Pratique du Shadowing: Advanced Vocabulary and Fluency Practice with the News - Apprendre l'anglais à l'oral avec la vidéo
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Let's improve your professional English by learning advanced vocabulary and expressions from a recent news article.
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At the end of the lesson, I will read parts of the article
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and you will have a chance to repeat after me so that you can improve your speaking fluency and your accent.
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This article is from the Los Angeles Times.
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The article talks about the fact that 50% of all american workers are worried
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that ai artificial intelligence will take their job what about you do you think
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that ai could replace your job in the future do you think
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that your job is in danger
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because of ai the title of the article is companies keep
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slashing jobs how worried should workers be about ai replacing them to slash means to cut
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or to reduce something drastically or suddenly so
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when companies slash jobs they are laying off a large number
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of employees usually to save money before we look at the first paragraph i want to quickly let you know
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that this entire lesson is available as a downloadable pdf
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if you've already purchased my course 400 advanced words you must
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know for fluent english you now have access to a free bonus section called free bonus lessons mastering vocabulary from today's news.
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This free bonus course includes 11 recent newspaper articles that I covered in my previous videos,
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and it includes all of the definitions and practice exercises that I'm teaching you in this video,
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plus extra speaking questions to help you use the words in your own sentences, and that way you're much more likely to remember them.
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If you haven't joined the course yet be sure to check
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out the link below to get more information the course includes
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seven hours of video content downloadable pdfs for all of the lessons quizzes to test your progress
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and i talk a lot about the american accent i go
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over key pronunciation rules to help you sound more natural
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and more confident
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when you're using these new words okay let's get started with the first part of the article tech executives economists
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and other experts say that ai could automate mundane and tedious tasks
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and also create new roles tech companies that are cutting jobs
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and leaning more on artificial intelligence are also disrupting themselves let's
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look at the word mundane it says ai could automate mundane and tedious tasks mundane means boring or repetitive tasks.
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If something is mund and not interesting.
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For can say washing dishes c job became mundane after we can say she got tired
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mundane tasks every day to how some other people feel like things are just focusing on something so mundane and so unimportant.
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Even experts spend most of the time doing mundane repetitive tasks.
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Let's look at tedious, mundane and tedious tasks.
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And if something is tedious, it takes a long time and it's boring.
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And we can say copying data by hand is a tedious job.
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That lecture was long and tedious.
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It was a tedious task to clean every corner of the house.
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Is your work tedious?
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Let's listen to how some other people used it.
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This can be a very slow, frustrating, tedious process.
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Well, this is a tedious, incredibly time-consuming process.
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The labs were so tedious, I said, this is not for me.
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So I switched to English.
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Let's look at leaning.
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Cutting jobs and leaning more on artificial intelligence.
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That means they're depending on it more.
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To lean on is to depend on or to rely on something or someone.
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For example, I can say, I can always lean on my friends for support.
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Many people lean on technology to help them work.
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Do you have someone in your life that you can lean on?
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And you can tell your friends, you can lean on me.
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And that means I'm always available for you.
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I'm here if you need me you can lean on me
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and do you know the name of this very famous tower
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it's the leaning tower of pisa let's look at the next paragraph at salesforce a software company
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that helps businesses manage customer relationships chief executive mark benioff said last week
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that ai is already doing 30 to 50 percent of the
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company's work other tech leaders have chimed in earlier this year
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anthropic an ai startup flashed a big warning ai could wipe
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out more than half of all entry-level white-collar jobs in the
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next one to five years let's look at to chime in other tech leaders chimed in.
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That means they gave their opinion.
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To chime in is to join or to add your comment in a conversation.
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For example, we can say, he chimed in with his thoughts during the meeting.
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If you would like to add something, please chime in.
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Let's listen to how some other people use to chime in.
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Allison and Teresa, I invite you both to chime in.
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Let me start and then Richard can chime in.
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Want to chime in on that, Randy?
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And let's look at to wipe out.
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AI could wipe out more than half of all entry-level white-collar jobs.
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To wipe out means to completely remove or to destroy.
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We can say one bad investment wiped out all of his savings.
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The flood wiped out the village.
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Let's look at entry-level white-collar jobs.
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These are the types of jobs that AI may replace first.
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A white-collar job is an office job, and an entry-level job is the job that you do when you first start your career.
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We can say, he's looking for an entry-level job in finance.
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She got an entry-level white-collar job at the bank.
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Let's look at the next paragraph.
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Ready or not, AI is reshaping,
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displacing, and creating new roles as technology's impact on the job market ripples across multiple sectors.
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The AI frenzy has fueled anxiety from workers who fear their jobs could be automated.
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Roughly half of U.S workers are worried about how AI may be used in the workplace in the future,
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and few think AI will lead to more job opportunities in the long run.
