Vraska, Storrev The Gathering Storm: Chapter Seventeen 2019-10-02 Ral Zarek, Lavinia, Niv-Mizzet, Tezzeret The Gathering Storm: Chapter Nineteen 2019-10-16 Ral Zarek, Kaya, Hekara, Lavinia, Vraska The Gathering Storm: Chapter Twenty 2019-10-23 Ral Zarek, Kaya, Hekara, Lavinia, Vraska, Nicol Bolas, Mazirek, Storrev, Tezzeret, Niv-Mizzet In-game references [ edit, edit source] Represented in: Depicted in: Quoted or referred to: Trivia [ edit, edit source] Lavinia was originally quoted as Arrester Lavinia, Tenth Precinct. However, there are only six precincts in the Tenth District. Lavinia of the Tenth seems, therefore, to refer to the Tenth District itself. References [ edit, edit source] ↑ Adam Lee (May 22, 2013. The One Hundred Steps. Wizards of the Coast. ↑ Doug Beyer (March 12, 2014. The Gorgon and the Guildpact. Wizards of the Coast. ↑ Kelly Digges (July 22, 2015. Catching Up. Wizards of the Coast. ↑ Chris L'Etoile (August 29, 2016. Homesick. Wizards of the Coast. ↑ Doug Beyer (October 12, 2016. In This Very Arena. Wizards of the Coast. ↑ James Wyatt and Jeremy Crawford (November 2018. D&D Guildmasters' Guide to Ravnica. Wizards of the Coast. ↑ Django Wexler (June 19, 2019) The Gathering Storm/Chapter Three. ↑ Django Wexler (July 3, 2019) The Gathering Storm, Chapter Five. ↑ Django Wexler (July 11, 2019) The Gathering Storm, Chapter Six. ↑ Django Wexler (October 2, 2019) The Gathering Storm, Chapter Seventeen. ↑ a b Greg Weisman (April 2019. War of the Spark: Ravnica. Del Rey. ↑ Django Wexler (October 23, 2019) The Gathering Storm, Chapter Twenty, Del Rey. ↑ Greg Weisman (June 5, 2019. War of the Spark: Ravnica – Operation Desperation. Wizards of the Coast. ↑ Greg Weisman (November 2019. War of the Spark: Forsaken. Del Rey.

Great video but the music is so freaking cleche. YouTube.

 

