跟讀練習: 實戰練英文｜黃仁勳：你們要加油，不然我會拿走所有機會，然後我會變很有錢｜德國沒有下一個機會了｜投資德國高峰會｜長文、註解、大字版、中英對照 - 通過影片學習英語口語

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318 句
如果句子過短或過長，請點選 Edit 進行調整。
1
It is now my pleasure to introduce to you someone who you can already see,
現在我很榮幸向各位介紹這位大家已經可以看到的來賓。
2
someone very special, one of the most influential figures in tech.
3
He has co -founded NVIDIA in 1993, led it ever since, built it into the most valuable company in the world.
4
Last time I checked, right?
5
More than 5 trillion, not billion, trillion US dollars.
6
And along the way, he has earned a reputation as a kind of rock star of tech, not only because of his trademark leather jacket,
7
but because wherever he goes, crowds gather and are waiting for an autograph or a selfie.
8
We might just be so lucky tonight, Mr. Chancellor.
9
And I do hope you don't take this as a prompt.
10
Don't rush the stage.
11
But please give a very warm welcome to Jensen Huang.
但請大家以最熱烈的掌聲歡迎黃仁勳。
12
Welcome to Germany.
歡迎來到德國。
13
I can see you're already getting comfortable for our fireside chat.
我看得出你已經準備好放鬆心情，來參加我們這場爐邊閒聊了。
14
Also a bartender.
也是調酒師。
15
Well, Chancellor, if you could swap jobs with Jensen for just a day, what would you do first, you think?
那麼，校長，如果您能和詹森互換職務一天，您覺得您第一件事會做什麼？
16
Oh, that's a great idea to swap the jobs.
喔，交換工作這個點子真不錯。
17
Would you like to go there?
你想要去那裡嗎？
18
No. Well.
不是。嗯。
19
Thank you.
謝謝。
20
I give you my answer.
我給你我的答覆。
21
I rather would put my leather jacket on.
我寧可穿上我的皮外套。
22
I would take a flight to Berlin.
我會搭飛機去柏林。
23
I would like to see the German Chancellor.
我希望會見德國總理。
24
And I would tell him I'm ready to invest.
然後我會告訴他，我準備好要投資了。
25
Well, that's exactly what I'm doing.
嗯，我現在就是在做這件事啊。
26
I think we could arrange a meeting.
我認為我們可以安排一場會議。
27
No nobody has invested more in Germany.
沒有，沒有人在德國的投資比我們更多。
28
Thank you for that.
謝謝你提供這些。
29
We are really grateful.
我們真的非常感激。
30
Thank you for doing this.
謝謝你做這件事。
31
And this is a great signal for our country.
而且這對我們國家來說是個很好的訊號。
32
Thank you.
謝謝。
33
You know NVIDIA story and Germany story played a very large role.
你也知道，輝達（NVIDIA）的發展與德國市場的狀況，都扮演了非常關鍵的角色。
34
In fact in the year 2000 NVIDIA was a consumer oriented technology.
事實上，在2000年，NVIDIA是一家以消費性產品為導向的科技公司。
35
We were only building for PC gaming.
當時我們只針對PC遊戲進行開發。
36
And it was a company in Germany, Elsa, that partnership led us into workstations, which led us into all of the car companies.
當時是德國的一家公司 Elsa，那場合作帶領我們進入工作站領域，進而接觸到所有汽車廠商。
37
And today, we work with the car companies from styling, design, engineering, simulation, manufacturing, all the way out to the cars.
而今天，我們與汽車廠商的合作涵蓋造型、設計、工程、模擬、製造，一路延伸到整輛車的開發。
38
It was in 2005 that
那是在2005年的時候
39
Audi brought us into the car industry, inside the car.
Audi 帶領我們進入汽車產業，走進車內的世界。
40
And it was 2023.
而當時是2023年。
41
Was it 2023?
是2023年嗎？
42
2020?