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According to a Pew Research Center report, let's look at the verb to ripple.
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The article says, as technology's impact on the job market ripples across multiple sectors.
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AI's impact is rippling across industries.
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And that means it is spreading and it is affecting many areas.
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So to ripple is to spread out slowly like waves.
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This is a ripple.
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We can say the wind created small ripples on the surface of the lake.
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But you can also use to ripple this way.
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The news rippled through the company.
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Or we can say a ripple effect.
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The new policy had a ripple effect on all departments.
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And let's look at frenzy.
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The article says the AI frenzy has fueled anxiety from workers.
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Frenzy is anxiety or excitement.
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For example, we can say a buying frenzy.
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The holiday sales caused a shopping frenzy.
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We can also say a frenzy of excitement or a frenzy of fear or a frenzy of panic.
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Let's look at the verb to fuel.
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The AI frenzy has fueled anxiety from workers.
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And if you fuel something, you make it stronger and it grows faster.
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And we usually use it this way, to fuel a fire.
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Dry wood and leaves helped fuel the fire or to fuel a car.
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They stopped to fuel the car before continuing their journey.
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But we can also use to fuel this way, to fuel growth.
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Technology continues to fuel economic growth.
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We can also say to fuel anger, to fuel fear, or to fuel ambition.
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Her struggles fueled her ambition to succeed.
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If you've been watching my videos recently, then you know the meaning of the next word, roughly.
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Roughly half of US workers are worried.
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Roughly means approximately or about.
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You can say roughly 30 people came to the meeting.
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The trip cost roughly $500.
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And let's look at few.
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Do you know the difference between few and a few?
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It's a pretty big difference look at this example.
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What is the difference between these two sentences?
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I have a few problems or I have few problems.
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Which one is preferable?
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Which one is better?
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It's better to have few problems.
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That means you have very few problems.
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You don't have very many problems.
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You want to express the fact that there's a lack of problems.
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But if you say I have a few problems, then it means you do have some problems.
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So that little article, a, completely changes the meaning.
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The article says, few think that AI will lead to more job opportunities.
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And that means that almost nobody thinks that AI will lead to more job opportunities.
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In fact, it's the opposite.
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They think that there will be fewer jobs because of AI.
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They're pessimistic about it.
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Have you ever used idiomatic expression in the long run, the article states, will lead to more job opportunities in the long run.
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In the long run means over a long period of time.
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For example, you can say, it may be hard now, but it's better in the long run.
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Saving money is smart in the long run.
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It's a very common expression.
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Let's listen to how some other people used it.
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But right now, as much as it hurts, in the the long run, you're going to be happy that you did it.
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What do you think might happen in the long run, Eric?
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So you might as well live by your values because in the long run, that's the best way to live.
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Let's look at another paragraph.
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The heightened fear comes as major tech companies, such as Microsoft, Intel, Amazon,
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and Meta, cut workers, push for more efficiency,
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and promote their ai tools tech companies have rolled out ai powered features
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that can generate code analyze data develop apps
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and help complete other tedious tasks ai isn't just taking jobs
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it's really rewriting the rule book on what work even looks
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like right now said robert lucido senior director of strategic advisory
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at magnet a company based in fulsom california to heighten is a verb in the past tense is heightened
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and it's also an adjective heightened let's pronounce it correctly first
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repeat after me heightened heightened heightened fear heightened means increased or made stronger
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we can say the news heightened my anxiety his speech heightened
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our awareness let's look at the phrasal verb to roll out tech companies have rolled out ai-powered features and
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that means tech companies are rolling out new ai tools they are releasing them to roll out is to introduce
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or to launch something new we can say the company rolled
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out a new product they will roll out the service next week.
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The school rolled out a new program.
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Let's look at the idiomatic expression to rewrite the rule book.
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AI is rewriting the rule book.
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To rewrite the rule book is to change the normal way that things are done.
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For example, we can say he rewrote the rule book on how to run a business.
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He did it in his own way.
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He did it in an original way.
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We can say her new way of teaching is rewriting the rule book in education.
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And AI is rewriting the rule book for many jobs.
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And now let's read parts of the article again to practice your accent.
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I will read and I will pause to give you a chance to repeat.
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And pay attention to which words I'm stressing and pay attention to how I'm connecting the words and where I'm pausing.
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And try to do exactly the same thing so that your accent can sound natural.
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And of course, pay attention to the pronunciation of the words also.
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Okay, repeat after me.
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Tech executives, economists, and other experts
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say that AI could automate mundane and tedious tasks and also create new roles.
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Tech companies that are cutting jobs and leaning more on artificial intelligence are also disrupting themselves.
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At Salesforce, a software company that helps businesses manage customer relationships,
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Chief Executive Mark Benyoff said last week,
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that AI is already doing 30 to 50% of the company's work.