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I was lowkey kinda sad when that guy ended up being weird cause i really liked him. Downhill watches. Čelo pohybující se laviny suchého sněhu. Lavina je rychlý a náhlý sesuv většího množství sněhu po svahu, který by již mohl zasypat, zranit nebo zabít člověka. [1] Slovo lavina se někdy (např. v běžném hovoru) přeneseně používá i pro různé jiné sesuvy, například kamení, půdy, bahna atd. V tomto článku jsou popsány především sněhové laviny – ovšem i sněhová lavina s sebou často bere kamení, stromy a další materiál. Laviny představují vážné nebezpečí především v horských oblastech, kde je jak dostatek strmých svahů, tak dostatečná mohutnost sněhové pokrývky. Ročně zahynou v zemích s aktivní lavinovou službou řádově první stovky osob. Největší podíl z nich, zpravidla přes 80% představují osoby pohybující se ve volném terénu, jako jsou lyžaři, skialpinisté a horolezci. [2] Jakožto přirozený přírodní proces mají laviny nezastupitelný význam ve vývoji přírodních ekosystémů. [3] Etymologie [ editovat, editovat zdroj] České slovo „lavina“ je přejato z německého slova Lawine. [4] To bylo do němčiny přejato v alpské oblasti v románském prostředí z pozdnělatiského slova lābīna s významem „sesuv země, zřícení“. [4] Kořen slova tvoří sloveso lābī, které znamená „sunout se“ či „padat“ a souvisí se slovem „labilní“. [4] Příčiny [ editovat, editovat zdroj] Z fyzikálního hlediska budoucí lavina představuje na strmém svahu značné množství potenciální energie. Na místě se drží díky vlastní pevnosti, třecím silám s podkladem a případnou podporou objektů na svahu, které působí jako kotvy (např. stromy. 5] 6] Rovnováha může být různě stabilní a ke kritickému vychýlení z rovnováhy může být potřeba různého impulsu síly. [5] Lavina vzniká, když je tato rovnováha dostatečně porušena – například vzroste zatížení spodních vrstev sněhu nově napadlým nebo navátým sněhem, pádem převěje nebo zatížením lidmi (i zvířaty) – třeba během lyžování. Lavina také může vzniknout kvůli snížení tření s podkladem či pevnosti sněhových vrstev, kupříkladu při rychlém oteplení nebo penetraci sněhových vrstev deštěm. [5] Laviny mohou vzniknout také v důsledku zemětřesení [7] nebo nárazem tlakové vlny. Tímto mechanismem, s pomocí výbušnin, mohou být laviny uvolňovány i řízeně. Takové odstřely se běžně provádí na mnoha místech za účelem snížení rizika katastrofických lavin. [8] Ze všech pevných materiálů na povrchu Země je sníh tím nejméně soudržným. To vysvětluje, proč je četnost lavin daleko větší než četnost jiných svahových procesů – sesuvů, skalních řícení apod. Příčinou křehkosti sněhu v tomto porovnání je fakt, že je sníh přibližně z 80% tvořen vzduchem a pouze z 20% ledem a jakákoli soudržnost pochází pouze z vazeb mezi jednotlivými ledovými částicemi. [p 1] Zároveň teplota sněhové pokrývky obvykle dosahuje více než 90% bodu tání, což umožňuje výrazné a prudké změny v její struktuře a soudržnosti. [9] Přesto na většině míst a po většinu času je sněhová pokrývka stabilní vzhledem k běžným spouštěčům. Pro hodnocení instability je odlišována instabilita absolutní, vyskytující se obvykle jen velmi krátce, typicky jen několik hodin za zimu, a která vede k značné spontánní lavinové aktivitě, od instability podmíněné, kdy k uvolnění laviny je nutný vnější spouštěč, a která ve sněhové pokrývce přetrvává výrazně déle. Odhalení této podmíněné nestability je cílem posuzování lavinové situace, neboť tímto vnějším spouštěčem může být právě pohyb člověka v lavinovém terénu. [10] Na sněhovou pokrývku působící gravitační síla v ní na svahu vyvolává různé typy deformací. Jednak je to sedání sněhové pokrývky způsobené tlakovou složkou síly, kolmou k povrchu sněhu ve svahu, a jednak ploužení, tedy pomalý pohyb sněhových zrn směrem dolů po svahu, s rychlostí klesající od povrchu sněhu směrem do hloubky, který vyjadřuje střižnou složku síly. Zatímco tlaková složka sesedání vede obecně ke stabilizaci sněhu, střižná složka podporuje nestabilitu. Třetí případnou složkou může být klouzání, tedy stejnoměrný povrch celého sloupce sněhu po podloží, který je velmi malý nebo zanedbatelný v případě suchého sněhu, ale nabývá na významu, pokud je na rozhraní mezi podložím a sněhovou pokrývkou vrstvička tekuté vody. [p 2] Za normálních okolností se ve sněhu nemohou tvořit pružné, křehké zlomy, jaké jsou typické pro deskové laviny suchého sněhu, pokud rychlost deformace nedosáhne alespoň stonásobku běžné rychlosti ploužení. Taková rychlost deformace je snadno dosažitelná vnějším spouštěčem (ať už jím je výbuch, pohyb lyžaře nebo třeba pád převěje) nicméně aby mohla být dosažena bez vnějšího spouštěče, jak se tomu děje u většiny spontánních lavin, musí být ve sněhové pokrývce přítomna slabá místa, jako jsou mikroskopické trhlinky či puklinky. Taková slabá místa jsou zásadní pro vznik střižných zlomů, vyvolávajících laviny, a vzhledem k tomu, že je není možné ve sněhu rozpoznat, nebo dokonce měřit jejich vlastnosti, předvídání lavin je vždy pravděpodobnostní činností se zbytkovým rizikem. [11] Klasifikace lavin [ editovat, editovat zdroj] Odlučná, transportní a akumulační zóna laviny Laviny mohou být tříděny dle nejrůznějších kritérií, jako je způsob vzniku, velikost, intenzita, tvar dráhy a podobně. V různých zemích s aktivní lavinovou službou byly historicky uplatňovány různé lavinové klasifikace. Pokusem o sjednocení popisu lavin na celém světě byla Ilustrovaná mezinárodní klasifikace lavin vydaná Mezinárodní komisí o sněhu a ledu (ICSI) pod záštitou UNESCO v roce 1981. [12] Ta třídí laviny podle dvou základních přístupů. Morfologická klasifikace zohledňuje jevy související s tvarem a podobou laviny, jevy, které jsou přímo pozorovatelné. Genetická klasifikace zohledňuje procesy a podmínky zapřičiňující vznik laviny. Morfologická klasifikace lavin [ editovat, editovat zdroj] Lavinová dráha a akumulační zóna laviny. Lavinový nános obsahuje kromě sněhu kmeny a větve stržených stromů a další lavinou stržený materiál. Tato klasifikace je používána operativně v případě popisu lavinové události v terénu. Klasifikace rozděluje lavinu na tři hlavní části: odlučnou zónu laviny (pásmo odtrhu) lavinovou dráhu (transportní pásmo) a akumulační zónu (pásmo nánosu. V jednotlivých klasifikačních třídách pak hodnotí jevy, které jsou v těchto částech laviny pozorovatelné. V případě odlučné zóny jde o způsob vzniku laviny, pozici skluzného horizontu (povrchu, po kterém lavina klouže) a obsah tekuté vody ve sněhu. V případě transportního pásma jde o tvar dráhy a způsob pohybu sněhu. V případě akumulační zóny jde o hrubost nánosového materiálu, obsah tekuté vody v době uložení materiálu, a také přítomnost cizorodého materiálu (kamení, větve, stromy. v lavině. [12] Laviny dle způsobu vzniku [ editovat, editovat zdroj] Lavina z volného sněhu laviny z volného sněhu: tyto laviny startují z jednoho místa a mají trojúhelníkový tvar. Při uvolnění laviny se dává do pohybu jen malé množství povrchového sněhu (obvykle méně než 10 −4  m 3. Příčinou je ztráta soudržnosti vlivem přeměny sněhu nebo vlivem slunečního záření či deště. Často se tak děje v blízkosti skalních výstupků či lokálního ztenčení sněhové pokrývky, kde jsou typické vyšší teploty sněhové pokrývky. Tento uvolněný sníh pak při svém pohybu strhává další sníh do určité hloubky dané soudržností sněhu s hloubkou. To vytváří charakteristický trojúhelníkový tvar laviny. Laviny volného sněhu vytvořené ve stejných podmínkách mívají obvykle velmi podobnou velikost. Mokré laviny volného sněhu mohou dosahovat podstatně větších rozměrů než relativně neškodné suché laviny volného sněhu. [13] deskové laviny startují z odtrhové linie a dochází k uvolnění sněhové desky. Na rozdíl od laviny volného sněhu je ke vzniku sněhové desky a tedy vzniku deskové laviny potřeba určitá soudržnost sněhové pokrývky. Sněhová deska je od svého podloží (kterým může být další sněhová vrstva nebo samotný terén) oddělena tenkou vrstvou sněhu, která je špatně soudržná ve směru střihu a naopak zpravidla dobře odolává kompresi. Tato vrstva, nazývaná slabou, nebo kritickou vrstvou, může být silná od jednotek milimetrů, a tedy velmi špatně rozeznatelná, až po více než deset centimetrů. [14] K iniciaci laviny dochází vznikem mikroskopického selhání na této kritické vrstvě. K vytvoření selhání dochází, když smykové napětí dosáhne meze pevnosti sněhu ve smyku. Zároveň však musí platit, že deformace odlučné plochy sněhu musí být dostatečně rychlá pro vytvoření trhliny. Nestabilní sněhová podmínka vzniká, když je splněn první předpoklad, k samotnému odtrhu laviny může dojít až když jsou splněny oba. [15] Ve chvíli, kdy počáteční trhlina dosáhne dostatečné velikosti (v řádu desítek centimetrů) šíří se po kritické vrstvě ve všech směrech. Zpravidla přitom dochází ke kolapsu kritické vrstvy. [14] Samotná desková lavina je od svého okolí při uvolnění oddělena minimálně čtyřmi zlomovými plochami. Podložím deskové laviny je ona smyková plocha, po které se šíří počáteční zlom. Smykovými plochami jsou také boky sněhové desky. Linií odtrhu je nazýváno místo na horní hraně desky, kde se iniciační zlom přestal šířit po kritické vrstvě proti svahu a došlo ke vzniku tenzní trhliny napříč sněhovou vrstvou směrem k povrchu sněhu. Spodní hrana sněhové desky, kde vlivem jejího počínajícího pohybu dochází ke kompresi, bývá nazývána německým termínem stauchwall. [14] 16] Deskové laviny jsou obecně nebezpečnější než laviny volného sněhu. V případě uvolnění laviny člověkem se tento nachází uprostřed uvolněné sněhové desky. Velká většina škod a lidských obětí je způsobována deskovými lavinami. [17] V klasifikaci je pak ještě dále podle tvrdosti sněhu děleno, zda jde o deskovou lavinu měkkou nebo tvrdou. [12] Laviny dle pozice skluzného horizontu [ editovat, editovat zdroj] Základní dělení je v tomto případě, zda se skluzný horizont nachází při kontaktu sněhu se zemí ( základové laviny) nebo zda se nachází v rámci sněhového profilu ( povrchové laviny. Povrchové laviny se dále dělí podle toho, zda k odtrhu došlo v rámci nového sněhu, nebo v rámci sněhu starého. [12] Laviny dle obsahu tekuté vody ve sněhu [ editovat, editovat zdroj] Lavina ze suchého sněhu. Pod oblakem prachového sněhu je zpravidla ještě vnějšímu pozorovateli neviditelné jádro laviny, kde je sníh transportován tečením. [18] Dle obsahu vody ve sněhu se laviny dělí na laviny suchého sněhu, kdy se v odlučné zóně laviny nachází pouze sníh bez obsahu tekuté vody, a laviny mokrého sněhu, kdy sníh v odlučné zóně tekutou vodu obsahuje. [12] Suché i mokré mohou být jak laviny volného sněhu, tak laviny deskové. Obsah tekuté vody v odlučné zóně jednak vypovídá o procesu formování laviny a jednak ovlivňuje velikost laviny, způsob jejího pohybu i její nebezpečnost. [19] Specifickými typy lavin, danými obsahem tekuté vody ve sněhu, ale nezahrnutými do mezinárodní klasifikace, mohou být břečkotoky a břečkové laviny, kdy dochází k uvolnění promoklého sněhu (obsah tekuté vody 15% a více) i na svazích s velmi mírným sklonem (typicky 5–20. Takové laviny vznikají zejména v pozdních jarních měsících v  polárních oblastech, kdy je celý sněhový profil přesycen vodou. [20] Vznikat ale mohou i v  Krkonoších. [21] Dalším specifickým typem souvisejícím s vodou v odlučné zóně mohou být ledové laviny vzniklé uvolněním ledovcového seraku. [22] Genetická klasifikace lavin [ editovat, editovat zdroj] Na rozdíl od morfologické klasifikace nebývá užívána operativně pro popis lavinové události. [23] Klasifikace popisuje podmínky vytvářející nebezpečí vzniku lavin. Mohou to být jednak trvalé podmínky (relativní výška vzhledem k hranici lesa a hřbetům hor, sklon a orientace svahu, terénní tvary, hrubost terénu) jednak tzv. „genetické proměnné“. Těmi jsou počasí v uplynulých dnech, srážková činnost, vítr, teplotní a radiační podmínky, hodnoty stavu sněhové pokrývky, jako je celková výška sněhové pokrývky nebo stratifikace sněhového profilu, a také informace o vzniku laviny – spontánní uvolnění, nebo uvolnění člověkem. 12] Laviny dle velikosti [ editovat, editovat zdroj] Velikostní kritérium v mezinárodní klasifikaci lavin zahrnuto není. Tradičně existují tři různé klasifikace velikosti lavin – americká, kanadská a evropská, ale v rámci mezinárodní spolupráce dochází k jejich sjednocování. Ačkoli jednotlivé velikostní třídy bývají popsány mírně odlišně, řádově by si měly odpovídat. Evropská klasifikace velikosti lavin je popsána následovně: 24] 25] Velikost České označení Potenciální škody Dojezd laviny Typická délka Typický objem Velikost 1 splaz nepravděpodobné pohřbení osoby s výjimkou nevýhodné terénní konfigurace zóny dojezdu v rámci strmého svahu 10–30 m 100 m 3 Velikost 2 malá lavina může pohřbít, zranit, nebo zabít člověka může dosáhnout konce daného svahu 50–200 m 1000 m 3 Velikost 3 střední lavina může zničit a pohřbít auta, poškodit nákladní automobily, zničit malé budovy a zlomit několik stromů může překonat plochý terén na vzdálenost méně než 50 m stovky metrů 10 000 m 3 Velikost 4 velká lavina může pohřbít a zničit nákladní automobily či vlaky, zničit poměrně velké budovy a malé plochy lesa může překonat plochý terén na vzdálenost větší než 50 m a dosáhnout dna údolí 1–2 km 100 000 m 3 Velikost 5 velmi velká lavina má devastující destruktivní potenciál, může zničit celou krajinu dosahuje dna údolí, největší známé laviny přibližně 3 km nad 100 000 m 3 Podmínky pro vznik lavin [ editovat, editovat zdroj] Terén [ editovat, editovat zdroj] Ploché hřebeny tvoří v lavinovém terénu bezpečnější cestu, než strmé svahy Základní předpoklad pro uvolnění laviny je sklon svahu. Ostatní terénní charakteristiky mají pouze doplňující charakter. Obecně neexistuje žádná přesná hranice minimálního sklonu, pod kterým se již laviny nevyskytují, minimální sklon pro uvolnění laviny závisí na konkrétních sněhových podmínkách. Různé typy lavin však vznikají na svazích různých charakteristických sklonů. Laviny suchého sněhu vzácně vznikají na svazích již od 25 sklonu [26] a se vzrůstajícím sklonem jejich četnost narůstá, zejména ve svazích nad 30 sklonu. Kolem poloviny všech lavin s lidskou účastí je uvolněno ze svahů o sklonu mezi 35 a 40, přičemž mediánem je sklon 39. 27] Nad 45 sklonu se četnost lavin snižuje a nad 60 bývají laviny vzácné – sníh se po svahu průběžně sesypává v malých objemech zpravidla již v průběhu sněžení. Laviny mokrého sněhu a břečkotoky se nečetně vyskytují i na svazích strmých pouze 10–25. [28] Převěj ukládaná na závětrné straně hřebene. 1) zachycené praskliny ve sněhu, 2) nová hrana poté, co část převěj sjela, 3) část převěje, která sjela bezprostředně po pořízení fotografie Další důležitou terénní charakteristikou je orientace svahu, a to jednak vůči převládajícímu směru větru, a jednak vůči světovým stranám (tj. vůči slunci jako zdroji záření. Při větrném počasí bývá sníh převíván z návětrných svahů na svahy závětrné, kde je ukládán. Na závětrných svazích zejména v blízkosti hřebenů je tak značná zásoba sněhu pro tvorbu lavin, které mohou být větších rozměrů. Ani návětrné svahy však nejsou prosté lavinového rizika – i zde může být akumulováno dostatečné množství sněhu k překrytí kritických vrstev a ke vzniku deskových lavin. Nižší sněhová pokrývka s sebou také přináší zpravidla vyšší teplotní gradient a tím vyšší riziko tvorby plovoucího sněhu. Z hlediska orientace vůči slunci se nebezpečí vzniku lavin mění v průběhu sezóny. Uprostřed zimy bývají kritické zejména stinné svahy v severní expozici. Sněhová pokrývka zde získává jen velmi málo tepla od slunce a ztrácí teplo dlouhovlnným vyzařováním. To vede k tomu, že zde jen velmi zvolna dochází ke stabilizaci sněhu a často zde mohou vznikat přetrvávající kritické vrstvy tvořené hranatozrnitými krystaly, pohárkovými krystaly nebo zasněženou povrchovou jinovatkou. Ve svazích s jižní, slunnou expozicí zpravidla dochází k rychlejší stabilizaci sněhové pokrývky uprostřed zimy a svahy jsou tedy obecně příznivější. Nicméně v pozdní zimě a na jaře zde snáze dochází k tavné přeměně a sněhová pokrývka se rychle může stát nestabilní. [29] Změť kmenů a sněhu po Wellingtonské lavině, nejsmrtelnější lavině v historii USA Podstatnou úlohu hraje také vegetační pokryv. Zapojený les na strmých svazích podstatně tlumí případný vznik lavin, protože je zde obecně stabilnější sněhová pokrývka, a to z několika důvodů: jednak jsou v lese obecně menší rychlosti větru, dále je ovlivňován radiační režim (méně přímého slunečního záření a méně dlouhovlnného vyzařování) stromy také v průběhu sněžení zachycují nadpoloviční většinu padajícího sněhu, zadržený sníh pak z větví postupně opadává a vytváří nepravidelnou sněhovou strukturu. Při dostatečné hustotě lesa pak kmeny stromů tvoří přímou oporu sněhové pokrývce. [30] Nicméně ani les není zcela prost lavinového rizika. I v lese může dojít k uvolnění laviny, a to zejména pokud je tvořen opadavými druhy stromů, 31] nebo pokud jde o rozvolněný porost na horní hranici lesa. Lesní pokryv je také jen minimální zábranou pro velké laviny, které se uvolnily nad ním. Takové laviny bez problémů lámou stromy a vytvořená směsice sněhu a kmenů výrazně zvyšuje destruktivní potenciál laviny. Dvojsečný je vliv keřovitých porostů – zatímco při mělké sněhové pokrývce mohou bránit vzniku laviny, při vyšší pak mohou blokovat sesedání sněhové pokrývky a tím stabilizaci sněhu. Hladké travnaté svahy jsou zase často spojeny se vznikem lavin klouzavého sněhu. [32] Dále hraje roli také samotný charakter povrchu a jeho drsnost. Hrubý povrch kotví sněhovou pokrývku do té doby, než jej tato zcela přikryje a vytvoří povrch hladký. Kotvícími objekty mohou být kameny a balvany, svahové terásky, padlé klády nebo i výše zmíněné stojící stromy a keře. Relativně hladký terén (např. travnatý svah, jemná suť) potřebuje přibližně třiceticentimetrovou sněhovou pokrývku pro vznik lavinového nebezpečí, průměrný horský terén přibližně šedesáticentimetrovou a hrubý terén tvořený velkými balvany, případně pařezy nebo padlými kládami přibližně jeden metr napadlého sněhu. Stabilizační efekt hrubého povrchu se však může zcela obrátit ve chvíli, kdy je tento přikryt dostatečně silnou sněhovou pokrývkou. Na kontaktu balvanů a sněhové pokrývky může docházet k ukládání napětí a právě v těchto místech může docházet k uvolnění deskové laviny. Na balvanech a jiných vystouplých objektech může být také sněhová pokrývka tenčí a vlivem většího teplotního gradientu zde může docházet k větší přeměně sněhových zrn a vzniku kritických sněhových vrstev. [33] Důležité jsou také samotné rozměry svahu a jeho uspořádání. Svah potřebuje určité minimální rozměry pro vznik laviny – pro deskové laviny přibližně platí, že šířka uvolněné sněhové desky je přibližně stonásobkem hloubky odtrhu a délka desky přibližně padesátinásobkem, ačkoli existují značné rozdíly. Další důležitou proměnnou je také konvexnost nebo konkávnost daného svahu. V konvexní části svahu (případně tam, kde se konvexně mění mocnost sněhové pokrývky) má tendenci se akumulovat tahové napětí ve sněhu, v konkávních částech svahu dochází ke kompresi. Terénní útvary jako žleby či muldy mohou být zásadní při formování lavin. Důležitou roli hraje také nadmořská výška svahu. Vlivem teplotního gradientu, rozdílné síly či směru větru ap. můžou být na stejném svahu v rozdílných nadmořských výškách zcela jiné podmínky pro uvolnění laviny. [34] Sněhová pokrývka [ editovat, editovat zdroj] Obecně může mít sněhová pokrývka složitou strukturu, skládající se z mnoha sněhových vrstev ukládaných v průběhu zimy, odlišujících se druhem a velikostí krystalů, hustotou, teplotou, pevností, a dalšími parametry. Sněhová zrna, která tvoří danou sněhovou vrstvu, v sobě odrážejí meteorologické podmínky, za kterých byla daná vrstva uložena, a také procesy, kterými prošla. [35] 36] 37] Vyhodnocování vnitřní struktury sněhové pokrývky – sněhového profilu – je základem expertního posuzování lavinového nebezpečí. [38] 39] Pro vznik deskové laviny je vždy podstatná přítomnost kritické vrstvy – vrstvy nestabilního, nesoudržného sněhu. [40] Sněhový profil deskou navátého sněhu Pro posouzení stability sněhového profilu, kritických vrstev a jejich vývoje je obvykle měřena hustota sněhových vrstev, kdy nevýhodnými znaky jsou zejména velké rozdíly mezi sousedními vrstvami, a umístění hustších vrstev nad méně hustými, dále teplota v různých hloubkách a její gradient, kdy vyšší teplotní gradient vede spíše k výstavbové přeměně, zatímco menší teplotní gradient k přeměně bortící, a také typ sněhových zrn a jejich velikost. [41] 42] Meteorologické podmínky [ editovat, editovat zdroj] Vítr může transportovat značná množství sněhu na značné vzdálenosti Počasí je vždy na mnoha místech řetězce příčin vedoucího k uvolnění laviny. Počasí ovlivňuje vytváření struktury sněhového profilu, meteorologické vlivy mohou vést i přímo k uvolnění laviny. Mezi hlavní meteorologické proměnné ovlivňující lavinové nebezpečí patří: vítr, jeho rychlost a směr – klíčovou je zde schopnost větru přenášet sněhové částice, odnášet je z původního místa a ukládat je na jiné. Tato schopnost je závislá jak na rychlosti větru, tak na charakteru sněhových částic a jejich uložení, případně teplotních a vlhkostních podmínkách. Rychlost, při které je vítr schopen odnášet dříve uložený sníh, obecně roste a) s rostoucí teplotou a vlhkostí, b) se stářím povrchové vrstvy sněhové pokrývky, c) když byly dané částice původně také uloženy větrem a tím pádem mají menší průměrnou velikost a sněhová vrstva vyšší hustotu. Minimální hodnoty se tedy pohybují v širokém rozpětí od 5 m/s pro nezpevněný sníh, až po více jak 25 m/s pro tvrdou, dobře propojenou sněhovou vrstvu. Sníh uložený větrem tvoří tvrdé, dobře provázané desky, které mohou stát u vzniku deskových lavin. Vítr v kombinaci s terénními útvary je také zodpovědný za nerovnoměrné rozmístění sněhu a tedy nerovnoměrnou tloušťku sněhové pokrývky v různých částech svahu a mezi různými svahy. [43] srážky, ať už ve formě sněžení nebo deště, akutně zvyšují lavinové riziko. Čím více nového sněhu (ať už je myšlena jeho výška, nebo vodní hodnota) čím intenzivnější je sněžení a čím nevýhodnější jsou podmínky jeho ukládání (vítr, teplota, typ krystalů) tím větší je nárůst lavinového nebezpečí. Déšť způsobuje velmi rychlý a výrazný nárůst lavinového nebezpečí, opět tím větší, čím vyšší jsou srážkové úhrny a intenzity. [44] 45] teplota vzduchu a její vývoj v čase – obě složky ovlivňují možnost tvorby lavin. Při teplotách mírně pod nulou dochází k rychlé stabilizaci sněhové pokrývky, chladné teploty zpomalují její spojování a konzervují kritické vrstvy. Dlouhodobé silné mrazy mohou vést ke vzniku kritických vrstev vytvořených výstavbovou přeměnou [p 3] sněhových krystalů. Výrazné