跟读练习: #1 Machine Learning Specialization [Course 1, Week 1, Lesson 1] - 通过视频学习英语口语
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34 句
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1
Welcome to machine learning.
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What is machine learning?
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You probably use it many times a day without even knowing it.
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Anytime you want to find out something like, how do I make a sushi roll?
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You can do a web search on Google, Bing, or Baidu to find out.
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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
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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.
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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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本课的词汇与口语要点
这节口语课以视频“Machine Learning Specialization”为素材。 视频中反复出现的词有：learning, machine, application, pictures。 这段视频共有 34 个句子、418 个单词可供跟读。 讲话部分时长为 2:38。 说话人语速自然，每分钟约 158 个词，接近日常对话。 85% 的单词属于英语最常用的 3,000 词，其余的词建议在练习前先学一下。
视频中的重点词汇
视频中 15 个值得学习的单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| congratulations | /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/ | 恭喜, 恭喜恭喜 |
| deeply 副词 | /ˈdi(ː)pli/ | 深, 深深 |
| label 名词 | /ˈleɪ.bəl/ | 標籤 /标签, 簽條 /签条 |
| rapidly 副词 | /ˈɹæpɪdli/ | 迅速地, 快速地 |
| pursue 动词 | /pɚˈsu/ | 追求 |
| diagnosis 名词 | /daɪəɡˈnəʊsɪs/ | 診斷 /诊断 |
| implement 动词 | /ˈɪmpləmənt/ | 實施 /实施, 執行 /执行 |
| anytime 副词 | 隨時 /随时, 任何時候 /任何时候 | |
| spam 名词 | /spæm/ | 垃圾郵件 /垃圾邮件, 垃圾信 |
| upload 动词 | /ˈʌpˌloʊd/ | 上載 /上载, 上傳 /上传 |
| explicitly 副词 | 明確地 /明确地 | |
| defect 名词 | /ˈdiːfɛkt/ | 缺點 /缺点, 問題 /问题 |
| sushi 名词 | /ˈsuːʃi/ | 壽司 /寿司, 日本壽司 /日本寿司 |
| inspect 动词 | /ɪnˈspɛkt/ | 調查 /调查, 檢查 /检查 |
| turbine 名词 | /ˈtɜː.baɪn/ | 渦輪機 /涡轮机, 輪機 /轮机 |
视频中出现的短语动词
| 单词 | 释义 |
|---|---|
| find out 动词 | 找出, 查明 |
| end up 动词 | 到达 |
| figure out 动词 | 弄清楚 |
需要注意的发音
说话人用了 8 次缩略和弱读形式，例如 I'm, you're, you've。请按听到的简短形式来说。
- “sh” 和 “zh” 音: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, sushi /ˈsuːʃi/
中文母语者容易读错的音：
- 词尾辅音 — 要读清楚，后面不要加元音: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, rank /ˈɹæŋk/, diagnosis /daɪəɡˈnəʊsɪs/, implement /ˈɪmpləmənt/, upload /ˈʌpˌloʊd/
- /r/ 和 /l/ 的区别: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, rapidly /ˈɹæpɪdli/, learner /ˈlɜɹnəɹ/
- /æ/ — 嘴张大，不要读成 /e/: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, rank /ˈɹæŋk/, rapidly /ˈɹæpɪdli/, spam /spæm/
如何用这段视频练习
- 先完整听一遍视频，不要开口，记下不认识的单词。
- 先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
- 录下自己的声音并与原声对比，特别注意 congratulations, deeply, label 这类单词。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。