Desperate Housewives — Top 100 Words
对于希望通过美剧学习英语的中文观众来说,《Desperate Housewives》是一部宝藏剧集。剧中高频出现的日常词汇如“take care of”(A2)、“freak out”(B2)、“have an affair”(B2)、“give up”(A2)、“for God's sake”(B1)、“find out”(B1)、“lie”(A2)、“go through”(B1)、“work out”(B1)、“move on”(B2)、“sort of”(B1)、“take off”(A2)、“steal”(A2)、“hang out”(B1)、“blackmail”(C1)、“turn out”(B1)、“kill”(A2)、“deal with”(B1)、“wake up”(A1)以及“kill oneself”(B2)覆盖了从A1到C2的常见CEFR等级。剧中Susan Mayer的冒失、Lynette Scavo的家庭挣扎、Bree Van de Kamp的完美主义以及Gabrielle Solis的戏剧化生活,让这些词汇在真实对话中反复出现,非常适合通过语境记忆。
使用SaveWordly,你可以真正享受观看而不被打断或暂停。它的工作流程非常顺畅:先浏览我们为你整理的该集词表,熟悉单词含义与例句——然后放心地观看剧集,完全停止或暂停——看完后,把你想巩固的单词一键保存到个人词库——最后,用AI口语教练进行互动练习,让这些词汇真正内化。这样你既不会错过剧中的幽默与情节,又能高效积累地道表达。
这部剧的语言难度大致在B1到B2之间,适合已有基础词汇的学习者。不过即使是A2水平的初学者,也能从反复出现的短语(如“take care of”、“wake up”)中快速获得成就感。掌握这些高频词后,你会发现自己能更自然地跟上角色的对话节奏。
| # | Word / Phrase | Level | Count | |
|---|---|---|---|---|
| 1 | take care of | B1 | 17 | + |
| 2 | freak out | B2 | 14 | + |
| 3 | have an affair | B1 | 13 | + |
| 4 | give up | B1 | 13 | + |
| 5 | for God's sake | B1 | 13 | + |
| 6 | find out | B1 | 13 | + |
| 7 | lie | B1 | 12 | + |
| 8 | go through | B1 | 12 | + |
| 9 | work out | B1 | 11 | + |
| 10 | move on | B1 | 10 | + |
| 11 | sort of | A2 | 10 | + |
| 12 | take off | B1 | 9 | + |
| 13 | steal | B1 | 9 | + |
| 14 | hang out | B1 | 8 | + |
| 15 | blackmail | B2 | 8 | + |
| 16 | turn out | B1 | 8 | + |
| 17 | kill | B1 | 8 | + |
| 18 | deal with | B1 | 8 | + |
| 19 | wake up | A2 | 8 | + |
| 20 | kill oneself | B1 | 8 | + |
| 21 | get out | A2 | 8 | + |
| 22 | cheat on | B1 | 8 | + |
| 23 | humiliate | B2 | 7 | + |
| 24 | pick up | A2 | 7 | + |
| 25 | leave behind | B1 | 7 | + |
| 26 | stop by | B1 | 7 | + |
| 27 | set up | B1 | 7 | + |
| 28 | abandon | B2 | 7 | + |
| 29 | lose one's mind | B2 | 7 | + |
| 30 | handle | B1 | 7 | + |
| 31 | what the hell | B1 | 6 | + |
| 32 | deserve | B1 | 6 | + |
| 33 | break into | B1 | 6 | + |
| 34 | change one's mind | B1 | 6 | + |
| 35 | hide | B1 | 6 | + |
| 36 | show up | B1 | 6 | + |
| 37 | calm down | B1 | 6 | + |
| 38 | check out | B1 | 6 | + |
| 39 | forgive | B1 | 6 | + |
| 40 | go to the police | B1 | 6 | + |
| 41 | fix | B1 | 6 | + |
| 42 | beg | B1 | 6 | + |
| 43 | break up with | B1 | 6 | + |
| 44 | get rid of | B1 | 6 | + |
| 45 | leave | A2 | 6 | + |
| 46 | hold | B1 | 6 | + |
| 47 | upset | B1 | 6 | + |
| 48 | take it easy | B1 | 6 | + |
| 49 | ask out | B1 | 6 | + |
| 50 | throw out | B1 | 5 | + |
| 51 | look forward to | B1 | 5 | + |
| 52 | make love | B2 | 5 | + |
| 53 | go to hell | B2 | 5 | + |
| 54 | run into | B1 | 5 | + |
| 55 | go ahead | A2 | 5 | + |
| 56 | come on | A2 | 5 | + |
| 57 | move out | B1 | 5 | + |
| 58 | miss | A2 | 5 | + |
| 59 | ruin | B1 | 5 | + |
| 60 | keep a secret | A2 | 5 | + |
| 61 | make fun of | B1 | 5 | + |
| 62 | break up | B1 | 5 | + |
| 63 | plumber | B1 | 5 | + |
| 64 | screw up | B2 | 5 | + |
| 65 | mess up | B1 | 5 | + |
| 66 | sleep with | B1 | 5 | + |
| 67 | suit yourself | B1 | 5 | + |
| 68 | freak | B2 | 5 | + |
| 69 | shut up | A2 | 5 | + |
| 70 | figure out | B1 | 5 | + |
| 71 | occur to | B2 | 5 | + |
| 72 | blame | B1 | 5 | + |
| 73 | move | A2 | 5 | + |
| 74 | pack up | B1 | 5 | + |
| 75 | burn down | B1 | 5 | + |
| 76 | come by | B1 | 5 | + |
| 77 | end up | B1 | 4 | + |
| 78 | deliver | B1 | 4 | + |
| 79 | quit | B1 | 4 | + |
| 80 | liar | B1 | 4 | + |
| 81 | do the right thing | B1 | 4 | + |
| 82 | put out | B1 | 4 | + |
| 83 | make it up | B1 | 4 | + |
| 84 | pack | B1 | 4 | + |
| 85 | big deal | B1 | 4 | + |
| 86 | get along | B1 | 4 | + |
| 87 | cancel | B1 | 4 | + |
| 88 | in the mood | B1 | 4 | + |
| 89 | feel sorry for | B1 | 4 | + |
| 90 | hang on | B1 | 4 | + |
| 91 | provide | B1 | 4 | + |
| 92 | what brings you here | B1 | 4 | + |
| 93 | start over | B1 | 4 | + |
| 94 | tell the truth | A2 | 4 | + |
| 95 | pregnant | B1 | 4 | + |
| 96 | so help me | B2 | 4 | + |
| 97 | mow the lawn | B1 | 4 | + |
| 98 | bet | B1 | 4 | + |
| 99 | screwed | B2 | 4 | + |
| 100 | spank | B1 | 4 | + |
* These frequency counts are approximate values based on AI-extracted vocabulary data.