oteplení během sněžení může mít za následek vznik kritické vrstvy mezi chladnějším starým a teplejším novým sněhem. Oteplení nad 0 C snižuje pevnost sněhové vrstvy a vytváří napětí ve sněhové vrstvě, neboť se nejprve ohřívá povrch, přičemž hlouběji uložený sníh je ještě chladný. Při delším trvání teplého počasí pevnost a soudržnost sněhových vrstev výrazně klesá a může dojít ke vzniku velkých deskových lavin mokrého sněhu. Jako příznivé je vnímané opakované oteplování a ochlazování (pokud při něm nedochází k ukládání sněhových vrstev s výrazně odlišnou teplotou) a citelné ochlazení z teplot kolem 0 C. [46] 45] Kontrast mezi slunnými a zastíněnými svahy v horském terénu se značně odlišným přísunem slunečního záření. Sněhová pokrývka se mezi takovými svahy může podstatně lišit. sluneční záření a oblačnost – sluneční záření spolu s teplotou vzduchu a silou větru výrazně ovlivňuje teplotu svrchní vrstvy sněhu. Velká intenzita slunečního záření může vést k tavné přeměně a tím ztrátě soudržnosti, ale také vzniku krust, se kterými bývá spojována tvorba kritických vrstev ve sněhu. Oblačnost ovlivňuje dlouhovlnné vyzařování ze sněhové pokrývky, které ji ochlazuje. Chladné, bezoblačné noci jsou spojeny s tvorbou hranatozrnitých krystalů a povrchové jinovatky. Kombinované působení intenzivního slunečního záření na jižních svazích a nočního dlouhovlnného ochlazování může vést také k tvorbě nestabilního sněhu na povrchu prostřednictvím tzv. radiační rekrystalizace. Význam slunečního záření se mění v průběhu sezóny a dominuje zejména v jarních měsících. [47] 45] vlhkost vzduchu – vysoká vzdušná vlhkost v souvislosti s ukládáním větrem přenášeného sněhu vede k vytváření vrstev soudržného sněhu, který pak může tvořit deskové laviny. Vysoká vzdušná vlhkost je důležitá také pro tvorbu povrchové jinovatky. [48] Kromě meteorologických faktorů hrají v dlouhodobém měřítku roli i faktory klimatické. Lavinové oblasti v  oceánických klimatech mívají vysoký úhrn srážek, tedy také vysokou sněhovou pokrývku, a relativně mírné teploty. Podmínky ve sněhové pokrývce zde často rychle fluktuují mezi stabilitou a nestabilitou, laviny se uvolňují obvykle v průběhu nebo krátce po skončení srážkové epizody. Vyšší teploty vzduchu vedou po srážkové epizodě k rychlé stabilizaci ve sněhové vrstvě. Četnou příčinou tvorby lavin je zde déšť, který také vytváří ledové vrstvy, které mohou sloužit jako budoucí skluzné plochy. Hluboce položené, perzistentní kritické vrstvy nejsou četné. V  kontinentálních klimatech jsou úhrn srážek i teploty výrazně nižší a sněhová pokrývka nebývá tak vysoká. Většina lavin je spojená s novým sněhem, stejně jako v oceánických klimatech, nicméně velké lavinové události bývají často spojeny s přetrvávající kritickou vrstvou hluboko ve sněžném profilu. [49] Typické lavinové situace [ editovat, editovat zdroj] Evropská předpovědní praxe využívá pro popis lavinového nebezpečí 5 obecných problémových faktorů, osvětlujících v čem spočívá hlavní riziko. Těmito problémovými faktory jsou: 50] nový sníh – kritické množství nově napadlého, netransformovaného sněhu navátý sníh – sníh transportovaný a ukládaný větrem starý sníh – kritická vrstva ve starém sněhu (starý sníh je popisován buď jako sníh starší, než nejnovější srážková událost [37] nebo jako „sníh, který v průběhu mnoha dní nebyl vystaven vlivu nových sněhových srážek, větru, nebo tání“ [51] mokrý sníh – nebezpečí spjaté s rostoucím oslabováním sněhové pokrývky jejím prosycováním vodou klouzavý sníh – celá sněhová pokrývka klouže po hladkém podkladu Tyto problémové faktory jsou uváděny v lavinových bulletinech evropských lavinových služeb. Navíc mohou lavinové služby označovat situace s nízkým nebezpečím jako „příznivá situace“. Popis pomocí problémových faktorů je však poměrně obecný. Nový sníh Navátý sníh Starý sníh Mokrý sníh Klouzavý sníh Z pozorování tyrolské lavinové služby vychází, že lavinové nehody často mají opakující se vzorec. Dochází k nim na opakujících se místech při opakujících se meteorologických situacích. Rudi Mair a Patrick Nairz v pozorování identifikovali deset jasně definovaných rizikových situací, které nastávají opakovaně a jsou zjevné. Tyto modelové situace jsou definovány na základě procesů, které vedou k aktuální skladbě sněhové pokrývky, a procesů, které v ní lze očekávat v důsledku budoucího vývoje počasí. [52] Těmito deseti modelovými situacemi jsou: Slabá vrstva blízko u země vzniká na začátku zimy při procesech přeměny sněhové pokrývky. K jejímu vzniku dochází zpravidla během delších období hezkého počasí po prvním sněžení. Po druhém významnějším sněžení pak nově napadlý sníh vytváří deskové laviny sjíždějící po této slabé vrstvě. Při zimách chudých na sníh může toto nebezpečí trvat dlouhou dobu. [53] Klouzavý sníh je situace, kdy celá sněhová pokrývka klouže po hladkém podkladu. U tohoto modelu nezávisí na dodatečném zatížení sněhové pokrývky k uvolnění laviny. Tento typ nebezpečí snadno rozpoznatelný (v terénu se vytvářejí „rybí tlamy“ – viditelné, až několik metrů hluboké trhliny ve sněhové pokrývce) nicméně samotné uvolnění laviny je jen velmi obtížně predikovatelné – laviny klouzavého sněhu se mohou uvolnit i za obecně stabilních sněhových podmínek, ve kteroukoli denní i noční dobu, v nejchladnější i nejteplejší den zimy. Voda na styčné ploše mezi sněhem a podkladem zvyšuje pravděpodobnost uvolnění klouzavé laviny, k nim tedy dochází častěji po dešti a oteplení. Častá je tato situace také po vydatném sněžení ze začátku zimy, kdy je země ještě relativně teplá. [54] Déšť rychle a výrazně navyšuje lavinové nebezpečí, neboť zvyšuje hmotnost sněhové pokrývky, oslabuje její vnitřní soudržnost a zároveň působí jako kluzný prostředek. Déšť se může vyskytovat v kterémkoli období zimy, zejména v nižších polohách. Tento typ lavinového nebezpečí je velmi snadno rozpoznatelný. [55] Chladno po teplu / teplo po chladnu – navazují -li na sebe dvě sněhové vrstvy se značně rozdílnou teplotou (buď na prochlazený starý sníh při oteplení napadne nový, teplejší sníh, nebo naopak na relativně teplý sněhový povrch začne sněžit po výrazném ochlazení) mají mezi sebou výrazný teplotní gradient a velmi špatně se spojují. Na jejich rozhraní také může docházet k výstavbové přeměně [p 3] a vzniká tenká kritická vrstva tvořená plovoucím sněhem. Tento typ nebezpečí je bez sledování meteorologické situace velmi špatně rozpoznatelný, neboť ke vzniku nebezpečí nedochází bezprostředně po sněžení, ale až v průběhu dalších dní. [59] Sněžení po dlouhém chladném období je „klasickým“ typem lavinového rizika. Během dlouhého chladného období dochází k výstavbové přeměně [p 3] prochládající sněhové pokrývky a vzniku nestabilního plovoucího sněhu v ní. To samo o sobě není nebezpečné, vznikne sněhová pokrývka téměř bez napětí. K prudkému nárůstu lavinového nebezpečí dochází ve chvíli, kdy na tuto nestabilní vrstvu napadne nebo je větrem převátý nový sníh. Ten se s původní sněhovou pokrývkou spojuje jen velmi těžko. K uvolnění deskové laviny pak stačí jen minimální dodatečné zatížení. Nebezpečí lavin pak klesá jen velmi pomalu. [60] 61] Nesoudržný sníh a vítr – při tomto modelu slabou vrstvu obvykle tvoří nesoudržný nový sníh, na kterém leží navátý sníh. To znamená, že buď nejprve za nízkých teplot sněžilo, a poté začal foukat vítr, nebo vítr během sněžení zesílil. Nebezpečí je pak zpravidla v terénu snadno rozpoznatelné a netrvá dlouho. Výjimkou může být situace, kdy vítr přemístil povrchovou vrstvu starého sněhu tvořenou hranatozrnitými nebo pohárkovými krystaly. V takové situaci se tvoří tvrdé, křehké sněhové desky, které jsou velmi dlouho náchylné k narušení. [62] Dobře vysněžená území vedle málo vysněžených – v místech na jejich rozhraní často dochází k uvolnění deskových lavin. Na místech, kde leží málo sněhu (vyvýšeniny, pokryté balvany, okraje žlebů a dolíků atp. bývá struktura sněhové pokrývky obvykle méně příznivá, než na sousedních územích se sněhovou pokrývkou vyšší. Je to dáno intenzivnější metamorfózou uvnitř sněhové pokrývky. Kritické sněhové vrstvy zde také mohou být blíže k povrchu, a stačí tak menší dodatečné zatížení na uvolnění laviny. [63] Zasněžená povrchová jinovatka je jednou z nejproblematičtějších kritických vrstev. Povrchová jinovatka vzniká za nízkých teplot a velmi malého proudění vzduchu (typicky jasné noci) na povrchu sněhové pokrývky vlivem radiačního ochlazování díky vyzařování dlouhovlnného záření ze sněhové pokrývky. Na povrchu sněhové pokrývky tím vzniká silná teplotní inverze a dochází k  depozici ve vzduchu obsažené vodní páry na sněhová zrnka na povrchu a tedy vzniku povrchové jinovatky. Důležitou roli zde hraje také mikroklima – k efektu dochází často u potoků (zdroj vlhkosti) na lesních mýtinách (sníh se zde ochladí výrazněji než v okolním lese, který je zdrojem vlhkosti) nebo vlivem tzv. Niggova efektu na závětrné straně hřebene v jeho těsné blízkosti (relativně teplý, vlhký vzduch přetéká přes hřeben, na jehož druhé straně je podchlazený sníh. Samotná povrchová jinovatka není rizikem, rizikem se stává ve chvíli, kdy je zasněžena další sněhovou vrstvou. V tu chvíli se díky své anizotropii [p 4] stává „ideální“ kritickou vrstvou. Toto nebezpečí je v terénu velmi obtížně rozpoznatelné. [65] 66] Zasněžené krupky mají díky svému kulatému tvaru a relativně velké velikosti zrn jen velmi malou soudržnost. Pokud jsou zasněžené nebo převáté, s napadlým sněhem se nespojí a stávají se kritickou vrstvou. Často se vyskytují jen na malém území a nebezpečí je tedy nesnadno rozpoznatelné. Vyskytují se nejčastěji v jarním období s intenzivnějšími přeháňkami způsobenými konvekcí (větší pravděpodobnost krupek) a jejich nebezpečí zpravidla netrvá dlouho. [67] Jarní situace je spojená s tavnou přeměnou a výskytem mokrého sněhu. Typická je zde značná časová proměnlivost – zatímco ráno bývají v jarních měsících podmínky zcela stabilní a sníh zmrzlý na tvrdý firn, v odpoledních hodinách může v promoklém sněhu docházet ke vzniku četných spontánních lavin. Velkou roli zde hraje komplexní souhra teploty a vlhkosti vzduchu, slunečního záření a větru, spolu se strukturou staré sněhové pokrývky. [68] Lavinové situace jdou obvykle poměrně snadno přiřadit k lavinovému faktoru, případně modelu lavinového nebezpečí. V průběhu sezóny však často nastává hned několik faktorů a modelů současně, z nichž zpravidla jeden je dominantní. [69] Laviny a člověk [ editovat, editovat zdroj] Úmrtí v lavinách ve Švýcarsku mezi lety 1936 a 2019. Modře úmrtí ve volném terénu, červeně úmrtí při freeridingu, žlutě úmrtí v budovách, zeleně úmrtí na dopravních koridorech. Laviny představují vážné nebezpečí především v horských oblastech, kde je jak dostatek strmých svahů, tak dostatečná mohutnost sněhové pokrývky. Laviny představují hrozbu jak pro lidský život či zdraví, tak pro lidmi vytvořenou infrastrukturu. Například ve Švýcarsku bylo mezi lety 1970 a 2010 v rámci lavinové databáze zaznamenáno 8130 lavin, z nichž 2239 bylo s lidskou účastí. V těchto lavinách bylo zachyceno celkem 4619 osob a z nich 898 osob v lavinách zemřelo. Více jak 90% obětí zemřelo při rekreačních aktivitách ve volném terénu. [70] Ve Spojených státech amerických mezi lety 1950 a 1994 zemřelo v 324 smrtelných lavinách celkem 440 lidí. Mezi oběťmi byli nejčastěji horolezci (25, 5. skialpinisté (22, 7% a lyžaři lyžující ve volném terénu v těsné blízkosti hranic lyžařských areálů (10. 71] Nejvíce obětí lavinových neštěstí ve Spojených státech amerických připadá na stát Colorado, kde převládá kontinentální sněhové klima vhodné pro přetrvávající vrstvy nesoudržného sněhu. [72] V  Rakousku zemřelo v lavinách mezi lety 1997 a 2017 celkem 500 osob, více než polovina z nich ve spolkové zemi Tyrolsko. V zimní sezóně 2016/2017 bylo v Rakousku ve 145 lavinových událostech registrováno 375 zúčastněných osob, 40 osob bylo lavinou přímo zasaženo a při 19 smrtelných lavinových událostech zemřelo 25 osob. Všechna smrtelná lavinová neštěstí v Rakousku se v dané sezóně odehrála na svazích strmějších než 35, většina se jich odehrála v severní nebo severovýchodní expozici, mezi 2000 a 2500 metry nadmořské výšky a při stupni lavinového nebezpečí 2 nebo 3. [73] Varování před lavinovým terénem v rakouských Alpách Varování před lavinovým terénem ve Velkém Kotli v Jeseníkách Video vysvětlující faktory brané v úvahu při přípravě lyžařského výletu v oblastech ohrožovaných lavinami (anglicky) V  Alpách jako celku zemře ročně v lavinách v průměru 103 osob, přičemž sezónní čísla kolísají od 54 do 179 osob. Přes velké mezisezónní výkyvy v počtu lavinových obětí zůstává v průběhu let průměrný počet obětí relativně stabilní, úmrtnost v lavinách ani neroste, ani neklesá. V průběhu let se mezi oběťmi snižuje podíl i počet osob zemřelých v kontrolovaném terénu (sídla, budovy, dopravní infrastruktura) a zvyšuje podíl osob zemřelých ve volném terénu. V 60. a 70. letech rostl i celkový počet obětí zemřelých ve volném terénu, ten se však od pozdních 70. let stabilizoval. Přitom počet osob pohybujících se v Alpách ve volném terénu neustále narůstá. Snižující se relativní četnost lavinových událostí je vysvětlována pokrokem na poli lavinové bezpečnosti, zejména rozvojem lavinových vyhledávačů. Nezastupitelnou roli má i zlepšování lavinové předpovědi a její dostupnosti a zlepšující se informovanost osob pohybujících se v lavinovém terénu. [74] Na rozdíl od Alp ve Spojených státech amerických počet obětí lavinových situací rok od roku mírně roste. [71] Laviny extrémních rozměrů mohou způsobit zničení rozsáhlých ploch lesa, a pokud jim stojí v cestě, též různých lidských konstrukcí, silnic a budov. Např. 8. března 1956 spadly v  Nízkých Tatrách dvě obrovské laviny. Větší z nich měla objem přibližně 1, 6 milionu metrů krychlových sněhu, vážila 380 000 tun a její dráha měřila 3500 m. Ve srubu, který stál v cestě laviny, zemřelo 16 z devatenácti dělníků. [75] Lavinová předpověď [ editovat, editovat zdroj] Pro potřeby ochrany obyvatelstva před lavinami bývá nebezpečí předpovídáno. K vypracování lavinové předpovědi se užívá široké škály informačních zdrojů, jako jsou údaje ze sněhoměrných a meteorologických stanic, výsledky terénních testů sněhové stability, přímá pozorování lavinové činnosti, aj. Datové zdroje pro lavinovou předpověď jsou obecně trojího druhu: 1) přímá pozorování sněhové instability, jako je pozorování lavin, praskání ve sněhu a vznik sněhových trhlin, nebo výsledky testů sněhové stability, 2) data o charakteru sněhové pokrývky, jako je její výška, předchozí lavinová aktivita v lokalitě, případné změny sněhu v lokalitě způsobené lidskou činností (např. lyžování) a zejména vnitřní struktura sněhové pokrývky zahrnující vrstvení sněhu, hustotu, druh sněhových krystalů, teplotu či obsah vody v jednotlivých vrstvách a 3) meteorologické faktory, jako je množství nového sněhu a intenzita sněžení, rychlost a směr větru, teplota, vzdušná vlhkost, sluneční záření a podmínky na povrchu sněhu. Nejpříměji vypovídají o lavinovém nebezpečí přímá pozorování sněhové instability a naopak vztah meteorologických faktorů je nejvolnější. V lokální, případně mezoměřítkové lavinové předpovědi (např. předpověď pro konkrétní svah nad ohroženou silnicí, příp. předpověď pro konkrétní lyžařské středisko) je tedy největší důraz kladen na informace první skupiny. Pro lavinovou předpověď na větších územích, jako jsou horské masivy, je však naopak největší využití u meteorologických dat, která nabízejí kontinuální měření a plošné pokrytí celé oblasti. [76] Kolébkou předpovídání lavinového nebezpečí jsou alpské země, USA a Kanada. Například ve Švýcarsku je míra ohrožení lavinami předpovídána již od roku 1945. [77] Evropské předpovědní služby jsou sdruženy do Asociace evropských lavinových služeb (EAWS. V Evropě bývá lavinová předpověď vydávána kromě všech alpských zemích také ve Španělsku, Andoře, Velké Británii, Česku, Slovensku, Polsku, Rumunsku, Finsku, Norsku a na Islandu. [78] V Česku vydává lavinovou předpověď horská služba pro Jeseníky a Krkonoše. [79] Stupnice lavinového nebezpečí [ editovat, editovat zdroj] Do roku 1993 používala každá předpovědní služba svou vlastní stupnici lavinového nebezpečí. Až v dubnu 1993 byla dohodnuta jednotná pětidílná stupnice lavinového nebezpečí, adaptovaná od té doby na celém světě. Označení jednotlivých stupňů je číselné, slovní, barevné a pomocí ikon. [80] Stupeň nebezpečí ikona Stabilita sněhové pokrývky Pravděpodobnost uvolnění laviny 5 Velmi vysoké Sněhová pokrývka je všeobecně slabě zpevněná a velmi nestabilní Očekává se samovolný sesuv mnoha velkých a často i velmi velkých lavin, a to dokonce i v mírně strmém terénu 4 Vysoké Sněhová pokrývka je na většině strmých svahů slabě zpevněna Uvolnění lavin je možné již při malém dodatečném zatížení na mnoha strmých svazích. V některých případech se dá očekávat samovolný sesuv mnoha lavin středních a často i velkých rozměrů 3 Značné Mnohé strmé svahy jsou pouze středně až slabě zpevněny K uvolnění laviny může dojít již při malém dodatečném zatížení, obzvlášť na v předpovědi uvedených strmých svazích. Ojediněle možný samovolný sesuv lavin středních, výjimečně i velkých rozměrů 2 Mírné Pouze některé strmé svahy vykazují jen střední stabilitu, jinak je sněhová pokrývka vcelku dobře zpevněna Uvolnění lavin je možné obzvláště při velkém dodatečném zatížení, a to především na v lavinové předpovědi uvedených strmých svazích. Velké samovolné laviny jsou nepravděpodobné. 1 Nízké Sněhová pokrývka je obecně dobře zpevněna a stabilní Uvolnění lavin je obecně možné jen při velkém dodatečném zatížení na ojedinělých místech velmi strmého, extrémního terénu. Samovolně může dojít k sesuvu splazů a lavin malých rozměrů. Bavorská matice pro určení stupně lavinového nebezpečí na základě tří proměnných Termíny uvedené ve stupnici jsou dále popsány: Mírně strmý terén zahrnuje svahy mírnější než 30, strmé svahy jsou svahy strmější než 30 a velmi strmý, extrémní terén zahrnuje svahy o strmosti nad 40. Malé dodatečné zatížení znamená zatížení jednotlivým lyžařem/snowboardistou jedoucím zlehka, bez pádu, nebo osobou na sněžnicích, nebo skupinou osob s neustále dodržovanými rozestupy minimálně 10 metrů. Velké dodatečné zatížení znamená zatížení skupinou dvou a více lyžařů/snowboardistů bez rozestupů, rolbou, skútrem, čtyřkolkou, výbuchem, či jednotlivým pěším turistou/horolezcem. [81] 82] Samotné určení stupně lavinového nebezpečí je prováděno pomocí tzv. Bavorské matice, která pro určení stupně lavinového nebezpečí posuzuje tyto souvislosti: rozsah nebezpečných míst, pravděpodobnost uvolnění laviny a možnost uvolnění samovolných lavin. [83] 84] Podoba výstupu lavinové předpovědi – lavinového bulletinu – přes snahu o standardizaci není zatím v různých státech provádějících lavinovou předpověď jednotná. Předpovědní služby sdružené do EAWS se nicméně dohodly na jednotné struktuře lavinového bulletinu. Ten by měl vycházet v průběhu zimní sezóny pravidelně (zpravidla jednou denně, v některých zemích i 2× za den) 85] a jeho obsah by měl být strukturován v následujícím pořadí: 86] stupeň lavinového nebezpečí jakožto nejdůležitější, ale zároveň nejobecnější informace zvlášť ohrožená místa vymezená dle expozice a nadmořské výšky převládající typ lavinové situace slovní popis nebezpečí další informace o sněhové pokrývce nebo počasí měřená data (sněhoměrných či meteorologických stanic) Lavinové bulletiny jsou vydávány pro oblasti o rozloze alespoň 100 km 2, typicky pro horské masivy. [87] Informace v nich obsažené jsou tedy obecného charakteru, a vytvářejí pouze obecný základ pro posouzení lavinové situace v konkrétní lokalitě. Správně posoudit nebezpečí na konkrétním svahu pouze na základě takovéto obecné lavinové prognózy nelze. Rozhodovací procedury při pohybu ve volném, potenciálně lavinovém terénu musí zahrnovat i pozorování příslušná dané lokalitě (skladba sněhové pokrývky, testy stability sněhu, varovné signály jako trhliny ve sněhu či „vumm“ zvuky) a vyžadují jak teoretické znalosti lavinové problematiky, tak zkušenost pozorovatele. [88] 45] Testování stability sněhu [ editovat, editovat zdroj] Příprava kompresního testu Pro posouzení možnosti či pravděpodobnosti vzniku lavin, ať už pro formalizovanou lavinovou předpověď nebo operativně při pohybu v lavinovém terénu, je posuzováno velké množství různorodých datových zdrojů. Velmi žádané jsou a velkou výpovědní hodnotu mají data přímo zachycující nestabilitu ve sněhové pokrývce, která zapříčiňuje a umožňuje vnik laviny. Jedním z mála způsobů, jak tyto data pořídit a přímo zhodnotit danou instabilitu, je testování stability sněhu. To v sobě v širším pojetí zahrnuje pokusné uvolnění laviny lyžováním nebo explozí výbušnin, v užším pojetí jde o standardizované testovací procedury založené na zatěžování nebo jiném rozrušování izolovaného bloku sněhu. Testování stability sněhu však obecně hovoří přímo pouze o lokalitě (svahu, odlučné zóně laviny) kde bylo vykonáváno. Z toho vyplývá obecný problém volby reprezentativní, ale zároveň dostatečně bezpečné lokality, kde test provádět. Zároveň je třeba mít na vědomí, že je to vlastně nestabilita, nikoli stabilita, která je testováním zjišťována [p 5] a že tedy jedině instabilitu lze testováním odhalit. Z toho vyplývá, že pokud je instabilita identifikována, lze daný svah považovat za nebezpečný z hlediska vzniku lavin, nicméně pokud instabilita identifikována není, výsledek testu je neprůkazný a nelze daný svah považovat za stoprocentně bezpečný. [89] Testování stability lyžováním poskytuje přímý údaj o nebezpečí daného svahu nebo svahu odpovídajícího při lyžování ve volném terénu. Testující se snaží uvolnit instabilitu ve sněhu podřepy, výskoky, oblouky. Testovat lze samozřejmě jen svahy, kde nehrozí riziko vzniku laviny dostatečně velké, aby byla schopna zranit či zabít člověka. Nicméně i tak je třeba dodržovat bezpečnostní pravidla, zejména aby na testujícího dohlížel pozorovatel mimo inkriminovaný svah. Při lyžování ve volném terénu lze obvykle najít množství krátkých, strmých sjezdů, které poskytují příležitost k otestování stability sněhové pokrývky. Výbušniny jsou obvykle užívány k včasnému uvolňování lavin při prevenci velkých, destruktivních lavin, nicméně mohou být využity i pro posuzování stability sněhu, zejména na svazích s nebezpečným nebo problematickým přístupem. Uvolnění laviny výbuchem značí špatnou nebo průměrnou stabilitu sněhu, vznik kráteru s trhlinami kolem stále naznačuje určitou nestabilitu ve sněhu, kráter bez trhlin naznačuje stabilní sníh. [90] Standardizovaných testů stability sněhu existuje celá řada. [91] 92] Mezi nejčastěji operativně prováděné a v literatuře nejvíce diskutované testy stability sněhu patří kompresní test (z anglického Compression test, zkratka CT) test klouzavého bloku (z německého Rutschblocktest, zkratka RB) test rozšířeného sloupce (z anglického Extended Column Test, zkratka ECT) a Propagation Saw Test (zkratka PST. Jednotlivé testy se liší svou časovou náročností, vhodností použití, limity a charakterem informace, kterou jsou schopné poskytnout. Obecně mohou tyto testy poskytnout informaci o množství energie potřebné k uvolnění instability (kompresní test, test klouzavého bloku, test rozšířeného sloupce) a informaci o schopnosti sněhové pokrývky šířit takto uvolněnou instabilitu (Propagation Saw Test, test rozšířeného sloupce. Kompresní test a test klouzavého bloku jen částečně a jen při vyhodnocení informace o typu lomu. Nicméně hodnocení stability svahu by nikdy nemělo být činěno na základě jediného (jakéhokoli) testu stability bez zahrnutí všech dalších dostupných informací o případné nestabilitě. [93] 94] Lavinová ochrana [ editovat, editovat zdroj] Sněžné zábrany na lavinovém svahu v Rakousku Hráz proti lavinám a murám, Mühlau Horské masivy jsou odpradávna obývány lidmi, a toto osídlení se vždy dostávalo do konfliktu s lavinovou aktivitou. V  Alpách jsou známy snahy snížit riziko lavin pro osoby a stavební objekty již od čtrnáctého století. Ve dvacátém století snahy o ochranu sídel a transportních koridorů výrazně zesílily. [74] Snaha zabránit lavinovým škodám může mít podobu snahy zcela předejít vzniku ohrožujících lavin, či zcela zabránit možnosti těchto lavin působit škody, v takovém případě lze hovořit o lavinové prevenci, nebo podobu snahy takové škody zmírnit, a v takovém případě lze hovořit o lavinové mitigaci. Souhrnným termínem je pak v českém kontextu lavinová ochrana. [95] Lavinová galerie na silnici v Japonsku Prvky lavinové ochrany lze rozdělit na prvky aktivní a pasivní, a dále na prvky dočasné a trvalé. Mezi aktivní dočasné prvky patří uvolňování lavin výbušninami, akutní uzavírky silnic nebo předběžné evakuace. Mezi pasivní dočasné prvky patří například lavinová předpověď a varování, sezónní uzavírky silnic nebo varovné cedule. Mezi trvalé aktivní prvky patří například sněžné zábrany a ploty, lavinové galerie, záchytné hráze a valy, zesílené a přizpůsobené struktury staveb, či zalesňování lavinových drah a prvky managementu lesa. Klíčovým prvkem pasivní trvalé ochrany před lavinami je mapování jejich rizika, vytváření lavinových katastrů a územní plánování v dotčených oblastech. [96] Při určování adekvátních opatření se pracuje s analýzou rizik, vycházející mimo jiné z  frekvence lavinových událostí v dané lokalitě, zranitelnosti posuzované lokality, míry akceptovatelného rizika, a nákladů daného opatření (finančních, sociálních, atd. 97] Lavinové vybavení a lavinová záchrana [ editovat, editovat zdroj] Lavinová lopata, sonda a vyhledávač dnes patří mezi základní vybavení při pohybu v lavinovém terénu. Čím dál víc se uplatňuje i užití lavinových batohů. Video popisující jak se chovat v případě lavinové nehody (anglicky) Lavinové vybavení dostálo v průběhu historie značných změn. Až do vynálezu lavinových vyhledávačů patřila k standardnímu vybavení tzv. lavinová šňůra – 20 až 30 metrů dlouhá, zhruba 3, 5 mm silná červeně zbarvená šňůra, kterou lyžaři tahali při lyžování v lavinovém terénu za sebou, a která měla usnadnit nalezení zasypaných tím, že byla určitá pravděpodobnost, že část šňůry zůstane viditelná na povrchu sněhu. Už Luis Trenker ale ve třicátých letech píše o „lyžařích, kteří se lavinovou šňůru stydí použít. “ [98] Lavinová šňůra byla později pro svou nepraktičnost a malou účinnost vytlačena lavinovými vyhledávači. [99] Revoluci v lavinovém vybavení pak znamenal vynález prvního funkčního lavinového vyhledávače v roce 1968, s komerčním prodejem od roku 1971. [100] Samotné lavinové vyhledávače od té doby prošly mohutným technologickým vývojem (počet a dosah antén, standardizace, analogový a digitální signál, funkce mark a možnost hledání více zasypaných apod. 101] Dnes patří k základnímu lavinovému vybavení lavinový vyhledávač, lavinová sonda a lavinová lopata. Jen kompletní a funkční lavinová výbava umožňuje rychlou a efektivní záchranu z laviny. [102] Standardem se pomalu stává i  lavinový batoh, fungující na principu rychlého nafouknutí airbagu (případně airbagů) po aktivaci lyžařem při zasažení lavinou. Díky tomu, že větší a méně husté částice plavou v  tekutině na povrchu, napomůže nafouknutí airbagu udržet lyžaře na povrchu laviny. K nadstandardnímu lavinovému vybavení patří například avalung, systém separující vdechovaný a vydechovaný vzduch v lavině. [103] Klíčovým prvkem lavinové záchrany je rychlost. Více jak 90% zasypaných totiž přežívá prvních 18 minut pod lavinou, naopak jen kolem 30% zasypaných v lavině přežívá déle než 35 minut. Většina zasypaných se mezi 18. a 35. minutou udusí. [p 6] Složky integrovaného záchranného systému však obvykle nejsou schopné dorazit na místo a nalézt zasypaného v prvních 18 minutách, proto je nejúčinnější okamžitá kamarádská pomoc. Pro tu je nutností kompletní lavinová výbava a znalost jejího správného používání (práce s vyhledávačem, sondování, efektivní vyhrabávání, následná první pomoc. Za tímto účelem je vypracována řada metodik. [105] 106] 107] Organizovaná záchrana přichází zpravidla až po fázi dušení a je tedy schopná zachránit jen zlomek zasypaných. [108] Nácvik lavinové záchrany Obecný postup záchrany je v hrubých rysech následující: V případě lavinové nehody je třeba pečlivě sledovat strženého nebo stržené a identifikovat místo, kde byl v lavině spatřen naposledy. Laviniště pod tímto místem pak tvoří prohledávanou oblast. [p 7] Vodítkem mohou být také části výstroje, které zůstaly na povrchu laviny. Následuje snaha o lokalizaci stržených prostřednictvím lavinových vyhledávačů. Její postup připomíná přistávací manévr letadla – nejprve je velmi rychle v pásech širokých 30 metrů prohledáváno laviniště, dokud není zachycen signál lavinového vyhledávače zasypaného. Poté je tento signál následován a s tím, jak se vyhledávající blíží k jeho zdroji, zpomaluje se jeho postup a on svůj lavinový vyhledávač přibližuje k povrchu sněhu. Přesná dohledávka pak probíhá s vyhledávačem těsně nad úrovní sněhu, kdy se pohybem do kříže vyhledávající snaží najít místo, kde jeho vyhledávač ukazuje nejmenší hodnoty vzdálenosti k lavinovému vyhledávači zasypaného. Toto místo je označeno a v tomto místě je také následně zapíchnuta první lavinová sonda. V případě, že tato není pozitivní (nenarazí na zasypaného) sonduje se dále ve směru spirály s rozestupy sond 25 cm. Pozitivní sonda se již nevytahuje. [109] 110] Vyhrabávání zasypaného je zahájeno z místa ve svahu pod sondou, které je od sondy vzdáleno zhruba 1, 5 násobně vůči hloubce zasypaného, kterou ukázala sonda. Pokud je tedy zasypaný v hloubce jednoho metru, je vyhrabávání zahájeno ve vzdálenosti jednoho a půl metru od sondy. Je to z toho důvodu, aby vykopávající svým pohybem neporušil případnou vzduchovou kapsu zasypaného. S tím, jak je výkop prohlubován, přibližuje se k sondě. [111] Po nalezení zasypaného jsou mu jako první uvolněny dýchací cesty a hrudník. Následuje první pomoc, u které je důležitá co nejšetrnější manipulace s postiženým. [112] 113] V případě, že zasypaný nebo zasypaní nemají lavinový vyhledávač, je laviniště prohledáváno rovnou sondováním. V takovém případě jsou sondující postaveni vedle sebe v linii, kdy vzdálenost mezi sondujícími je 75 cm a po každém vpichu sondy postupují o 70 cm kupředu. V případě, že je zachraňujících málo, užívá se tzv. metoda otevřeného sondování, kdy je vzdálenost mezi sondujícími dvojnásobná a každý z nich před postupem vpřed provádí dva vpichy (ve vzdálenosti 75 cm od sebe) případně tři vpichy (ve vzdálenosti 50 cm od sebe) 114. V případě že sondování se standardními rozestupy bylo vícekrát neúspěšné, a nalezení živého zasypaného nelze příliš očekávat, přistupuje se někdy k tzv. jemnému sondování, kde jsou vzdálenosti mezi vpichy jen 25 cm. V rámci organizované záchrany jsou také používáni speciálně vycvičení lavinoví psi. Ti jsou obvykle schopní identifikovat zasypaného během deseti minut za předpokladu, že jeho pach dosahuje povrchu sněhu (zejména v lavinách měkkého sněhu nebo v případě, že hloubka zasypání nepřesahuje dva metry. Problematické je jejich užití v případě hustého sněhu, větrného počasí, nebo když je povrch laviniště kontaminován jinými pachy. [115] Vliv lavin na přírodní prostředí [ editovat, editovat zdroj] Lavinami udržované bezlesí v Kotelních jámách v Krkonoších Laviny mají nezastupitelný význam ve vývoji horského reliéfu a ekosystémů. Základové laviny s sebou odnášejí velké množství zeminy a kamenů odtržených od skalního podloží a tím formují tvar lavinové dráhy. Laviny se také mohou podílet na vzniku a výživě ledovců (tzv. turkestánský typ ledovců, předpokládaný v dobách ledových i v  Dlouhém dole a Dole Bílého Labe. Laviny také odstraňují z lavinových svahů les a pomáhají udržet bezlesí a křovinaté porosty. Stromové porosty pak vytvářejí specifické lavinové formy, jako jsou tzv. křivolesy. Na místech lavinově vytvořeného bezlesí se daří světlomilným rostlinám, laviny tato místa obohacují také o minerální živiny, a tak se tyto tzv. botanické zahrádky vyznačují vysokou biodiverzitou. [116] Laviny v Česku [ editovat, editovat zdroj] Úpská jáma (vpravo) a Malá Studniční jáma (vlevo) v Krkonoších Kotelní jámy v Krkonoších Obecně hrozí laviny všude tam, kde je jednak dostatečná sněhová pokrývka, dále dostatečný sklon svahu. V minulosti jsou z území dnešního Česka zprávy o lavinách i v místech, kde se zřejmě již ve 21. století nevyskytují. Například první zaznamenaná lavina v  Krkonoších je z 15. února 1655 z vesnice Sklenářovice, kdy strhla dvě chalupy a zasypala 15 lidí, z nichž 7 zahynulo. [117] 118] Johannes Mathesius zase v 16. století informoval o  Klínovci jako o hoře, kde nebezpečné laviny ničí lesy, boří domy a berou životy. [119] V současnosti v Česku vykazují lavinovou aktivitu zejména Krkonoše, dále také Hrubý Jeseník a Králický Sněžník, ve kterých je vymezeno dohromady celkem 71 tradičních lavinových drah, 120] nicméně laviny, včetně tragických, jsou zaznamenávány i v  Beskydech, 121] 122] 123] a tři lavinové svahy jsou také na české straně Šumavy. [124] Krkonoše jsou v Česku jediným pohořím s rozsáhlou lavinovou aktivitou. Na české straně spadne během zimní sezóny přibližně 20 až 25 lavin, zhruba stejný počet jich spadne na straně polské. [125] Jejich přesný počet se liší z roku na rok v širokém rozpětí od 0 do 75 lavin v české části Krkonoš. [126] K hlavním lavinovým oblastem patří na české straně svahy Obřího dolu, Labského dolu, Kotelních jam, dolu Bílého Labe a Dlouhého dolu. [127] Plošně největší lavinová dráha v Krkonoších je tzv. Velká lavina, která vznikla dne 8. března 1956 na severovýchodním svahu Zlatého návrší. K odtržení laviny došlo v šíři 300 metrů a lavinová dráha byla dlouhá přes 1 kilometr. Lavina cestou doslova smetla starý smrkový porost a tlaková vlna vylámala smrky i v protisvahu. Lavinový nános byl vysoký 15 metrů a odtál až následující rok. Od roku 1956 zde k pádu laviny nedošlo a svah má pravděpodobně charakter tzv. stoleté lavinové dráhy s rozestupy mezi lavinovými událostmi v řádu desítek let. [128] Nejdelší lavinové dráhy Krkonoš jsou lavinová dráha Úpská rokle v Obřím dole se zaznamenanou délkou až 1400 metrů (také 8. března 1956) Malá Studniční jáma v Obřím dole s četnými lavinami délky až 1300 metrů a lavinová dráha Pramenný důl v Dlouhém dole s délkou až 1250 metrů. [129] 130] Jedno z plošně nejrozsáhlejších a nejdelších lavinových drah v Krkonoších je i lavinová dráha v  Modrém dole, počínající na Mapě republiky. Zde například 10. února 2015 došlo k uvolnění laviny s délkou 1125 metrů a šířkou odtrhu 546 metrů, která jen těsně minula chatu Děvín. [131] K soustavnému pozorování a zaznamenávání lavin dochází v Krkonoších již od roku 1956. [118] Lavinový svah ve Velkém kotli v Jeseníkách V Jeseníkách je vymezováno celkem 16 lavinových drah, a to v oblasti Malého a Velkého Kotle a Sněžné kotliny v Hrubém Jeseníku a na jižním svahu Králického Sněžníku. [132] Lavinová aktivita zde není tak četná, jako v Krkonoších, i když výskyt lavin je zde každoroční. Lavinový výzkum a preventivní opatření jsou zde prováděna až od roku 1969. [118] Odkazy [ editovat, editovat zdroj] Poznámky [ editovat, editovat zdroj] ↑ více informací v článku Sníh ↑ Viz klouzavý sníh v kapitole #Typické lavinové situace. ↑ a b c výstavbová přeměna (též růstová přeměna, konstruktivní metamorfóza) je takový typ přeměny sněhových zrn, kdy na nich dochází k  desublimaci ve sněhové pokrývce přítomné vodní páry. Sněhová zrna rostou, vznikají na nich rovné plošky s ostrými hranami (hranatozrnitý sníh) a posléze se proměňují až na pohárkové krystaly. Vzhledem k postupnému vzrůstu velikosti krystalů, k zanikání můstků mezi zrny, a v případě pohárkových krystalků také vzniku anizotropie, dochází ke snižování soudržnosti sněhové pokrývky. [56] 57] 58] Více informací v článku sníh. ↑ krystaly povrchové jinovatky mají velmi malou pevnost ve střihu, zatímco odolávají sesedání a spojování při vertikálním zatížení. [64] ↑ Správější název by tedy spíš byl testování nestability sněhu, což je však termín, který se v česky psané literatuře, na rozdíl od literatury zahraniční, prozatím nevyskytuje ↑ Celkově je příčinou smrti v lavině ze 75% udušení, v 10% podchlazenní, v 10% úraz a v 5% jiná příčina [104] ↑ V případě, že z nějakého důvodu není toto místo známo, je prohledáváno celé laviniště. Reference [ editovat, editovat zdroj] ↑ KOCIÁNOVÁ, Milena, et al. Laviny v Krkonoších. Vrchlabí: Správa KRNAP, 2013. 192 s. ISBN 978-80-86418-97-1. S. 16. Dále jen zkrácený název. ↑ MCCLUNG, David; SCHAERER, Peter. The avalanche handbook. Seattle, USA: Mountaineers Books, 2014. 344 s. ISBN 978-0-89886-809-8. S. 212. (anglicky) Dále jen zkrácený název. ↑ KOHOUTOVÁ, Kateřina. Laviny přírodě pomáhají. V Modrém dole v Krkonoších tento fenomén teď zkoumají. [online. Český rozhlas, 2015-05-27 [cit. 2019-12-06. Dostupné online. ↑ a b c REJZEK, Jiří. Český etymologický slovník. Voznice: LEDA, 2001, 2012. 752 s. ISBN 978-80-7335-296-7. Heslo Lavina, s. 334. ↑ a b c ROCH, André. Mechanism of Avalanche Release. Snow, Ice And Permafrost Research Establishment. 1956, s. 11. Dostupné online [cit. 2019-12-07. anglicky) ↑ McClung a Schaerer, str. 113 ↑ PODOLSKIY, Evgeny Andreevich; NISHIMURA, Kouichi; ABE, Osamu; CHERNOUS, Pavel A. Earthquake-induced snow avalanches: I. Historical case studies. Journal of Glaciology. 2010, roč. 56, čís. 197, s. 431–446. 279–296 ↑ McClung a Schaerer, str. 16–17) ↑ McClung a Schaerer, str. 106–107 ↑ McClung a Schaerer, str. 73–84 ↑ a b c d e f International Commission on Snow and Ice. Avalanche atlas: illustrated international avalanche classification. [s. l. Unesco, 1981. 267 s. Dostupné online. ISBN 92-3-001696-9. (anglicky, francouzsky, španělsky, rusky, německy) ↑ McClung a Schaerer, s. 87–88 ↑ a b c SCHWEIZER, Jürg; BARTELT, Perry; VAN HERWIJNEN, Alec. Snow Avalanches. In: HAEBERLI, Wilfried; WHITEMAN, Colin. Snow and Ice-related Hazards, Risks and Disastersd. Elsevier, 2014. ISBN 9780123948496. S. 395–436. 95–96 ↑ McClung a Schaerer, str. 90–91, 96–97 ↑ McClung a Schaerer, str. 95 ↑ McClung a Schaerer, str. 123–129 ↑ McClung a Schaefer, str. 73–107 ↑ McClung a Schaerer, str. 104–105 ↑ Kociánová et al., str. 16–17 ↑ McClung a Schaerer, str. 103–104 ↑ McClung a Schaerer, s. 328–329 ↑ SLF. Avalanche sizes [online. cit. 2018-11-06. anglicky) ↑ EAWS. European Avalanche Warnin Services [cit. 111–112 ↑ SCHWEIZER, J. JAMIESON, J. B. Snow cover properties for skier triggering of avalanches. Cold Regions Science and Technology. 2001, roč. 33, čís. 2-3, s. 207–221. DOI: 10. 1016/S0165-232X(01)00039-8. 112–113 ↑ McClung a Schaerer, str. 113–114 ↑ SLPHZS. Lavínová nehoda pod Motrogonom (Vihorlatské vrchy) 15. 1. 2017 [online. Stredisko lavínovej prevencie Horské záchranné služby, 2017-1-17 [cit. 2019-08-04. slovensky) ↑ McClung a Schaerer, str. 114–115 ↑ McClung a Schaerer, str. 115–116 ↑ Kociánová et al., str. 93–112 ↑ McClung a Schaerer, str. 193–194 ↑ a b EAWS. Glossary [online. EAWS [cit. 2019-08-03. vícejazyčně) ↑ SCHWEIZER, Jürg; LÜTSCHG, Martina. Characteristics of human-triggered avalanches. 2001, čís. 33, s. 147–162. (anglicky) ↑ Kociánová et al., str. 107–112 ↑ McClung a Schaerer, str. 95–98 ↑ McClung a Schaerer, str. 23–36, 203 ↑ McClung a Schaerer, str. 198–203 ↑ a b c d BULIČKA, Michal. Freeride, skitouring, skialpinismus, sněžnice. 3. rozšířené vydání. vyd. HUDY sport, 2012. 142 s. S. 38–46. Dále jen zkrácený název... ↑ McClung a Schaerer, str. 205–206 ↑ McClung a Schaerer, str. 36–40 a 206–208 ↑ McClung a Schaerer, str. 206 ↑ McClung a Schaerer, str. 21–23 ↑ MAIR, Rudi; NAIRZ, Patrick. Lavina. Praha: Alpy Praha, 2018. 231 s. ISBN 80-85613-48-4. S. 42–51. Dále jen zkrácený název. ↑ Mair a Narz, str. 47 ↑ Mair a Nairz, str. 14–41 ↑ Mair a Nairz, str. 52–65 ↑ Mair a Nairz, str. 66–81 ↑ Mair a Nairz, str. 82–97 ↑ Mair a Nairz, str. 124–126 ↑ Kociánová et al., str. 93–99 ↑ McClung a Schaerer, str. 52–68 ↑ Mair a Neirz, str. 98–113 ↑ Mair a Nairz, str. 114–133 ↑ Kociánová et al., str. 131 ↑ Mair a Nairz, str. 134–153 ↑ Mair a Nairz, str. 154–169 ↑ McClung a Schaerer, str. 51–52 ↑ McClung a Schaerer, str. 49–52 ↑ Mair a Nairz, str. 170–187 ↑ Mair a Nairz, str. 188–203 ↑ Mair a Nairz, str. 204–223 ↑ Mair a Nairz, str. 30–35 ↑ ZWEIFEL, Benjamin; TECHEL, Frank; BJÖRK, Christian. Who is involved in avalanche accidents. In: Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska. International Commission on Snow and Ice, 2012. S. 234–239. (anglicky) ↑ a b PAGE, Charles E. ATKINS, Dale; SHOCKLEY, Lee W. YARON, Michael. Avalanche deaths in the United States: a 45-year analysis. Wilderness and Environmental Medicine. Elsevier, 1999, roč. 10, čís. 3, s. 146–151. 61 ↑ RIEGLER, Andreas; ZENKL, Gernot. Saisonbericht der österreichischen Lawinenwarndienste 2016/17. Arbeitsgemeinschaft österreichischer Lawinenwarndienste, 2017. 252 s. S. 31–33. (německy) ↑ a b TECHEL, Frank; JARRY, Frédéric; KRONTHALER, Georg; MITTERER, Susanna; NAIRZ, Patrick; PAVŠEK, Miha; VALT, Mauro. Avalanche fatalities in the European Alps: long-term trends and statistics. Geographica Helvetica. Roč. 71, čís. 2, s. 147–159. 5194/gh-71-147-2016. (anglicky) ↑ VRBA, Miloš. V lavinách a vánicích. Vsetín: Altituda, 2003. ISBN 80-86743-01-2. ↑ McClung a Schaerer, str. 166–214 ↑ Kociánová et al., str. 122 ↑ European Avalanche Warning Services. Memorandum of understanding for the European Avalanche Warning Services (EAWS. EAWS, 2017. 70 s. Dostupné v archivu pořízeném dne 2019-08-06. (anglicky) ↑ Lavinová předpověď [online. Horská služba. Dostupné online. ↑ Kociánová et al., str. 122–123 ↑ European Avalanche Warning Services. Avalanche Danger Scale [online. vícejazyčně) ↑ Kociánová et al., str 123 ↑ European Avalanche Warning Services. EAWS matrix [online. anglicky, německy, italsky, francouzsky) ↑ Kociánová et al., str 122–124 ↑ Kociánová et al., str. 124 ↑ European Avalanche Warning Services. Information Pyramid [online. německy, italsky, anglicky) ↑ NAIRZ, Patrick. Results. Meeting of the Working Group of the European Avalanche Warning Services (WG EAWS) online. EAWS, 2010-06-11 [cit. 2018-11-07. 150–161 ↑ McClung a Schaerer, str. 166–174 ↑ McClung a Schaerer, str. 174–175 ↑ McClung a Schaerer, str. 175–181 ↑ Canadian Avalanche Association. Observation Guidelines and Recording Standards for Weather, Snowpack and Avalanches. Canadian Avalanche Association, 2014. 95 s. ISBN 0-9685856-3-9. (anglicky) Dále jen zkráceně. ↑ SCHWEIZER, Jürg; JAMIESON, Bruce. Snowpack tests for assessing snow-slope instability. Annals of Glaciology. 51, čís. 54, s. 187–194. 3189/172756410791386652. (anglicky) ↑ WINKLER, Kurt; SCHWEIZER, Jürg. Comparison of Different Snow Stability Tests Including the Extended Column Test. Proceedings of International Snow Science Workshop. 2008, s. 393–400. Dostupné online. ↑ SUDICKÝ, Petr. Přírodní katastrofy a environmentální hazardy – multimediální výuková příručka [online. Přírodovědecká fakulta Masarykovy univerzity, 2006 [cit. Dostupné online. ↑ McClung a Schaerer, str. 266–310 ↑ TRENKER, Luis. Berge im Schnee: Das Winterbuch. Berlín: Verlag von Th. Knaur Nachf., 1937. 136 s. (německy) ↑ DAWSON, Lou. Avalanche Cord — String of Life or Placebo of Sad Demise? online. 2017-09-14 [cit. (anglicky) ↑ DAWSON, Lou. Skadi – First Avalanche Rescue Transceiver "Beacon" online. 2013-08-09 [cit. (anglicky) ↑ BULIČKA, Michal. Lavinové vyhledávače – jak šel čas [online. 2016-11-07 [cit. Dostupné online. ↑ BULIČKA, Michal. Smysl má jen kompletní nouzové vybavení! online. 2015-10-12 [cit. Dostupné online. ↑ Bulička 2012, str. 28–29 ↑ Kociánová et al., str. 154 ↑ Bulička 2012, str. 120–139 ↑ Kociánová et al., str 152–181 ↑ McClung a Schaerer, str. 240–255 ↑ Kociánová et al., str. 162–164 ↑ EDGERLY, Bruce. The ABC's (and D) of Digging. 2010, s. 593–600. 2019-12-13. anglicky) ↑ Bulička 2012, str. 129 ↑ McClung a Schaerer, str. 261–263 ↑ Kociánová et al., str. 54–62 ↑ Kociánová et al., str. 66 ↑ a b c VRBA, Miloš; CHARVÁT, Jaromír. Historie výzkumu lavin v ČR [online. Horská služba [cit. 2019-08-06. Dostupné online. ↑ Mohykán Krušných hor [online. CzechTourism [cit. Dostupné online. ↑ Lavinové dráhy [online. Dostupné online. ↑; mr; dp. Lavina v Beskydech zabila mladíka. MAFRA, 2006-1-25 [cit. Dostupné online. ↑ POSPÍŠIL, Filip. Smrk – svědectví o lavině [online. 2006-02-01 [cit. Dostupné online. ↑ ČÁNOVÁ, Andrea; MIKULCOVÁ, Silvie; SVATOŠ, Michal; TICHÝ, F. Včerejší neštěstí v Beskydech může mít ještě dohru. Český Rozhlas, 2006-01-26 [cit. Dostupné online. ↑ KABÁTOVÁ, Michaela. Horská služba varuje: nevydávejte se do volného terénu. Tý [online. Empressa Media, 2009-02-21 [cit. 15 ↑ Databáze lavin [online. 16 ↑ Kociánová et al., str. 41 ↑ Modelování pádů lavin [online. 25–30 ↑ KOŘÍZEK, Viktor. Lavina v Modrém dole [online. Alpy 4000 [cit. Dostupné online. ↑ BLAHŮT, Jan; BALEK, Jan; KLIMEŠ, Jan. Mapa lavinového ohrožení v horských oblastech České republiky [online. Dostupné online. Literatura [ editovat, editovat zdroj] BULIČKA, Michal. 142 s. International Commission on Snow and Ice. (anglicky, francouzsky, španělsky, rusky, německy) KOCIÁNOVÁ, Milena, et al. ISBN 978-80-86418-97-1. MAIR, Rudi; NAIRZ, Patrick. ISBN 80-85613-48-4. MCCLUNG, David; SCHAERER, Peter. (anglicky) SCHWEIZER, Jürg; BARTELT, Perry; VAN HERWIJNEN, Alec. (anglicky) VRBA, Miloš; SPUSTA, Valerian. Lavinový katastr Krkonoš. In: Opera Corcontica 12. Praha: Správa Krkonošského národního parku ve Státním zemědělském nakladatelství, 1975. S. 65–90. Související články [ editovat, editovat zdroj] Sníh Svahový pohyb Externí odkazy [ editovat, editovat zdroj.