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Other tech leaders have chimed in.
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Earlier this year, Anthropic, an AI startup, flashed a big warning.
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AI could wipe out more than half of all entry-level white-collar jobs in the next one to five years.
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Ready or not, AI is reshaping, displacing, and creating new roles.
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As technology's impact on the job market ripples across multiple sectors.
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The AI frenzy has fueled anxiety from workers who fear their jobs could be automated.
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Roughly half of US workers are worried about how AI may be used in the workplace in the future.
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And few think AI will lead to more job opportunities in the long run.
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According to a Pew Research Center report,
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the heightened fear comes as major tech companies such as Microsoft,
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Intel, Amazon, and Meta.
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Cut workers push for more efficiency and promote their AI tools.
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Tech companies have rolled out AI-powered features that can generate code,
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analyze data, develop apps, and help complete other tedious tasks.
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AI isn't just taking jobs.
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It's really rewriting the rulebook.
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on what work even looks like right now.
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And remember, this whole lesson is available as a downloadable PDF
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plus the lessons of 10 other previous videos
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that I made on YouTube where I was teaching you expressions and vocabulary from the newspaper.
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And this is a free bonus section to the course 400 Advanced Words You Must Know for Fluent English.
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To learn more about that course, plus the other Accurate English courses, go to accurateenglish.com.
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Thanks for watching and keep practicing your English.
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau B2 s’appuie sur la vidéo « Advanced Vocabulary and Fluency Practice with the News ». Les mots qui reviennent le plus souvent : tedious, tech, article, fuel, frenzy. Cette vidéo contient 206 phrases et 2307 mots à répéter en shadowing. La partie parlée dure 17:51. Le locuteur parle à un rythme régulier d’environ 129 mots par minute, confortable pour le shadowing. 82 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| tedious adjectif | /ˈtiː.dɪəs/ | fastidieux, laborieux |
| ripple nom | /ˈɹɪp(ə)l/ | ondulation |
| chime verbe | /tʃaɪm/ | carillonner |
| frenzy nom | /ˈfɹɛnzi/ | frénésie |
| heighten verbe | /ˈhaɪ̯.tən/ | hausser |
| lean verbe | /ˈliːn/ | pencher |
| rewrite verbe | /ɹiˈɹaɪt/ | réécrire, récrire |
| wipe verbe | /waɪp/ | essuyer |
| collar nom | /ˈkɑlɚ/ | col |
| automate verbe | /ˈɔ.təˌmeɪt/ | automatiser |
| verb nom | /vɝb/ | verbe |
| paragraph nom | /ˈpæɹəɡɹæf/ | paragraphe, alinéa |
| accent nom | /ækˈsɛnt/ | accent |
| downloadable adjectif | /ˌdaʊnˈloʊd.ə.bl̩/ | téléchargeable |
| vocabulary nom | /vəˈkæb.jə.lə.ɹi/ | vocabulaire, lexique |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| roll out verbe | déployer, sortir |
| wipe out verbe | anéantir |
| lay off verbe | virer, licencier |
Des phrases à répéter
Des phrases courtes et complètes de la vidéo, à réutiliser dans la conversation de tous les jours :
- Let's look at tedious, mundane and tedious tasks.
- Is your work tedious?
- Let's listen to how some other people used it.
- Do you have someone in your life that you can lean on?
- Let's look at entry-level white-collar jobs.
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | you've already purchased · haven't joined · have chimed |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | could be automated · may be used · is heightened |
Prononciation à surveiller
Le locuteur utilise 17 contractions et formes réduites, comme I'm, you're, isn't. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: reshape /ɹiːˈʃeɪ̯p/, pronunciation /pɹəˌnʌn.siˈeɪ.ʃən/, ambition /æmˈbɪʃ.ən/
- Mots longs — placez bien l’accent: vocabulary /vəˈkæb.jə.lə.ɹi/, idiomatic /ˌɪd.iː.əˈmat.ɪk/, pronunciation /pɹəˌnʌn.siˈeɪ.ʃən/, repetitive /ɹɪˈpɛtɪtɪv/, economist /iˈkɑ.nə.mɪst/
Les sons difficiles pour les francophones :
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: chime /tʃaɪm/, adjective /ˈæd͡ʒ.ɪk.tɪv/, lecture /ˈlɛk.t͡ʃə/
- /r/ anglais — langue recourbée, sans frotter la gorge: ripple /ˈɹɪp(ə)l/, frenzy /ˈfɹɛnzi/, rewrite /ɹiˈɹaɪt/, paragraph /ˈpæɹəɡɹæf/, vocabulary /vəˈkæb.jə.lə.ɹi/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Répétez phrase par phrase à vitesse normale, en reprenant chacune jusqu’à ce que votre rythme corresponde à celui du locuteur.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme tedious, ripple, chime.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.