跟讀練習: #1 Machine Learning Specialization [Course 1, Week 1, Lesson 1] - 通過影片學習英語口語
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34 句
如果句子過短或過長，請點選 Edit 進行調整。
1
Welcome to machine learning.
2
What is machine learning?
3
You probably use it many times a day without even knowing it.
4
Anytime you want to find out something like, how do I make a sushi roll?
5
You can do a web search on Google, Bing, or Baidu to find out.
6
And that works so well because their machine learning software has figured out how to rank web pages.
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Or when you upload pictures to instagram or snapchat
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and think to yourself i want to tag my friends so they can see their pictures
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well these apps can recognize your friends in your pictures
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and label them as well that's also machine learning or
11
if you've just finished watching a star wars movie on a video streaming service
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and you think what other similar movies could i watch well
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the streaming service will likely use machine learning to recommend something
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that you might like each time you use voice to text
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on your phone to write a text message hey Andrew how's it going
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or tell your phone hey Siri play a song by Rihanna
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or ask your other phone okay Google show me Indian restaurants
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near me that's also machine learning each time you receive an
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email titled congratulations you've won a million dollars well maybe you're rich congratulations
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or more likely your email service will probably flag it as spam.
21
That too is an application of machine learning.
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Beyond consumer applications that you might use, AI is also rapidly making its way into big companies and into industrial applications. For example,
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I'm deeply concerned about climate change and I'm glad to see
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that machine learning is already hoping to optimize wind turbine power a generation.
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Or in healthcare, it's starting to make its way into hospitals to help doctors make accurate diagnoses.
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For recently, at Learning AI, I've been doing a lot of work putting computer vision into factories to help inspect
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if something coming off the assembly line has any defects.
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That's machine learning.
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It's a science of getting computers to learn without being explicitly programmed.
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In this class, you learn about machine learning and get to implement machine learning in code yourself.
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Millions of others have taken the earlier version of this course, which is a course that led to the founding of Coursera,
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and many learners ended up building exciting machine learning systems or even pursuing very successful careers in AI.
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I'm excited that you're on this journey with me.
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Welcome, and let's get started.
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本課的詞彙與口語要點
這節口語課以影片“Machine Learning Specialization”為素材。 影片中反覆出現的詞有：learning, machine, application, pictures。 這段影片共有 34 個句子、418 個單詞可供跟讀。 講話部分時長為 2:38。 說話人語速自然，每分鐘約 158 個詞，接近日常對話。 85% 的單詞屬於英語最常用的 3,000 詞，其餘的詞建議在練習前先學一下。
影片中的重點詞彙
影片中 15 個值得學習的單詞，附發音和釋義：
| 單詞 | 發音 | 釋義 |
|---|---|---|
| congratulations | /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/ | 恭喜, 恭喜恭喜 |
| deeply 副詞 | /ˈdi(ː)pli/ | 深, 深深 |
| label 名詞 | /ˈleɪ.bəl/ | 標籤 /標籤, 簽條 /籤條 |
| rapidly 副詞 | /ˈɹæpɪdli/ | 迅速地, 快速地 |
| pursue 動詞 | /pɚˈsu/ | 追求 |
| diagnosis 名詞 | /daɪəɡˈnəʊsɪs/ | 診斷 /診斷 |
| implement 動詞 | /ˈɪmpləmənt/ | 實施 /實施, 執行 /執行 |
| anytime 副詞 | 隨時 /隨時, 任何時候 /任何時候 | |
| spam 名詞 | /spæm/ | 垃圾郵件 /垃圾郵件, 垃圾信 |
| upload 動詞 | /ˈʌpˌloʊd/ | 上載 /上載, 上傳 /上傳 |
| explicitly 副詞 | 明確地 /明確地 | |
| defect 名詞 | /ˈdiːfɛkt/ | 缺點 /缺點, 問題 /問題 |
| sushi 名詞 | /ˈsuːʃi/ | 壽司 /壽司, 日本壽司 /日本壽司 |
| inspect 動詞 | /ɪnˈspɛkt/ | 調查 /調查, 檢查 /檢查 |
| turbine 名詞 | /ˈtɜː.baɪn/ | 渦輪機 /渦輪機, 輪機 /輪機 |
影片中出現的短語動詞
| 單詞 | 釋義 |
|---|---|
| find out 動詞 | 找出, 查明 |
| end up 動詞 | 到達 |
| figure out 動詞 | 弄清楚 |
需要注意的發音
說話人用了 8 次縮略和弱讀形式，例如 I'm, you're, you've。請按聽到的簡短形式來說。
- “sh” 和 “zh” 音: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, sushi /ˈsuːʃi/
中文母語者容易讀錯的音：
- 詞尾子音 — 要讀清楚，後面不要加母音: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, rank /ˈɹæŋk/, diagnosis /daɪəɡˈnəʊsɪs/, implement /ˈɪmpləmənt/, upload /ˈʌpˌloʊd/
- /r/ 和 /l/ 的區別: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, rapidly /ˈɹæpɪdli/, learner /ˈlɜɹnəɹ/
- /æ/ — 嘴張大，不要讀成 /e/: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, rank /ˈɹæŋk/, rapidly /ˈɹæpɪdli/, spam /spæm/
如何用這段影片練習
- 先完整聽一遍影片，不要開口，記下不認識的單詞。
- 先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
- 錄下自己的聲音並與原聲對比，特別注意 congratulations, deeply, label 這類單詞。
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。