Do u use single-speed. Watch fort william downhill. Keep doing videos with a Baron! Toastorica. 나도 저렇게 되고 싶다 헿. Lavina is a town in Golden Valley County, Montana, United States. The population was 209 at the 2000 census. The town is situated on the north bank of the Musselshell River. Lavina is located at 4617′42″N 10856′23″W / 46. 295N 108. 93972W / 46. 295; 108. 93972 (46. 295130, 108. 939684. According to the United States Census Bureau, the town has a total area of 1. 0 square miles (2. 6 km²) all of it land.

3:27 'de kahka atanlar :D. Favorite SkatE Brand now. 2020 asking, is Ben still alive? O. Downhill watch dogs. İzlediğin Nadir Kanallardan Birisi ❤. The music makes it so much better. 0:54 joseph fookin seed. Lavina – hósuvadás. A lavina (hósuvadás) hegyoldalról egyensúlyvesztés miatt leomló hótömeg. Feltételek [ szerkesztés] Hólejtő: 25 – 50 közötti lejtésű Kedvezőtlen hórétegződés, a hóban csúszóréteg van, vagy a hó rossz kötődése az altalajhoz) Terhelés növekedés (például új hó, hólerakás (hófúvásból) eső) Kiváltó okok [ szerkesztés] Természetes [ szerkesztés] Huzamos meleg időjárás (a hóréteg megroskadása, az olvadó hólé csorgása a felmelegedett talajon, a hóréteg talajhoz kötődése megszűnik – alaplavina) Hosszú, nagy hideg (úszó hó képződés) Erős szél (hólerakás) Hirtelen felmelegedés Nagy hóréteg vastagság Nagy újhómennyiség (30 cm-nél nagyobb)vagy a hóréteget elnehezítő esőzés Mesterséges [ szerkesztés] robbantásokkal elindított lavinák sízők, hegymászók által akaratlan elindított lavinák Lavinabalesetek [ szerkesztés] Ausztriában a lavinabalesetek 78% a pályán kívüli sízőket vagy sítúrázókat éri. A balesetek 94% át olyan hólavinák okozzák, amelyeket sízők, vagy hegymászók maguk- vagy közvetlen környezetükben levő okoz. Az Alpokban az elmúlt 100 évben évente átlagosan 100 ember vesztette életét lavinabaleset által. Kanadában a motoros szánok használatának következtében a közlekedés nagyobb súllyal szerepel a statisztikákban. Karbantartott sípályák [ szerkesztés] A sípályák üzemeltetője köteles a sípályákat karban tartani, folyamatosan ellenőrizni, lavinaveszély esetén lezárni a pályákat. A kötelezettségek a kapcsolódó síutakra is kiterjednek, de a kapcsolódó szabad síterepekre nem! Sípályák fölötti mélyhavas területeken nem szabad mélyhósízést kezdeni, mert a pályán sízőket veszélyeztethetjük vele. Erre a sípályák kezelője táblákkal (taxis tábla) figyelmeztethet, illetve lezárhatja ezeket a területeket. Lavinaveszély felismerése [ szerkesztés] A lavinahalál elkerülésének egyetlen hatékony módja a síelő vagy túrázó általi megelőzés! Mielőtt a kijelölt és biztosított sípályáról- vagy turistaútról letérnénk meg kell ismerjük a tájat, hóviszonyokat, legutóbbi időjárást, szél tevékenységét. A hótakaró egyensúlyvesztésének mérlegelésében ne csak arra gondoljunk, hogy puszta súlyunkkal megbonthatjuk a hó egyensúlyi állapotát, hanem arra is, hogy egy síző vagy túrázó "perforálja" a felszíni hóréteget, ezzel megszüntethet egy stabilizáló erőt vagy hatást. Tavaszi időszakban általában a korai túra indulás javasolható, amikor stabil, fagyott havon haladhatunk, és nyomainkkal sem vágjuk át a hótakarót. A hómentes (nyári) terep ismerete nagy segítséget nyújt. A sima füves lejtők jó csúszóréteget képeznek (alaplavina) míg a durva kőtömbökkel szabdalt lejtők jól tartják a havat. A törpefenyők csak akkor védenek, ha nem teljesen havazódnak be. Erdőhatár fölötti facsoportok lavinabiztos pontnak tekinthetőek, azonban a ritka, aljnövényzet nélküli erdők csalókák lehetnek! A lejtők tagoltsága általában csökkenti a lavinaveszélyt, azonban növeli a hórétegben képződő húzó- és nyomófeszültségeket. A területet jól ismerő, tapasztalt helyiektől tájékozódjunk (hegyi vezetők, síiskolai oktatók, menedékházi személyzet, erdészek, hegyi mentő szolgálat. Figyeljük a lavinaveszély jelző szolgálat területre vonatkozó jelentését és az időjárás előrejelzést. Határozzuk meg pontosan a hóprofilt rétegződés, rétegek vastagsága (szilárdság szerint, csúszóréteg szerint lapátpróba, csúszóék – csúszótömb próba) vegyük figyelembe a tiltó és figyelmeztető táblákat! A hótakaró különböző vastagságú, különböző állapotú különböző szemcséjű rétegekből áll. A hótakaró rétegződés szerinti vizsgálatát hóprofil meghatározásnak nevezzük. A hóprofil meghatározáshoz a hóréteg teljes keresztmetszetén leásunk. Megvizsgáljuk a rétegeket, és a rétegek egymáshoz való kötődését, a rétegek vastagságát, szilárdságát. (segédeszközeink: nagyító, kézi mikroszkóp, különböző raszterek, szilárdság méréséhez való segédeszközök) A rétegek elmozdulásának vizsgálata is végrehajtandó túra előtt. Kiásott, és lapáttal vagy zsinórral körbevágott hótábla elmozdításához szükséges erőt mérjük, vagy becsüljük. Kisebb minta esetén lapát próbát, nagyobb minta esetén csúszóék próbát, csúszótömb próbát végezhetünk. Lavina előrejelzés [ szerkesztés] Európában a lavina előrejelzést 2003-ban egységesítették, a lavinára való hajlamot 5 fokozatba sorolták. Fokozat Hó stabilitás Tábla vagy zászló Lavinára való hajlam 1 - Alacsony (zöld) A hótakaró erőskötésű és stabil. Felületi csuszamlások csak nagy terhelésnél, és kis kiterjedésben lehetségesek. Általában biztosítottak a túralehetőségek. 2 - Mérsékelt (sárga) A hótakaró néhány lejtőn közepes kötöttségű, de általában stabil. Lavinára a helyi veszélyhelyzetek figyelembevételével, és ott számíthatunk, ahol az rendszeresen előfordul. A hótakaró a szokásos elővigyázatossággal sítúrákra, magashegyi túrákra nem jelent különleges veszélyt. 3 - Közepes (narancs) A hótakaró kissé gyenge kötésű, helyenként instabillá válhat. A hótakaró megcsúszása kis terhelésnél az előre jelzett lejtőkön lehetséges, esetenként néhány közepes, szórványosan néhány nagyobb spontán lavina is előfordul. A túrázás nagy tapasztalatot követel a lavinák ismerete terén, a túralehetőségek erősen korlátozottak. 4 - Magas (piros) A hótakaró a legtöbb lejtőn gyenge kötöttségű. Hócsuszamlás már kis terhelésnél, számos lejtőn valószínű, Sok közepes és több nagyobb spontán lavina is várható. A túralehetőségek nagyon erősen korlátozottak, és nagyon nagy tapasztalatot követelnek. 5 - Nagyon magas (vörös) A hóréteg általánosan gyenge kötésű és instabil Általános lavinaveszély van, számos nagyobb spontán lavina alakulhat ki már közepes meredekségű lejtőn is. Sítúrák általában nem lehetségesek. Az alpesi országokban az időjárás jelentés része a lavinaveszély ismertetése. A lavinabalesetek 54% a 3-as (közepes) veszélyességi foknál következik be, amelyet nem veszünk elég komolyan! A helyi korlátozásokat – egyes hólejtőkön vagy sípályák mellett – szintén a fenti táblákkal – általában a taxis táblákkal – jelzik. Lavinát kiváltó hatások [ szerkesztés] A meleg hatása [ szerkesztés] Az új hó kötődését segíti a meleg, azonban a túlzott meleg a felépülő átalakulásokat lehetetlenné teszi, ezért a hótakaró stabilitása csökken. A szél hatása [ szerkesztés] A hótakaró egyenetlenül képződik a szél felőli és szél alatti oldalon. Míg a szél a szél felőli oldalról a havat elhordja, a szél alatti oldalon lerakja. A szél a meglevő hófelületet "lesimítja" így az új réteg kötődése jóval gyengébb lesz. Így szeles idő után a hó felszíne csúszófelületet képez. Egy alpesi mondás szerint a "szél a lavinák építőmestere. A terep [ szerkesztés] Lavinaveszéllyel 18-60 meredekségű terepen kell számolnunk, de a lavinák kialakulásának zónája jellemzően a 25 – 40 közötti hólejtő. Az ennél laposabb terepen stabil a hótakaró, a meredekebb terep pedig általában kisebb adagokban megszabadul a rárakódott hótól. A hótakaró mozgása [ szerkesztés] A látszólag mozdulatlan hótakaró is mozgásban van. A hótakaró mozgását „kúszás”-nak nevezzük. Domború terepen a hóban húzófeszültség (haránt irányú repedések) míg a homorulatokon nyomófeszültség hatására tömörödik a hótakaró. A hóvastagság csökkenését ülepedésnek nevezzük. A hótakaró kúszása és ülepedése egyszerre zajlik le. A hótakaró egyensúlyvesztése miatti hirtelen mozgást nevezzük lavinának. Az egyensúlyvesztés a csúszóréteg és a hótakaró tulajdonságai szerint különbözőképpen jön létre: Táblalavina -jellemzően: a föltöredező hótáblák megcsúsznak az alattuk levő csúszórétegen Laza hósuvadás, nedves hó 15–20 m/s (kb. 70 km/h) Laza hósuvadás száraz hó 30–40 m/s (kb. 140 km/h) Porhólavina 60–80 m/s (kb. 280 km/h, erős turbulenciával: lökéshullám és szívóhatás folytán brutális rombolás jellemzi) A lavina alatti nyomás a 20 t/m²-t is elérheti. Az 50 m-nél kisebb elmozdulásokat a német szakirodalom csak "hó-csúszásnak" tekinti. Ezek jellemzésére találó a magyar szakirodalomban korábban, a lavinákra általánosságban használt hósúvadás kifejezés. Magatartás lavinaveszélyben [ szerkesztés] Biztosított útról, pályáról való letérésnél a csoport minden tagja kapcsolja be és akassza a nyakába a lavina-jeladót (egyéb elnevezések: avalanche transceiver, arva, pieps, beeper, csipogó. Mindenki tudatában kell legyen annak, hogy a korábbiaktól eltérő terepszakaszra érkezett. Télen egyedül soha se menjünk az ellenőrzött utakat elhagyó túrára. Az összes készüléket állítsuk adásra az egész túra idejére. Lavinaveszélyes helyen a síoktató vagy túravezető távolságtartást vagy egyenkénti áthaladást rendelhet el. A térköz növelésének célja, hogy egyszerre a csoportnak csak egy tagja tartózkodjon lavinaveszélyes területen. Helyes térkihasználás – útvonal választás. A hegyhátakat, gerinceket, domborulatokat, használjuk ki, kerüljük a vályúkat, mélyedéseket. A harántolásokat, lejtőkeresztezést általában kerüljük, próbáljuk a laposodásokon, vagy a lejtő fölső 2/3–ánál áthaladni, ha mégis rákényszerülünk és semmiképpen ne a lejtő lábánál keresztezzünk. Gyülekezőhelyek teljesen lavinabiztosak legyenek: ormok, hegyfokok, sík terepek, gerincek. Lavinaveszélyes helyen síelve vagy túrázva mindig legyünk készen, mit kell tennünk, menekülési utakon is gondolkodhatunk, sose érjen meglepetésként a lavina lezúdulása. Oldjuk a bokaszalagot, a hátizsák övét, és bújjunk ki a síbot csuklószíjából is. A ruházatunkat zárjuk. Magatartás lavinában [ szerkesztés] Ha társaságban vagyunk, kiáltsunk, ha észleljük, hogy alattunk a hóréteg megindul, vagy ha belekerülünk egy lavinába. Társaink figyelmét felhívjuk ezzel, és pontosabban meg tudják figyelni, hogy hol kerültünk lavinába, hol látnak utoljára. Nagy segítség számukra a keresési terület meghatározásában. Ha van esély rá, hogy kicsússzunk a lavinából, meg kell próbálnunk, ha nincs esélyünk rá, egy pillanat alatt meg kell szabadulnunk mindentől, ami hátráltat, hátizsáktól, sítől. A síbot segítségével próbálhatunk menekülni, vagy szabaduljunk meg attól is. Minden eszközzel próbáljunk meg a lavina felszínén maradni, és a lavina széle felé küzdjük magunkat (leugrásokkal, gurulásokkal, úszó mozdulatokkal stb. Amikor a hótömeg sodrába kerülünk, ökölbe szorított kezünket húzzuk az arcunk elé (ez levegőt biztosít) kuporodjunk össze, amennyire lehet (összekuporodva valószínűbb, hogy a hótömegben magasabban maradunk, nem húz le az omlás az aljára. Minden fölösleges eszköz (sí, hátizsák) horgonyként az omlás aljára húzhat. Az omlás érezhető megállása előtt tegyünk egy utolsó gyors kijutási kísérletet. Vegyünk mély levegőt! Ez később biztosíthatja a mellkas szabad mozgását. Ha megállapodott az omlás, állapítsuk meg helyzetünket, merre van fel – és le. A kicsurgó folyadék (nyál) megadja az irányt. Ha nem vagyunk mélyen betemetve, megpróbálhatjuk kimenteni magunkat, de ha nem sikerül, fölöslegesen ne fogyasszuk energiánkat és oxigénünket, hanem nyugodtan várjunk. A hó alatt sokféle hangot jól hallunk (lépéseket, beszélgetést) de minket csak nagyon-nagyon közelről hallhatnak meg! Ha módunk van rá, a levegővételhez szükséges üreget bővítsünk az arcunk előtt, sőt ennek felületét próbáljuk rendszeresen kaparni, mert az üreg falára csapódott pára jégréteget alkotva elzárhatja a levegő-utánpótlás lehetőségét. Túlélési esély [ szerkesztés] A lavina túlélési esélye 85-90% os, ha a mentés azonnali. A túlélési esély azonban az első 1/4 óra elteltével drasztikusan csökkenni kezd, körülbelül félóránként feleződik a túlélési esély) 2 óra elteltével 10% nál kevesebb esély marad arra, hogy túlélőt találnak a lavina alatt. A gyors, szakszerű keresésen és mentésen múlik a betemetett ember élete. Előfordulhat azonban, hogy több napos betemetettet is élve ásnak ki. A helikopteres mentés az Alpokban átlagosan a riasztás utáni 45. percben képes a helyszíni tevékenységre, vagyis akkor, amikor a túlélési esély már csak 35-40% os! Az azonnali sporttársi segítségnyújtás emberéletet menthet! Téli túrázáshoz nélkülözhetetlen eszközök [ szerkesztés] Lavina-jeladó. Jeladó – és átállítva vevő-kereső készülék impulzusokat ad 2, 275 MHz vagy 457 kHz frekvencián (francia és német nyelvterületen eltérően alakul ki a gyakorlata) később dupla frekvenciájú készülékeket is használtak, majd a 457 kHz általánossá vált. Fontos tanács, hogy a lavina-jeladót mindig a felsőruházatunk alá, a nyakunkba akasszuk, mellünkön körülhevederezve is rögzítsük) és soha ne a hátizsákba tegyük. Egy erősebb lavina a ruházatunkat is leszaggathatja, a zsákot magunk dobjuk el, így, az alsóruházatunkon rögzítve a legnagyobb valószínűsége, hogy a jeladó valóban megmarad rajtunk még szélsőséges esetben is. Próba: A lavina-jeladót adásra állítjuk, társunk vételre kapcsol, csipogó hangot kell hallania, illetve a kijelzőn észlelnie kell a közeli adást, majd fordítva is ellenőrizzük a készülékeket. A korszerű készülékek alkalmasak önellenőrzésre és szelektív keresésre is. Radarreflektor Ha nincs jeladónk, a ruházatunkban legyen beépítve "Recco-systems" Kabátba varrt – sícipőbe vagy sisakba épített - radarreflektor, amelyek keresésére a helikopteres- és hegyimentő szolgálatok fel vannak készülve. Az elterjedt radarreflektor passzív (nem kell elemmel ellátni. A sportruházat használhatóságát nem befolyásolja – alig nagyobb egy gyufásdoboznál, és zárt műanyag öntvényben van. A kézi kereső készülék – a hegyi mentők számára kifejlesztett változat, radar detektor) 1, 6 kg súlyú. 3 m-es betemetettség esetén 200 m-ről alkalmas a keresésre. Hagyományosan lavinazsinór is használható, ami egy élénk színű, kb. 20 m hosszú vékony zsinór. Kritikus helyzetben a zsebből eldobva, az egyik vége a túrázóhoz kötve, a másik szabadon, ha egy kis darabja a felszínen marad, megkönnyíti az eltűnt keresését. (fontos, hogy spulnin legyen, ne gubancolódhasson össze, terüljön ki a zsinór teljes hossza. A lavinazsinór használata azokban az országokban még mindig eredményes lehet, ahol a radar-keresésre nincsenek felkészülve – (Európában Szlovákia, Románia, Ukrajna. illetve ha a teljes túrázó társaság nem rendelkezik jeladóval. lavinaszonda – 2, 0-3, 2 m hosszú, egymásba csúsztatható elemekből összeilleszthető rúd, alumínium vagy szénszálas anyagú (azelőtt nádból készítették. Gyártanak olyan síbotot is, amelyik a párjával összecsavarozva toldható – együtt kb. 2, 7 m-es lavinaszondát alkotva. lapát (összehajtható vagy szétszedhető, alumínium lapát) elsősegély csomag (az elsősegély csomag nélkülözhetetlen kelléke az izolációs fólia, – lepedő méretű alufólia – amely a sérültet betakarva a hőleadást csökkenti) További hasznos eszközök [ szerkesztés] Air Bag System, ABS, levegővel vagy nitrogénnel palackból fölfúvódó ballon, ami a hátizsákra van rögzítve. A könnyű ballon nem engedi a lavina aljára a használóját, az nagy eséllyel a felszínen marad. Avalung - hó alatti légzést elősegítő készülék, a hó alatt az elhasznált levegő visszalégzése eszméletvesztést okozhat. A készülék kiszűri az elhasznált szén-dioxidot. Hevederrel a ruha fölé rögzíthető, hogy csutorája betemetett helyzetben is szájjal elérhető legyen. Megjegyezzük, hogy ha a hó alatt a kihűlés veszélye nem fenyeget, az elalvást nem kell mindenáron elkerülnünk, mert az csökkenti az oxigénfelvételt, és több idő maradhat a mentésre. Ha saját magunkat megmenteni nem tudjuk, nyugodtan várjunk. Minden felesleges erőfeszítés vagy izgalom növeli a légzést, és csökkenti a túlélési esélyünket. Keresés, mentés [ szerkesztés] A keresést mindig a legtapasztaltabb túravezető (oktató vagy síző) irányítja (amennyiben a mentőosztag és annak vezetője nincs a helyszínen) mert a keresésnek összehangolt csapatmunkának kell lennie. A lavina megállapodása után azonnal jelöljük meg azt, hogy az eltűnt hol került bele a lavinába, és hogy hol láttuk utoljára. Nem zárható ki további lavinák lezúdulása, ezért állítsunk egy figyelőembert lavinabiztos helyre, aki áttekinti a terepet, és jelezheti esetleges újabb lavina keletkezését. (Újabb lavina esetén a kézben tartott lavina-jeladó egy gombnyomással – vagy a fülhallgató eltávolításával- visszaállítható vételről adásra. Keresés esetén: a kereső csoport minden tagja állítsa készülékét a legdurvább vételre, és 25 m-re egymástól járják be a terepet. Jelöljék azokat a helyeket, ahol a vételt érzékeltek. A vételt érzékelt területen egyre finomabbra állított készülékkel pontosítsák a keresés helyét. 20–25 cm pontossággal megtalálható a legerősebb vétel helye, itt lavinaszondával pontosítják az ásás helyét. Amennyiben már nem keresnek, például már az ásás folyik) mindenki visszaállítja a készülékét adásra. Az első generációs, fülhallgatós készülékek mellett már elterjedtek a vizuális kijelzős készülékek. A mai két vagy háromantennás készülékek irány és távolság meghatározására is képesek, és szelektíven több adó helyzete egyidejűleg is meghatározható, ezáltal a fent leírtnál egyszerűbb és gyorsabb keresés is lehetséges. Ha több eltemetett van, a megtalált ember adókészülékét ki kell kapcsolni a további tiszta jelű keresés érdekében. A kiásást ne a megtalált ember fölött kezdjük, hanem lejjebb, hogy az elsősegélynyújtáshoz legyen hely. Fontos a hegyi mentők értesítése, hiszen a mobiltelefonok elterjedésével életmentő kommunikációs eszközzel rendelkezhetünk. A helyismeret segíthet abban, hogy GSM-térerőt hol találhatunk a legközelebb, ha a baleset helyszínén nem lehetséges a telefonálás, vagy hogy személyesen hol kérhetünk legközelebb segítséget. Radardetektoros vagy a betemetett mobiltelefon adójele alapján történő keresésre csak a hegyi mentők vagy a helikopteres mentőszolgálat van felkészülve. Azonnal tekintsük át a lavina lerakási területét, hátha a felszínen észlelünk valamilyen jelet, zsinórt, ruházatot. Lavina-jeladóval keressünk, ha volt ilyen készülék az eltűntön. Ha sem a felszíni keresés, sem a rádiófrekvenciás keresés nem eredményes, durva vagy finom szondázással folytatjuk a keresést. A lavina által betemetett „szondás keresését” már Hérodotosz is megemlíti a kaukázusi népekről írt fejezetében. Durva szondázás esetén a keresőcsapat váll-váll mellett, lépésenként egyszer szondázza a területet. Finom szondázás esetén ugyanilyen láncban tyúklépésenként(vagyis lábfejenként, kb 33 cm-ként) váll-szélességben 3 szondázást végeznek a keresők. Ha az első durva szondázás sikertelen, érdemes még egy durva szondázást végezni. (az idő életet menthet, a finom szondázás ugyan 9x finomabb keresés, de egyben kb 6x lassabb. A durva szondázás megtalálási valószínűsége a betemetett elhelyezkedésétől függ, de átlagosan 70% os. Ha lavinaszonda nem áll a rendelkezésünkre, a hótányértól megszabadított síbot is – korlátozott mélységig – alkalmas eszköz lehet a keresésre. Ha a finom szondázás sem vezet eredményre, kutatóárkok ásásával kereshetjük tovább a betemetettet. A kutyás keresés gyors és hatékony, még teljes betemetés esetén is eredményes lehet. Érdekes információk a keresőkutyákról az alábbi belső hivatkozásokban: bernáthegyi Mancs Lásd még: egyéb lavinák [ szerkesztés] A lavinák közül a hólavina a leggyakoribb, és éghajlatunkon összességében legveszélyesebb jelenség, azonban akár lerakódott jégrétegek, akár hegyoldalak kőgörgetegei, akár - főként kiadós esőzés után - a fölázott talajtakaró egésze kimozdulhat egyensúlyi helyzetéből, iszaplavinát okozva. A talaj de főként rézsűk vagy támfalak egyensúlyvesztését általában suvadásnak vagy földcsuszamlásnak nevezzük. jéglavina kőgörgeteg iszaplavina (sárlavina) lahar vulkáni hamu -lavina, piroklaszt ár (izzó lavina) Irodalom [ szerkesztés] dr Bocsák Béla: Lavina, Tengerszem Kft, BP, 1989 Chernelházi Chernel István: A lábszánkázás kézikönyve, BP, 1896 Czant Hermann: Téli turisztika téli alpinizmus és katonai szolgálat hegyvidéken, Arad, 1909 Dosek Ágoston - dr. Miltényi Márta: A sízés A Magyar Testnevelési Egyetem Tankönyve BP 1993 ISBN 963-04-2777-X Dr. Dosek Ágoston-Osváth Miklós A sízés+3 Alpesi sí-Snowboard-Telemark-Sífutás, Osváth Miklós kiadása BP 2003 ISBN 963-460-340-8 Hefty Gy. Andor: Vezérfonal az iskolai síoktatáshoz Országos Testnevelési Tanács munkálatai XVIII. BP. 1918 Hoffmann, Michael: Lavinaveszély 2002 Bp Holfeld Henrik: Síelés az iskolákban Országos Testnevelési Tanács munkálatai XV. 1917 Neidenbach Ákos - Pusztay Sándor Magyar turista és hegyisport enciklopédia, Kornétás Kiadó Bp. 2005 Riml, Theo: Hó- és lavinaismeret, síelés a biztosított pályán kívül, Az osztrák síoktató-képzés számára készült jegyzet, 1984 aug. III. javított kiadás dr Schwicker Richard: Sí sport Bp, 1929, OSZK [1. Seres Anna: Lavinapályák vizsgálata [2. Seres Anna előadás anyaga Földrajzi konferencia, Szeged 2001 Serényi Jenő - Hefty Gy. Andor: A sísport gyakorlati kézikönyve, Turistaság és Alpinizmus BP. 1918 Sí a hegymászósportban Bp, 1944, OSZK Dr. Zsigmondy Emil: Az Alpok veszélyei, Kornétás Kiadó, Bp 2001. (első magyar kiadás) Szerkesztette: Neidenbach Ákos (német-francia -olasz -angol nyelvű) hó- és lavinaismeret [3. Gallatin National Forest Avalanche Center [4. Neidenbach Ákos: Hegymászó balesetek - tanulságok [5. Lavina elleni védelem, FAO [6. Tumbász Gergő cikke balesetekről [7. halott link. Magyar Hegymászó Oktatók Egyesülete, PIEPS tanfolyam [8. Ausztria, Tirol, a szövetségi kormány támogatásával két napos ingyenes lavinatanfolyam információi [9. Sítábor-orvosok kézikönyve [10. halott link. Pálos Szabolcs: Hó-és lavinaismeret [11. ABS vagyis fölfúvódó légzsák - air-bag-system [12. cikke: Hav görget havat Lavina-információ [ szerkesztés] 13] 14. 15. halott link. 16] Szlovákia, Alacsony- és Magas-Tátra [17] Lengyelország, Magas-Tátra [18. 19] 20. 21] Ausztria;Alpok [22] Olaszország Alpok [23] Németország, Alpok [24. 25] Svájc Alpok [26] Franciaország Alpok [27] Kanada [28] USA Colorado Filmek [ szerkesztés] 29. 30] LAVINA [31. 32. 33] lapátpróba, hórétegződés vizsgálata [34. 35. 36] Porhólavinák [37. 38] Síző által elindított lavinák [39. 40. 41] Motoros szán által elindított lavinák [42. 43. 44. 45] Snowboardos által elindított lavinák Külső hivatkozások [ szerkesztés] tematikus link gyűjtemény.

