Finding Nemo — Top 100 Words
如果你是通過《Finding Nemo》學英語的影迷,會發現片中充滿日常高頻詞彙,例如「get out」(A1)、「dive」(A2)、「look out」(A2)、「tell」(A1)、「filthy」(B1)、「tentacle」(B2)、「lose」(A2)、「swim through」(A2)、「rock」(A1)、「come back」(A1)、「get back」(A1)、「get it」(A2)、「save」(A1)、「favor」(B1)、「grab」(B1)、「give up」(B1)、「crikey」(C2)、「blow up」(B1)、「fella」(B1)、「go」(A1)。這些詞在Marlin尋找Nemo的冒險中反覆出現——從他對Dory喊「look out!」躲避水母,到Crush說「crikey」時的驚嘆,都讓學習者自然記住語境。尤其適合A2-B1學習者,因為劇情簡單、對話重複度高。
使用SaveWordly,你可以真正享受觀看而不暫停:先瀏覽我們整理的單詞列表(包含上述所有詞彙),然後完整看完一集《Finding Nemo》——不需要按暫停鍵。看完後,回到SaveWordly將你感興趣的詞(如Marlin的「give up」或Gill的「blow up」計劃)一鍵保存。最後用AI導師模擬對話練習,例如模仿Nemo對爸爸說「I'll get back safely」,讓詞彙徹底記住。整個流程專為「不中斷觀影體驗」設計。
這部電影的語言難度落在A1到B1之間,B2詞彙(如「tentacle」)較少;若你已達A2程度,完全能聽懂大部分台詞。建議先從Marlin與Dory的對話切入,再挑戰水母區的緊張台詞——你會發現「swim through」和「get out」這樣的短語在劇情中格外好記。
| # | Word / Phrase | Level | Count | |
|---|---|---|---|---|
| 1 | get out | A2 | 4 | + |
| 2 | dive | B1 | 2 | + |
| 3 | look out | B1 | 2 | + |
| 4 | tell | A1 | 2 | + |
| 5 | filthy | B2 | 2 | + |
| 6 | tentacle | B2 | 2 | + |
| 7 | lose | B1 | 2 | + |
| 8 | swim through | B1 | 2 | + |
| 9 | rock | B1 | 2 | + |
| 10 | come back | A2 | 2 | + |
| 11 | get back | A2 | 2 | + |
| 12 | get it | A2 | 2 | + |
| 13 | save | B1 | 2 | + |
| 14 | favor | B2 | 2 | + |
| 15 | grab | B1 | 2 | + |
| 16 | give up | B1 | 2 | + |
| 17 | crikey | B1 | 2 | + |
| 18 | blow up | B1 | 2 | + |
| 19 | fella | B1 | 2 | + |
| 20 | go | A2 | 2 | + |
| 21 | mate | B1 | 2 | + |
| 22 | scan | B1 | 2 | + |
| 23 | take | A2 | 2 | + |
| 24 | take on | B1 | 2 | + |
| 25 | nerves can't take | B2 | 1 | + |
| 26 | go in there | B1 | 1 | + |
| 27 | catch me if you can | B1 | 1 | + |
| 28 | carry on | B1 | 1 | + |
| 29 | clean | A2 | 1 | + |
| 30 | dare | B1 | 1 | + |
| 31 | desirable | B2 | 1 | + |
| 32 | play dead | B1 | 1 | + |
| 33 | give it a shot | B2 | 1 | + |
| 34 | vague on the details | C1 | 1 | + |
| 35 | relative | B1 | 1 | + |
| 36 | surplus | B2 | 1 | + |
| 37 | scared | A2 | 1 | + |
| 38 | lucky fin | B1 | 1 | + |
| 39 | find | A1 | 1 | + |
| 40 | state | B2 | 1 | + |
| 41 | stop at nothing | C1 | 1 | + |
| 42 | be used to | B1 | 1 | + |
| 43 | porcelain express | C1 | 1 | + |
| 44 | starving | B1 | 1 | + |
| 45 | feel better | A2 | 1 | + |
| 46 | know everything | B1 | 1 | + |
| 47 | insane | B2 | 1 | + |
| 48 | give it all one's got | B2 | 1 | + |
| 49 | land on | B1 | 1 | + |
| 50 | when life gets one down | B2 | 1 | + |
| 51 | inspiration | B2 | 1 | + |
| 52 | optical orbit | C1 | 1 | + |
| 53 | wish | B1 | 1 | + |
| 54 | think dirty thoughts | B2 | 1 | + |
| 55 | panic | B1 | 1 | + |
| 56 | forget | A2 | 1 | + |
| 57 | have | A2 | 1 | + |
| 58 | beat that | B1 | 1 | + |
| 59 | deliver | B2 | 1 | + |
| 60 | love a duck | C1 | 1 | + |
| 61 | ask for directions | B1 | 1 | + |
| 62 | big ol' blue | B2 | 1 | + |
| 63 | miles from home | B1 | 1 | + |
| 64 | cross-section | B2 | 1 | + |
| 65 | quit it | B1 | 1 | + |
| 66 | five more minutes | A2 | 1 | + |
| 67 | spot | B1 | 1 | + |
| 68 | krill | B2 | 1 | + |
| 69 | current | B1 | 1 | + |
| 70 | mummy | A2 | 1 | + |
| 71 | dodgy | B2 | 1 | + |
| 72 | pick up | A2 | 1 | + |
| 73 | do great | B1 | 1 | + |
| 74 | stop | A2 | 1 | + |
| 75 | periodontal ligament | C1 | 1 | + |
| 76 | miss | A2 | 1 | + |
| 77 | natural blue | B2 | 1 | + |
| 78 | help oneself | B1 | 1 | + |
| 79 | hurt | A2 | 1 | + |
| 80 | see you later | A2 | 1 | + |
| 81 | taste | A2 | 1 | + |
| 82 | 48 hours | A2 | 1 | + |
| 83 | rotating fan | B2 | 1 | + |
| 84 | make sense | B1 | 1 | + |
| 85 | clock | C1 | 1 | + |
| 86 | stay close | B1 | 1 | + |
| 87 | pH balance | B2 | 1 | + |
| 88 | roll it | B1 | 1 | + |
| 89 | grab shell | A2 | 1 | + |
| 90 | jam the gears | B2 | 1 | + |
| 91 | struggle for life | B2 | 1 | + |
| 92 | get lost | B1 | 1 | + |
| 93 | come this far | B2 | 1 | + |
| 94 | scary | B1 | 1 | + |
| 95 | curl away | B2 | 1 | + |
| 96 | bother | B1 | 1 | + |
| 97 | by the looks of | B1 | 1 | + |
| 98 | odds are | B2 | 1 | + |
| 99 | smack | B2 | 1 | + |
| 100 | upset stomach | B1 | 1 | + |
* These frequency counts are approximate values based on AI-extracted vocabulary data.