Breaking Bad — Top 100 Words
对于通过美剧学习英语的观众,Breaking Bad 提供了大量实用的高频动词短语和口语表达。例如,Walter White 常使用的 "cook"(A1,但在此处指制毒)和 Jesse Pinkman 脱口而出的 "son of a bitch"(B2)贯穿全剧;日常对话中频繁出现 "pick up"(A2)、"check out"(A2)、"figure out"(B1)、"shut up"(A2)、"what the hell"(B1)、"hold up"(B1)、"come on"(A1)、"help out"(B1)、"take care of"(A2)、"what's up"(A1)、"set up"(B1)、"wind up"(B2)、"give up"(A2)、"work out"(B1)、"deal with"(B1)、"mess up"(B1)、"let go"(B1)、"bullshit"(B2)等词汇。这些词语在 Hank Schrader 的搜证场景和 Gus Fring 的冷静对话中反复出现,让学习者自然掌握不同语境下的用法。
SaveWordly 让你在享受剧情时不再需要频繁暂停查词。核心流程是:先浏览剧集对应的单词列表(如上述高频词)——然后无间断观看《Breaking Bad》——观看结束后,将你想记住的词汇一键保存——最后通过 AI 口语导师练习这些单词,直到它们真正内化。这种方式让你全程沉浸于 Walter White 和 Jesse Pinkman 的精彩对手戏中,而词汇学习则自然发生在观前准备和观后复习环节。
从英语水平上看,《Breaking Bad》适合中级学习者(CEFR B1-B2),因其包含大量日常生活和犯罪题材的高频短语;高级学习者(C1-C2)也能从 Mike Ehrmantraut 的冷幽默和 Skyler White 的商务用语中获得提升。剧中反复出现的 "deal with" 和 "let go" 等表达,是突破口语瓶颈的理想素材。
| # | Word / Phrase | Level | Count | |
|---|---|---|---|---|
| 1 | pick up | A2 | 26 | + |
| 2 | check out | B1 | 25 | + |
| 3 | figure out | B1 | 23 | + |
| 4 | cook | B1 | 23 | + |
| 5 | shut up | A2 | 22 | + |
| 6 | what the hell | B1 | 18 | + |
| 7 | come on | A2 | 17 | + |
| 8 | hold up | B1 | 17 | + |
| 9 | help out | B1 | 16 | + |
| 10 | son of a bitch | B2 | 16 | + |
| 11 | wind up | B2 | 15 | + |
| 12 | give up | B1 | 15 | + |
| 13 | take care of | B1 | 15 | + |
| 14 | what's up | A2 | 15 | + |
| 15 | set up | B1 | 15 | + |
| 16 | deal with | B1 | 13 | + |
| 17 | work out | B1 | 13 | + |
| 18 | stop by | B1 | 12 | + |
| 19 | appreciate | B1 | 12 | + |
| 20 | mess up | B1 | 12 | + |
| 21 | show up | B1 | 12 | + |
| 22 | let go | B1 | 12 | + |
| 23 | bullshit | B2 | 12 | + |
| 24 | make sense | A2 | 11 | + |
| 25 | figure | B1 | 11 | + |
| 26 | handle | B2 | 10 | + |
| 27 | wake up | A2 | 10 | + |
| 28 | swear to God | B1 | 10 | + |
| 29 | screw up | B2 | 10 | + |
| 30 | get rid of | B1 | 10 | + |
| 31 | do a favor | A2 | 10 | + |
| 32 | find out | B1 | 9 | + |
| 33 | hold on | A2 | 9 | + |
| 34 | end of story | B1 | 9 | + |
| 35 | go through | B1 | 9 | + |
| 36 | come up with | B1 | 9 | + |
| 37 | go ahead | B1 | 9 | + |
| 38 | get out | A2 | 9 | + |
| 39 | track down | B2 | 9 | + |
| 40 | talk through | B2 | 9 | + |
| 41 | get | A2 | 9 | + |
| 42 | owe | B1 | 9 | + |
| 43 | get out of here | A2 | 9 | + |
| 44 | call back | A2 | 8 | + |
| 45 | bring up | B2 | 8 | + |
| 46 | keep an eye on | B1 | 8 | + |
| 47 | keep one's mouth shut | B2 | 8 | + |
| 48 | scumbag | C1 | 8 | + |
| 49 | look into | B1 | 8 | + |
| 50 | get through | B2 | 8 | + |
| 51 | steal | A2 | 8 | + |
| 52 | kick ass | B2 | 8 | + |
| 53 | come in | A2 | 8 | + |
| 54 | bust | B2 | 8 | + |
| 55 | waste | B1 | 8 | + |
| 56 | blow up | B1 | 8 | + |
| 57 | break down | B1 | 8 | + |
| 58 | go on | B1 | 7 | + |
| 59 | in charge of | B1 | 7 | + |
| 60 | on one's own | B1 | 7 | + |
| 61 | make sure | A2 | 7 | + |
| 62 | hit | B2 | 7 | + |
| 63 | go down | B1 | 7 | + |
| 64 | backup | B1 | 7 | + |
| 65 | money laundering | B2 | 7 | + |
| 66 | think about | A2 | 7 | + |
| 67 | turn down | B1 | 7 | + |
| 68 | kick out | B1 | 7 | + |
| 69 | get high | B2 | 7 | + |
| 70 | get it | A2 | 7 | + |
| 71 | slow down | B1 | 7 | + |
| 72 | off | B1 | 7 | + |
| 73 | take over | B1 | 7 | + |
| 74 | take off | B1 | 7 | + |
| 75 | pay off | B1 | 7 | + |
| 76 | back up | B2 | 7 | + |
| 77 | come by | B1 | 7 | + |
| 78 | brother-in-law | B1 | 7 | + |
| 79 | get off | B1 | 7 | + |
| 80 | for real | B1 | 7 | + |
| 81 | bomb | B2 | 7 | + |
| 82 | change one's mind | B1 | 7 | + |
| 83 | cook meth | B2 | 7 | + |
| 84 | there you go | A2 | 6 | + |
| 85 | quit | B1 | 6 | + |
| 86 | no way | A2 | 6 | + |
| 87 | bounce | B2 | 6 | + |
| 88 | launder | B2 | 6 | + |
| 89 | move on | B1 | 6 | + |
| 90 | earn | A2 | 6 | + |
| 91 | take out | B1 | 6 | + |
| 92 | drop off | B1 | 6 | + |
| 93 | follow | A2 | 6 | + |
| 94 | genius | B2 | 6 | + |
| 95 | pull off | B2 | 6 | + |
| 96 | sure as hell | B2 | 6 | + |
| 97 | snitch | B2 | 6 | + |
| 98 | take it easy | B1 | 6 | + |
| 99 | freak out | B2 | 6 | + |
| 100 | drug dealer | B1 | 6 | + |
* These frequency counts are approximate values based on AI-extracted vocabulary data.