Harry potters life hasnt exactly improved since he left hogwarts. Downhill weather. What does Lavina mean? L avina ▼ as a girls' name is of Latin origin. Lavina is a variant form of Lavinia (Latin. STARTS/ENDS WITH La. ina Variations VARIANTS Luvinia, Luvina, Luvenia ▼, Luvena, Lovinia, Lovina, Louvinia, Louvenia, Livinia, Levinia, Levina, Levenia, Lavinie, Lavenia, Lavena CREATIVE FORMS (female) male) MIDDLE NAME PAIRINGS Lavina Leona (L. L. How popular is Lavina? Lavina is a very prominent first name for females ( 1562 out of 4276, Top 37% and a slightly less prominent surname for both adults and children ( 98770 out of 150436, Top 66. 2000 U. S. CENSUS) Lavina was first listed in 1880-1889 and reached its peak rank of #415 in the U. then, but is not listed currently. (TOP 2000 NAMES, 2018) Which version is better? Prominent variation forms of Lavina are Lavena, Lavenia, Lavinia, Levina, Louvenia, Lovina, Luvena, Luvenia, Luvina and Luvinia. Adoption of these relations of Lavina reached its highest in the 1880s (USAGE OF 0. 07. but now, forms like Luvenia have become somewhat dated. Similar Names Lavina ▼ is pronounced similarly to Lavanna, Lavena, Lavenia, Lavinia ▼, Lavinie, Lavonna, Levana, Levania, Levanna, Levenia, Levina, Levinia, Levona, Livana, Livanna, Livinia, Louvinia, Lovina, Lovinia, Luvena, Luvenia ▼, Luvina and Luvinia. Other suggested similar-sounding names are Alvina ▼, Calvina, Darina, Daviana, Davina ▲, Davinia, Davita, Divina, Earvina, Ervina, Galina, Javona, Karina ▼, Katina ▼, Laila ▲, Lanika, Larisa, Latina, Latona, Laurina, Laveta, Lavonda, Lavonne ▼, Lavra, Leina, Libena (see Luba) Lina, Livia ▲, Livija, Lucina, Mahina, Malina, Marvina, Masina, Maxina, Pavia, Raina ▲, Ravina, Ravinia, Ravinna, Salina ▼, Salvina, Satina, Savina, Savine, Talina, Tarina, Vanina, Xavia, Yarina, Zaina and Zarina. These names tend to be less commonly used than Lavina. [ Top.