2020年？
43
Yeah, 2020 that OLA and I established a partnership to build autonomous vehicles.
對啊，2020年我和OLA建立了合作關係，共同開發自動駕駛車輛。
44
And so Germany and NVIDIA has been very close for a long time.
因此，德國與NVIDIA長期以來一直維持非常緊密的關係。
45
I think I already heard that you wouldn't like to swap jobs.
我想我已經聽你說過你不想換工作了。
46
So I won't even get there asking you what you would do as a chancellor.
所以我根本不會問你身為總理會怎麼做。
47
We let you be you for now and I suspect you can already picture things that we might not even imagine yet.
我們現在就讓你做你自己，而且我懷疑你已經可以想像出一些我們甚至還沒想到的事情。
48
So take us into an engineering office or a factory of the future.
那麼，就帶我們走進未來的工程辦公室或工廠吧。
49
What do you see?
你看到了什麼？
50
What is this going to look like?
這看起來會是什麼樣子？
51
Oh, that's interesting.
喔，那還真有意思。
52
In fact, the factory, every single company in the future will have two factories.
事實上，未來每一家工廠、每一家公司都會擁有兩座工廠。
53
The factory that is real and the factory that is digital.
實體工廠與數位工廠。
54
And the factory that is digital will be so real, it might as be real.
而數位化的工廠將會真實到幾乎和實體工廠沒有區別。
55
If it manifests itself when you create the digital twin of your company, of your car company, that digital twin might as well be real.
如果在你為自己的車輛公司建立數位分身時，這個分身會展現出自身的特質，那麼這個數位分身其實就和真實的實體沒有差別。
56
And so in the future, I believe that most people here in Germany will mostly work inside a digital twin of their company.
因此，我相信未來德國這裡的多數人，大部分的工作都會在公司的數位分身環境中進行。
57
They will build digital cars.
他們將打造數位汽車。
58
Those cars will have digital brains.
那些車輛將配備數位大腦。
59
The manufacturing, the factories will have digital, of course, artificial intelligence robots,
製造業與工廠當然會配備數位化的人工智慧機器人。
60
building inside a robotic factory, building cars that will be robotic.
機器人工廠內的廠房，正在生產具備自動駕駛功能的車輛。
61
And everything will be completely software driven.
而且所有東西都將完全由軟體驅動。
62
Everything will be completely AI driven.
所有事物都將完全由AI驅動。
63
So every company will build two things.
所以每家公司都會建立兩個東西。
64
They will build brains and the brains that go into the products that they ship.
他們會開發核心技術，並將這些技術導入他們出貨的產品中。
65
Fascinating.
真有意思。
66
Yeah, it's going to be cool.
對啊，一定會超棒的。
67
Chancellor, of course the ambition is to bring AI into everyday use across German industry from large manufacturers,
校長，當然，我們的目標是將人工智慧導入德國產業的日常應用，從大型製造商開始，
68
Mittelstand to also smaller firms.
也適用於中小企業及更小型的公司。
69
Could you perhaps share a few concrete examples of how you
能否請您分享幾個具體的範例，說明您是如何
70
and the German government are ensuring that this widespread deployment is actually taking place?
而德國政府是否正確保這項大規模部署確實落實執行？
71
Sure.
好的。
72
First of all, I would like to say
首先，我想要說
73
that I'm really impressed what NVIDIA and German companies are already doing in this country.
我對NVIDIA和德國企業在這個國家已經展開的作為感到非常印象深刻。
74
Ola Kelenius just handed out a model from the new S -Class of Mercedes to me,
Ola Kelenius剛剛把賓士新S-Class的車型模型交給我。
75
promising that this car will be autonomous driving in Germany by the end of this year.
承諾這款車將於今年年底前在德國實現自動駕駛。
76
Safest and the most autonomous.
最安全且自動化程度最高。
77
So this is happening in Germany.