Downhill. Abi buluşma ayarlasan çok iyi olur.

 

Wish it came out on Netflix so I didnt have to leave my house in order to watch it...

I almost went to sleep while watching this trailer

Price 0 40k 80k 120k 150k 180k 250k 250k 60k 120k 180k 250k 300k 400k 450k Any Price Any Single Family Home Multi Family Home Condo / Townhome Mobile Farm Land Bathrooms Or Select Bathrooms Range Hide Pending / Contingent Property Type Any Single Family Home Multi Family Home Condo / Townhome Mobile Farm Land Inside / Rooms Basement Hardwood Floors Fireplace Disability Features Dining Room Family Room Den / Office Lot / Views Waterfront Cul-De-Sac Corner Lot Golf Course Lot Hill / Mtn View Ocean View Lake View River View Community Amenities Pool(s) Spa / Hot Tub(s) Golf Course Security Features Boat Facilities Tennis Court(s) Clubhouse(s) Senior Community Keyword Search You can now search for specific words in a property listing  Brokered by Big M Realty, Inc Brokered by eXp Realty, LLC Brokered by Preferred Property Brokers New Brokered by Metro, Realtors L. L. P Contingent Brokered by Landmark of Billings, Inc. Brokered by Thistledew Land Co. Brokered by Billings R. E. Professionals Found 8 matching properties Popular searches near Lavina, MT Facts about Lavina, MT Schools in Lavina, MT *School data provided by National Center for Education Statistics, Pitney Bowes, and  GreatSchools. Intended for reference only. GreatSchools scores compare a schools test performance to statewide results. To verify enrollment eligibility, contact the school or district directly. Property types in Lavina, MT Single Family Lavina Multi-Family Home Lavina Condo/Townhome Lavina Land Lavina Mfd/Mobile Home Lavina Home values for cities near Lavina, MT Home values for counties near Lavina, MT Musselshell County Homes for Sale 124, 900 Fergus County Homes for Sale 168, 500 Golden Valley County Homes for Sale 129, 900 Stillwater County Homes for Sale 335, 900 Yellowstone County Homes for Sale 253, 500 Carbon County Homes for Sale 317, 450 Cascade County Homes for Sale 204, 900 Park County Homes for Sale 354, 500 Gallatin County Homes for Sale 432, 000 Park County Homes for Sale 289, 000 Sheridan County Homes for Sale 299, 900 Chouteau County Homes for Sale 179, 450 Rosebud County Homes for Sale 142, 000 Teton County Homes for Sale 1, 495, 000 Sweet Grass County Homes for Sale 235, 000 Big Horn County Homes for Sale 141, 250 Judith Basin County Homes for Sale 119, 000 Big Horn County Homes for Sale 174, 000 Hill County Homes for Sale 185, 000 Wheatland County Homes for Sale 79, 000 Home values for zips near Lavina, MT 59102 Homes for Sale 239, 000 59105 Homes for Sale 249, 500 59106 Homes for Sale 362, 000 59457 Homes for Sale 158, 000 59044 Homes for Sale 235, 250 59072 Homes for Sale 124, 900 59019 Homes for Sale 319, 000 59079 Homes for Sale 300, 000 59041 Homes for Sale 322, 000 59063 Homes for Sale 347, 400 59046 Homes for Sale 159, 900 59037 Homes for Sale 317, 900 59032 Homes for Sale 192, 000 59057 Homes for Sale 421, 950 How to buy a home in Lavina, MT Be prepared to buy Get Pre-Approved A pre-approval letter from a lender makes your offer stronger. Lavina, MT Real Estate & Homes for Sale Homes for sale in Lavina, MT have a median listing price of 159, 900 and a price per square foot of 144. There are 8 active homes for sale in Lavina, MT. Some of the hottest neighborhoods near Lavina, MT are Pioneer Park, South Side, Central Terry Park, Lockwood. You may also be interested in single family homes and condos/townhomes for sale in popular zip codes like 59046, 59457, or 3-bedroom homes for sale in neighboring cities, such as Roundup, Billings, Shepherd, Columbus, Laurel. For more popular searches, check out houses for sale with Open House, Price Reduced, Newest Listings.

LaVina is a neighborhood in Orlando, Florida with a population of 21, 615. LaVina is in Orange County and is one of the best places to live in Florida. Living in LaVina offers residents an urban suburban mix feel and most residents own their homes. Many families and young professionals live in LaVina and residents tend to be liberal. The public schools in LaVina are highly rated. Real Estate Sponsored Mortgage Options for LaVina Get Rates Get pre-approved for a home loan quickly. Easy online application with 0 in lender fees. Niche may be compensated by the third party lenders and others who place ads on the website. Niche is not a lender and does not endorse the products of these advertisers. Fees that Niche receives for ads do not affect the terms you may be offered by the lender you choose. There are many additional borrowing options available. LaVina Rankings Niche ranks thousands of neighborhoods based on key statistics from the U. S. Census and and expert insights. Crime & Safety Crime & Safety NG Based on violent and property crime rates. Assault — 282. 7 Murder — 6. 1 Rape — 40. 7 Robbery — 135. 5 Burglary — 500. 1 Theft — 2, 042. 8 Motor Vehicle Theft — 284 Residents Diversity A Based on ethnic and economic diversity. Families with Children 43% Master's degree or higher 19% 12% Bachelor's degree 38% 19% Some college or associate's degree 29% 29% High school diploma or equivalent 10% 28% Less than high school diploma 4% 13% Places like LaVina A+ Bal Bay Neighborhood in Orlando, FL More LaVina is a great neighborhood and has very good schools like Lake Nona High School. It is very family friendly and has a great cummunity environment. Start Your Review of LaVina For being in Orlando it's pretty good. I feel as if it could be more safe but for the most part, it's a good place. A lot of Hispanics and white people though not that that's a bad thing.

Add your Submit your own pictures of this town and show them to the world OSM Map General Map Google Map MSN Map Population in 2017: 168 (0% urban, 100% rural. Population change since 2000: 19. 6% Median resident age: 45. 1 years Montana median age: 40. 0 years Zip codes: 59046. Estimated median household income in 2017: 39, 837 ( it was 24, 643 in 2000) Lavina: 39, 837 MT: 53, 386 Estimated per capita income in 2017: 21, 405 ( it was 12, 475 in 2000) Lavina town income, earnings, and wages data Estimated median house or condo value in 2017: 101, 164 ( it was 41, 900 in 2000) Lavina: 101, 164 MT: 231, 300 Mean prices in 2017: all housing units: 86, 986; detached houses: 93, 048; mobile homes: 41, 125 Median gross rent in 2017: 829. March 2019 cost of living index in Lavina: 87. 5 (less than average, U. S. average is 100) Lavina, MT residents, houses, and apartments details Percentage of residents living in poverty in 2017: 20. 4% 16. 6% for White Non-Hispanic residents, 64. 7% for two or more races residents) Detailed information about poverty and poor residents in Lavina, MT Business Search - 14 Million verified businesses Latest news from Lavina, MT collected exclusively by from local newspapers, TV, and radio stations Ancestries: American (40. 0. German (15. 7. Norwegian (12. 2. Danish (5. 2. Scandinavian (3. 5. French (2. 6. Current Local Time: MST time zone Elevation: 3436 feet Land area: 1. 01 square miles. Population density: 166 people per square mile   (very low. 2 residents are foreign born This town: 1. 0% Montana: 1. 8% Median real estate property taxes paid for housing units with mortgages in 2017: 803 (0. 8% Median real estate property taxes paid for housing units with no mortgage in 2017: 382 (0. 5% Nearest city with pop. 50, 000+ Billings, MT (40. 1 miles, pop. 89, 847. Nearest city with pop. 200, 000+ West Adams, CO (486. 6 miles, pop. 259, 628. Nearest city with pop. 1, 000, 000+ Phoenix, AZ (898. 4 miles, pop. 1, 321, 045. Nearest cities: Broadview, MT (3. 7 miles) Klein, MT (4. 5 miles) Camp Three, MT (4. 5 miles) Shawmut, MT (5. 3 miles) Latitude: 46. 30 N, Longitude: 108. 94 W Area code: 406 Unemployment in March 2019: Population change in the 1990s: 58 ( 38. 4. Most common industries in Lavina, MT. Both Males Females Educational services (30. 6% Social assistance (11. 8% Accommodation & food services (10. 6% U. Postal service (8. 2% Agriculture, forestry, fishing & hunting (7. 1% Construction (4. 7% Food (4. 7% Most common occupations in Lavina, MT. Preschool, kindergarten, elementary, and middle school teachers (22. 4% Cooks and food preparation workers (11. 8% Material recording, scheduling, dispatching, and distributing workers (8. 2% Other management occupations, except farmers and farm managers (5. 9% Building and grounds cleaning and maintenance occupations (5. 9% Farmers and farm managers (4. 7% Retail sales workers, except cashiers (3. 5% Average climate in Lavina, Montana Based on data reported by over 4, 000 weather stations Air pollution and air quality trends (lower is better) AQI NO 2 SO 2 Air Quality Index (AQI) level in 2003 was 8. 22. This is significantly better than average. Earthquake activity: Lavina-area historical earthquake activity is slightly below Montana state average. It is 15% greater than the overall U. average. On 8/18/1959 at 06:37:13, a magnitude 7. 7 (7. 7 UK, Class: Major, Intensity: VIII - XII) earthquake occurred 145. 7 miles away from Lavina center, causing 26, 000, 000 total damage On 10/28/1983 at 14:06:06, a magnitude 7. 3 (6. 2 MB, 7. 3 MS, 7. 0 MW) earthquake occurred 282. 3 miles away from Lavina center, causing 2 deaths ( 2 shaking deaths) and 3 injuries, causing 15, 000, 000 total damage On 6/30/1975 at 18:54:13, a magnitude 6. 1 (5. 6 MB, 5. 9 MS, 6. 1 UK, 6. 1 ML, Class: Strong, Intensity: VII - IX) earthquake occurred 142. 1 miles away from Lavina center On 7/26/2005 at 04:08:37, a magnitude 5. 7 (5. 7 MB, 5. 2 MS, 5. 6 MW, Depth: 8. 0 mi, Class: Moderate, Intensity: VI - VII) earthquake occurred 185. 8 miles away from the city center On 2/3/1994 at 09:05:04, a magnitude 5. 8 (5. 4 MB, 5. 5 MS, 5. 8 MW, 5. 8 ML, Depth: 4. 9 mi) earthquake occurred 263. 0 miles away from Lavina center On 3/28/1975 at 02:31:05, a magnitude 6. 2 (6. 1 MB, 6. 0 MS, 6. 2 ML) earthquake occurred 344. 2 miles away from the city center Magnitude types: body-wave magnitude (MB) local magnitude (ML) surface-wave magnitude (MS) moment magnitude (MW) Natural disasters: The number of natural disasters in Golden Valley County (5) is a lot smaller than the US average (13. Major Disasters (Presidential) Declared: 3 Emergencies Declared: 2 Causes of natural disasters: Floods: 2, Drought: 1, Fire: 1, Hurricane: 1, Storm: 1 (Note: some incidents may be assigned to more than one category. Airports located in Lavina: Lavina Airport (80S. Runways: 1, Itinerant Ops: 275, Local Ops: 100) Colleges/universities with over 2000 students nearest to Lavina: Montana State University-Billings ( about 40 miles; Billings, MT; Full-time enrollment: 4, 319) Montana State University ( about 111 miles; Bozeman, MT; FT enrollment: 12, 942) Sheridan College ( about 144 miles; Sheridan, WY; FT enrollment: 2, 070) Brigham Young University-Idaho ( about 221 miles; Rexburg, ID; FT enrollment: 30, 522) The University of Montana ( about 243 miles; Missoula, MT; FT enrollment: 13, 602) Casper College ( about 272 miles; Casper, WY; FT enrollment: 2, 770) Black Hills State University ( about 276 miles; Spearfish, SD; FT enrollment: 3, 166) Public high school in Lavina: LAVINA HIGH SCHOOL ( Students: 35, Location: 214 1ST ST EAST, Grades: 9-12) Public elementary/middle schools in Lavina: LAVINA SCHOOL ( Students: 43, Location: 214 1ST ST EAST, Grades: PK-6) LAVINA 7-8 ( Students: 7, Location: 214 1ST ST EAST, Grades: 7-8) See full list of schools located in Lavina Points of interest: Click to draw/clear town borders Notable location: Lavina Volunteer Fire Department and Emergency Medical Services (A. Display/hide its location on the map Churches in Lavina include: Saint Josephs Catholic Church (A) Holy Trinity Lutheran Church (B) Lavina Methodist Church (C. Display/hide their locations on the map Cemetery: Lavina Cemetery (1. Display/hide its location on the map Park in Lavina: Lavina City Park (1. Display/hide its location on the map Golden Valley County has a predicted average indoor radon screening level between 2 and 4 pCi/L (pico curies per liter. Moderate Potential Average household size: This town: 2. 4 people Montana: 2. 4 people Percentage of family households: This town: 65. 8% Whole state: 62. 8% Percentage of households with unmarried partners: This town: 3. 8% Whole state: 6. 7% No gay or lesbian households reported For population 15 years and over in Lavina: Never married: 11. 4% Now married: 69. 9% Separated: 6. 7% Widowed: 3. 0% Divorced: 9. 0% For population 25 years and over in Lavina: High school or higher: 95. 0% Bachelor's degree or higher: 23. 0% Graduate or professional degree: 5. 6% Unemployed: 6. 6% Mean travel time to work (commute) 25. 0 minutes Education Gini index (Inequality in education) Here: 7. 5 Montana average: 10. 0 Graphs represent county-level data. Detailed 2008 Election Results Political contributions by individuals in Lavina, MT Religion statistics for Lavina, MT (based on Golden Valley County data) Religion Adherents Congregations Catholic 162 1 Evangelical Protestant 32 2 Mainline Protestant 23 3 None 667 - Source: Clifford Grammich, Kirk Hadaway, Richard Houseal, Dale, Alexei Krindatch, Richie Stanley and Richard 2012. 2010 ligion Census: Religious Congregations & Membership Study. Association of Statisticians of American Religious Bodies. Jones, Dale E., et al. 2002. Congregations and Membership in the United States 2000. Nashville, TN: Glenmary Research Center. Graphs represent county-level data Food Environment Statistics: Number of convenience stores (with gas) 1 This county: 8. 94 / 10, 000 pop. State: 4. 69 / 10, 000 pop. Number of full-service restaurants: 2 This county: 17. 89 / 10, 000 pop. Montana: 10. 38 / 10, 000 pop. Adult diabetes rate: Golden Valley County: 7. 4% Montana: 7. 2% Adult obesity rate: Golden Valley County: 24. 4% Montana: 23. 1% Health and Nutrition: Healthy diet rate: Lavina: 40. 9% State: 50. 5% Average overall health of teeth and gums: Lavina: 45. 2% State: 48. 0% Average BMI: Lavina: 29. 8 Montana: 28. 8 People feeling badly about themselves: Here: 21. 9% Montana: 21. 4% People not drinking alcohol at all: This city: 15. 2% Montana: 9. 9% Average hours sleeping at night: Overweight people: This city: 37. 3% Montana: 35. 3% General health condition: This city: 55. 0% State: 57. 2% Average condition of hearing: This city: 84. 4% Montana: 78. 3% More about Health and Nutrition of Lavina, MT Residents Local government employment and payroll (March 2012) Function Full-time employees Monthly full-time payroll Average yearly full-time wage Part-time employees Monthly part-time payroll Solid Waste Management 0 0   0 0 Sewerage 0 0   1 379 Parks and Recreation Other Government Administration 0 0   1 463 Housing and Community Development (Local) Natural Resources Water Supply Water Transport and Terminals Financial Administration Electric Power Judicial and Legal Police Protection - Officers Police - Other Firefighters Fire - Other Correction Airports Gas Supply Transit Local Libraries Other and Unallocable Streets and Highways Welfare Health Hospitals Totals for Government 0 0   2 842 Lavina government finances - Expenditure in 2012 (per resident) Current Operations - Sewerage: 15, 000 (89. 29) Financial Administration: 7, 000 (41. 67) Local Fire Protection: 4, 000 (23. 81) Regular Highways: 4, 000 (23. 81) General Public Buildings: 3, 000 (17. 86) Parks and Recreation: 3, 000 (17. 86) Police Protection: 2, 000 (11. 90) Health - Other: 1, 000 (5. 95) General - Interest on Debt: 2, 000 (11. 90) Total Salaries and Wages: 8, 000 (47. 62) Lavina government finances - Revenue in 2012 (per resident) Charges - Sewerage: 18, 000 (107. 14) Miscellaneous - General Revenue - Other: 2, 000 (11. 90) State Intergovernmental - General Local Government Support: 9, 000 (53. 57) Highways: 8, 000 (47. 62) Tax - Property: 18, 000 (107. 14) Other License: 1, 000 (5. 95) Lavina government finances - Cash and Securities in 2012 (per resident) Other Funds - Cash and Securities: 82, 000 (488. 10) Strongest AM radio stations in Lavina: KURL (730 AM; 5 kW; BILLINGS, MT; Owner: ELENBAAS MEDIA, INC. ) KGHL (790 AM; 5 kW; BILLINGS, MT; Owner: NEW NORTHWEST BROADCASTERS, LLC) KBUL (970 AM; 5 kW; BILLINGS, MT; Owner: CAPSTAR TX LIMITED PARTNERSHIP) KGVW (640 AM; 10 kW; BELGRADE, MT; Owner: GALLATIN VALLEY WITNESS, INC. ) KERR (750 AM; 50 kW; POLSON, MT; Owner: ANDERSON RADIO BROADCASTING, INC. ) KTWO (1030 AM; 50 kW; CASPER, WY; Owner: CITICASTERS LICENSES, L. P. ) KBLG (910 AM; 1 kW; BILLINGS, MT; Owner: FISHER RADIO REGIONAL GROUP, INC. ) KATL (770 AM; 10 kW; MILES CITY, MT; Owner: STAR PRINTING COMPANY) KOFI (1180 AM; 50 kW; KALISPELL, MT; Owner: KOFI, INC. ) KZMQ (1140 AM; daytime; 10 kW; GREYBULL, WY; Owner: LEGEND COMMUNICATIONS OF WYOMING LLC) KMON (560 AM; 5 kW; GREAT FALLS, MT; Owner: COMMONWEALTH LICENSE SUBSIDIARY, LLC) KMZK (1240 AM; 1 kW; BILLINGS, MT; Owner: ELENBAAS MEDIA, INC. ) KMTA (1050 AM; 10 kW; MILES CITY, MT; Owner: SENGER BROADCASTING CORPORATION) Strongest FM radio stations in Lavina: KRKX (94. 1 FM; BILLINGS, MT; Owner: FISHER RADIO REGIONAL GROUP, INC. ) KZRV (107. 5 FM; BILLINGS, MT; Owner: NEW NORTHWEST BROADCASTERS, LLC) TV broadcast stations around Lavina: K11MB ( Channel 11; LAVINA, MT; Owner: GOLDEN VALLEY ASSN. #2) K13MR ( Channel 13; LAVINA, MT; Owner: GOLDEN VALLEY ASSN. #2) National Bridge Inventory (NBI) Statistics 7 Number of bridges 69ft / 21. 0m Total length 18, 623 Total average daily traffic 588 Total average daily truck traffic 19, 884 Total future (year 2026) average daily traffic FCC Registered Antenna Towers: 2 Edward G Roach, 4666 Montana Hwy 3 (Mt14183-A. Lat: 46. 305528 Lon: 108. 936333) Type: 43. 6, Structure height: 30037 m, Overall height: 42. 7 m, Registrant: Sba Towers Iii LLC. Boca -Raton, Phone: [phone] Edward G Roach, 4666 Montana Hwy 3 (Mt14183-A. Lat: 46. 7 m, Registrant: Sba Towers Iii LLC. Boca -Raton, Phone: [phone] FCC Registered Broadcast Land Mobile Towers: 5 2 Mi W ( Lat: 46. 302167 Lon: 108. 986833) Call Sign: KYA372, Assigned Frequencies: 151. 550 MHz, Grant Date: 12/04/2014, Expiration Date: 11/29/2024, Registrant: Business Radio Licensing, 30251 Golden Lantern, Suite E #501, Laguna Niguel, CA 92677-5993, Phone: [phone], Fax: [phone], Email: Painted Robe Substation ( Lat: 46. 216611 Lon: 108. 934056) Structure height: 6 m, Call Sign: WPFP376, Assigned Frequencies: 456. 200 MHz, 456. 275 MHz, Grant Date: 09/11/2014, Expiration Date: 08/12/2024, Certifier: Bruce A Mckinley, Registrant: Gillespie, Prudhon & Associates Inc., 16111 Se 106th Avenue #100, Clackamas, OR 97015, Phone: [phone], Fax: [phone], Email: BELMONT RADIO SITE, 526 Belmont Rd - Belmont Radio Site ( Lat: 46. 228722 Lon: 108. 982722) Type: Ltower, Structure height: 24. 4 m, Overall height: 30. 5 m, Call Sign: WQNN899, Assigned Frequencies: 44. 5800 MHz, Grant Date: 04/05/2011, Expiration Date: 04/05/2021, Certifier: Robert Leedham, Registrant: Bnsf Railway Co., 4515 Kansas Avenue, Kansas City, KS 66106, Phone: [phone], Fax: [phone], Email: Lat: 46. 570556 Lon: 109. 071556, Call Sign: WQTH714, Assigned Frequencies: 151. 917 MHz, 151. 970 MHz, Grant Date: 02/04/2014, Expiration Date: 02/04/2024, Certifier: Marcus B Nelson, Registrant: Industrial Communication & Electronics, 201 Erie Drive, Billings, MT 59101, Phone: [phone] LAVINA PUBLIC SCHOOL, 214 1st Street East ( Lat: 46. 293056 Lon: 108. 935972) Type: Building, Structure height: 9 m, Call Sign: WRAR743, Assigned Frequencies: 462. 850 MHz, 465. 000 MHz, Grant Date: 02/08/2018, Expiration Date: 02/08/2028, Certifier: Duane Walker, Registrant: Visiplex, Inc., 1287 North Barclay Boulevard, Buffalo Grove, IL 60089, Phone: [phone], Fax: [phone], Email: FCC Registered Microwave Towers: 1 MT02031A, 4666 Montana Hwy 3 (Mt14183-A. 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Unemployed percentage below state average. Black race population percentage significantly below state average. Median age above state average. Foreign-born population percentage significantly below state average. Length of stay since moving in significantly above state average. House age significantly below state average. Number of college students significantly below state average. There is 1 pilot and 1 other airmen in this city.

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Told in Bill Cunninghams own words from a recently unearthed six-hour 1994 interview, the iconic street photographer and fashion historian chronicles, in his customarily cheerful and plainspoken manner, moonlighting as a milliner in France during the Korean War, his unique relationship with First Lady Jackie Kennedy, his four decades at The New York Times and his democratic view of fashion and society. Narrated by Sarah Jessica Parker, The Times of Bill Cunningham features incredible photographs chosen from over 3 million previously unpublicized images and documents from Cunningham. Can't wait for this one. The times of bill download full hd. The times of bill download full song. Will it come out worldwide i live in canada :S. The times of bill download full episodes.

Excellent, complex subtle. By Odie Henderson October 12, 2018, In 1978, candid photographer and fashion column writer Bill Cunningham took a picture of a woman passing by him on a New York street. He was interested in the coat she was wearing, which struck him as unusual. As luck would have it, Cunningham had inadvertently snapped a picture of the long-retired famous movie actress, Greta Garbo, who hadnt been seen on screen since 1941. The New York Times snapped up the photo and gave Cunningham a long-running photography series called “On the Street. ” Every week, readers discovered who crossed the viewfinder of the bike-riding shutterbug wearing his trademark blue shirt. Advertisement Premiering at the New York Film Festival, director Mark Bozeks “The Times of Bill Cunningham” chronicles the photographers career, starting with his time as a milliner, then working through his writing at magazines like Womens Wear Daily before settling on the thing for which he is most famous, his street photographs. Our tour guide for this entertaining journey is Cunningham himself, who appears onscreen in a 1994 interview conducted by Bozek. Bozek structures his film around this lengthy interview, supplementing it with home videos and pictures rather than using a bunch of talking heads. The film has occasional narration of actress Sarah Jessica Parker, an inspired choice; her Carrie Bradshaw character from “ Sex and the City ” would have loved to live the bohemian lifestyle Cunningham did. Cunningham was one of the most famous people to live in the Carnegie Hall Studios, residing there for over 50 years in a small room crammed with file cabinets overflowing with photographs, memorabilia and even diamonds. His famous neighbors included Leonard Bernstein, Norman Mailer and Marlon Brando who, we are told, hid out in Cunninghams flat after female fans broke down his apartment door. Cunningham also rubbed elbows in the 1950s with famous celebrities like Marilyn Monroe, whod stop by his Chez Ninon office to try on the hats he designed, and Jacqueline Bouvier, who would later bring ladies hats back into style during her days as First Lady. Though Cunningham comes off as a very nice guy whose thick Boston accent must have stood out like a sore thumb in Manhattan, theres still some snootiness and shade bubbling underneath the surface, especially when he talks about fashion. Its amusing coming from a guy whose wardrobe for decades consisted of thrift shop items or hand-me-downs from wealthy women whose husbands had bought the farm. “They were nice clothes! ” Cunningham protests when Bozek presses him about this detail, but he then adds that he would have never been showcased in his own column. Cunningham describes his picture-taking as “stealing the shadows” of his subjects. One such set of shadows leads to the films most poignant moment. Cunningham suddenly breaks down when talking about how hed photographed Gay Pride parades since their inception in NYC, and how hed lost many of the people he knew to AIDS. We later learn that the man who lived so frugally had also donated millions of dollars to AIDS charities. Cunningham worked practically until his death in 2016; not even being hit by a truck could keep him off his beat for long. “The Times of Bill Cunningham” runs a scant 74 minutes, which seems a perfect amount of time for a man who was so humble that he didnt even attend the premiere of a prior documentary about him made back in 2011. Instead, he stood outside the theater and took pictures. While festival centerpiece “ Roma ” has deserving buzz as a shoo-in for the Best Foreign Film Oscar, lets not forget the hauntingly romantic “Cold War, ” the new film from “ Ida ” director, Pawel Pawlikowski. Its Polands official Oscar submission and the winner of the Golden Lion at the Polish Film Festival and the Best Director award at Cannes. Aided by the transcendent black and white cinematography of Lukasz Zal, who also worked on “Ida, ” Pawlikowski tells a love story that feels symbolic of Poland during the Cold War era of the films setting. Music plays a big part here, first as a symbol of national pride and then as a means of escape via that Western world music known as jazz. Stuck—or should I say trapped—within this framework are Wiktor (Tomasz Kot) and Zula (a fantastic Joanna Kulig. Wiktor first encounters Zula while auditioning folk singers with his musical partner and former lover Irena ( Agata Kulesza. Zula seems the wrong match for the more straight-laced Wiktor—shes a hustler whos wise beyond her teenaged years and who has infamously stabbed her father. “He mistook me for my mother, ” she tells Wiktor, “and I used my knife to show him the difference. ” Wiktor falls for her anyway. Many a love story has hinged upon people who are clearly mismatched but try like Hell to make it work. This duo drifts apart and comes together repeatedly, both behind and in front of the Iron Curtain, yet theyre as unlikely a pair as the films principal settings of rural Poland and Paris. Pawlikowski deftly uses his pacing and framing to keep our attention: Time passes in the blink of an eye, sometimes without prior warning. The timeline is as fractured and unpredictable as the lovers themselves, and the actors are often dwarfed on the screen by the cold, grey elements of nature that take up much of the screen. Theres a sense of impending doom, but “Cold War” doesnt telegraph nor elicit our emotions. Its matter-of-factness is its greatest asset. “Cold War”s Kulig, “Roma”s Yalitza Aparicio and “If Beale Street Could Talk”s Kiki Layne form a trio of the best lead actress performances Ive seen this year at NYFF. Their films are also the best ones Ive seen here. “Beale Street” takes the top honor for me, however, for reasons Ill explain later in my upcoming review. Ill just say this for now: Barry Jenkins does Jimmy Baldwin proud and, like the directors of the other two films I mentioned, he gives his lead character free rein of the viewers gaze to great dramatic effect. Kulig, Layne and Aparicio each have moments when they pull us into their powerful orbits with just a look or a gesture. Add in “The Favourite, ” “Ash is Purest White” and “3 Faces”  and It was a very good year for actresses. Ill close out on a few notes from the Revivals and Retrospectives sections of the festival. Following up on my last dispatch, I took in the screening of “Detour” and can confirm that it was indeed a splendid restoration. I noticed things I never saw before, including details in a shot I could never make out in prior versions. Its getting a release from Janus Films at the end of November and is well worth the 68-minute investment of your time. In the theater next to my “Detour” screening, NYFF was showing “My Dinner With Andre. ” Our beloved Roger introduced me to that movie on Siskel & Ebert, and his love for it made me rent it when it came out on video. I was 12 or so, and I thought it was the most boring movie Id ever seen. Good Lord, I hated this movie with the heat of a thousand suns. Now, I have no idea why this was being screened, but I considered it a sign! Maybe this was Roger telling me I should revisit the 1981 Louis Malle movie as an adult, because I have more wisdom and life experience now. Since I couldnt be two places at the same time, I had to rent “My Dinner With Andre” on Amazon Prime rather than see it on the big screen. And you know what? It was even worse than I remembered. Its like being trapped in a college professors belly button for 2 hours, but theres no lint in there to mercifully plug your ears to avoid having to listen to him. Forgive me, Roger! Actually, I think Rogers laughing wherever he is, shaking his finger at me with mock shame as he often did. You got me, big guy. See you all next year. Next Article: NYFF 2018: La Flor Previous Article: CIFF 2018: Transit, Non-Fiction Reveal Comments comments powered by.

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THE TIMES OF BILL CUNNINGHAM features incredible photographs chosen from over 3 million previously unpublicized images and documents from iconic street photographer and fashion historian Bill Cunningham. Told in Cunninghams own words from a recently unearthed 1994 interview, the photographer chronicles, in his customarily cheerful and plainspoken manner, moonlighting as a milliner in France during the Korean War, his unique relationship with First Lady Jackie Kennedy, his four decades at The New York Times and his democratic view of fashion and society. Narrated by Sarah Jessica Parker. NR, 74 min. "THE TIMES OF BILL CUNNINGHAM is only 74 minutes long, yet it's a snapshot of a life that leaves you grateful for having encountered it. Variety.

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Who know Bill gates sitting style from childhood. The Times of Bill Download full article. Opens February 14, 2020 1 hr 14 min Documentary Tell us where you are Looking for movie tickets? Enter your location to see which movie theaters are playing The Times of Bill Cunningham near you. ENTER CITY, STATE OR ZIP CODE GO This movie releases on February 14, 2020. Sign up for a FANALERT and be the first to know when tickets and other exclusives are available in your area. Also sign me up for FanMail to get updates on all things movies: tickets, special offers, screenings + more. The Times of Bill Cunningham Synopsis Bill Cunningham, the legendary New York Times photographer and fashion historian, shares his life story in his own words and photographs from his remarkable archive of over 3 million images. Read Full Synopsis Movie Reviews Presented by Rotten Tomatoes.

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Free Download Dabangg 30. SD Movies Point - Free HD Movies Download. Mujhe to bahut achchi lagi ye song agar aap logo ko bhi pasand aaya to like jarur kre dosto👌👌👌👌👌👌❤️❤️❤️❤️❤️❤️. Free Download Dabangg 360. Free Download Dabangg 3.0. Free Download Dabangg 3.2. 1 dislike nd no guilty Bcz today Bollywood criticise the indian akhada sanskrity.

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Free Download Dabangg 3 ans. Dabangg 3 (2019) Download Full Movie Watch Online HD Free Quality. All rounder kicchaa sudeepa. Acted in, Kannada Hindhi Tamil Telugu Malayalam. Next in English. Salman Ali fan💘like👍kare 👍. Free Download Dabangg 3.1. - Download Latest MP3 Songs Online: Play Old & New. Full Movie download free in HD Watch Dabangg 3 Online Free Streaming, Watch Dabangg 3 Online Full Streaming In HD Quality, Let's go to watch the latest movies of your favorite movies, Dabangg 3. come on join us! What happened in this movie? I have a summary for you. It's the first rose ceremony of the movie and the drama is already.

Dabangg 3 Movie Free Download in HD : Dabangg 3, released on 20th December, is a 2019 Indian action comedy film produced by Salman Khan, Arbaaz Khan under the label Salman Khan Films and Arbaaz Khan Production with direction by Prabhu film stars Salman Khan, Kichcha Sudeep, Sonakshi Sinha, Saiee Manjrekar, Arbaaz Khan, and many other actors. Free Download Dabangg 3d. Cap Vikram batra ❤❣. Free download dabangg 3 full movie. Dabangg 3 song download free song. Awesome Bro 👍. Dabangg 3 Full Movie Download Free HD 720p Bluray by MOVIE. Free download dabangg 32. Full of double meaning episode. Free download dabangg 3 full.

How sweet of Salman speaking in Kannada... Movie node nodtihvi. Free Download Dabangg 3.6. Whats Good :
Good story & screenplay by salman
Salman & Saie manjrekar sequence are good one & fresh
Entertaining comedy & fight scene
Emotional scene between chulbul & makhi
Whats Bad :
Song replacement (yu karke)
Lenghty second half
Some bored scene in second half
Whats avarege :
Music & background sound
Hidden layer :
Munna badhnam hua lyric line are hearth contents by salman for Saie
Dabaang 3 is a entertainment movie, better than dabaang 2.
Its because a good acting by salman and good direction by Prabhu Deva. The shooting of Dabangg 3 is still on the midway. The first poster of Dabangg 3 movie was released. Now, people can watch Dabangg 3 first teaser and Official Trailer online and free Download Dabangg 3 Movie Trailer in HD within minutes. Dabangg 3 Movie Watch Online in HD Hindi.

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2:17 what they say here. Salman Khan starrer Dabangg 3 Movie full HD leaked online on torrent website Tamilrockers. The action thriller movie was left for free download within a day of its release in theatres. Directed by Prabhu Deva, the latest Hindi movie also stars Sonakshi Sinha, Saiee Manjrekar, Arbaaz Khan, Sudeep in the crucial roles. RELATED Good Newwz. Dabangg 3 (2019) Movie MP3 Songs Full Album Download. This is called the power of stardom... Free download dabangg 3.

Free Download Dabangg 32. Free download dabangg 3 songs. Sunilkumarchauhan838. Free Download Dabangg 3.3. Dabangg 3 full movie free download 720p. The only loose point. The plot point, as far as we are concerned, was shown to Rajo as being ignorant of the past year's love interest in the hairball, especially considering that the two women knew each other d.

Such a beautiful song ❤️. Salman Bhai is Awesome as always
Full on Entertainment
Action,Comedy, Masala, Songs, Dialogues are the Key Part of the Movie
Kiccha Sudeep Acting is on another level best
Satisfied Watching The Movie.

 

I love this film story. Who else loves T Series❤? I am gifting my next 10 subs🎁💝. Usko to allu arjun ka same same lagtaye 😱😱😱. Download Dabangg 3 (2019. HD TORRENT Movie - BabyTorrent. We all know that Dabangg 3 Movie is a big-budget film made by Salman Khan Films and making a movie is not an easy task. I think most of the movies were leaked for free on internet full movie download 720p of Dabangg 3. Dabangg 3 Full Movie HD Download. Or you can wait for it to stream on Amazon Prime Netflix.

Dabangg 3 Full Movie Watch Online Free HD 2019. Hud Hud - Dabangg 3 - Dabangg 3 (2019) Mp3 Songs Download. Awara - Dabangg 3 mp3 song Download. Free Download Dabangg 36. The love angle didn't work for me. For me Chulbul Pandey's chemistry with Rajjo was kind of epic, I have no idea why Mr. Khan felt like he could create another love story, pull out same old love punches, do love songs and fans will be all over the floor, I definitely was not. I wished Chulbul Pandey's re-vist to the past was something unique than obvious. But if you love to watch Salman Khan playing Salman Khan again, you are most welcome to watch the movie.
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