這件事發生在德國。
78
So we are in the government,
所以我們現在是在政府體制裡，
79
we are fully committed to be one of the most advanced places in the world, not just in the European Union,
我們全力致力成為全球最先進的地區之一，不只是在歐盟境內。
80
but in the world to work with AI, to integrate AI into our industry.
而是要在這個領域中與AI合作，將AI整合進我們的產業。
81
And one of the biggest, if not the biggest advantage we have in Germany is our so -called Mittelstand.
我們在德國擁有的最大優勢之一（就算不是最大的優勢），就是所謂的「Mittelstand」（德國中小企業體系）。
82
And I'm very happy to see that we are having here tonight many smaller and medium -sized companies from Germany.
而且我很高興看到今晚現場有許多來自德國的中小型企業。
83
Please open your doors for AI to make use of your data.
請開放您的資料存取權限給AI，讓它能運用您的數據。
84
This is so decisive for the German future this is a real secret
這對德國的未來至關重要，這是一個真正的秘密。
85
and a real advantage for Germany to use to make use of all the data which are already available in our companies.
對德國來說，善用境內企業已有的所有數據，是一項實質優勢。
86
And if we could combine this AI with companies like yours and our companies in Germany, the big ones, but also the so -called Mittelstand,
如果我們能將這套人工智慧技術與像貴公司這樣的企業，以及德國的企業——不論是大型企業，還是所謂的中小企業（Mittelstand）——結合起來，
87
I'm really optimistic that we will be one of the leading
我非常樂觀地認為，我們將會成為領先的……之一
88
if not the leading country in the world in terms of spread AI for all the companies of our manufacturers,
如果在將人工智慧普及應用於所有製造業廠商這方面，我國並非全球領先的國家，
89
machinery, automotive industry, supplies of automotive industry.
機械、汽車產業、汽車產業供應品。
90
I think this is a great opportunity and I'm decided to meet that.
我認為這是一個絕佳的機會，而且我已經決定要把握這個機會。
91
Yeah, you're absolutely right.
對啊，你完全正確。
92
So first of all, the data of Germany is part of your natural resources.
首先，德國的數據是你方自然資源的一部分。
93
It belongs to the nation.
它屬於國家。
94
The data of your digital experience, or otherwise known as data, The data of your country is your culture,
您的數位體驗數據，也就是一般所說的數據，而您國家的數據就是您的文化。
95
your values, your knowledge, your experience.
你的價值觀、你的知識、你的經歷。
96
It's your natural resource.
這是您的天然資源。
97
It belongs to the nation.
它屬於國家。
98
And you're absolutely right that you should import the technology to harvest that data and turn it into your national intelligence.
而且您完全正確的一點是，您應該引進相關技術來蒐集這些數據，並將其轉化為您的國家情報。
99
But you should not export your culture, export your values, export your knowledge,
但你不應該輸出你的文化、輸出你的價值觀、輸出你的知識，
100
export your history, and then import German intelligence back.
匯出您的紀錄，然後再匯入德文語言辨識資料。
101
Makes no sense.
這根本說不通。
102
So that's number one.
所以這是第一點。
103
And so you have every, you're going to, of course, use the best AI technology available in the world and AI services in the world.
所以你當然會使用全世界現有最先進的AI技術與AI服務。
104
But you have every capability to build your own AI.
但你完全有能力打造自己的AI。
105
So that's number one.
所以這是第一點。
106
The second is the next wave of AI is physical AI.
第二個趨勢是，下一階段的AI浪潮將會是實體AI。
107
This is where AI interacts with the physical world.
這就是AI與實體世界互動的領域。
108
Robotics, manufacturing, cars, heavy industry.
機器人、製造業、汽車、重工業。
109
That will never be replaced by digital technology.
那永遠不會被數位科技取代。
110
The work that you know belongs, that knowledge belongs to you.
你所熟知的工作內容、那些知識，都屬於你。
111
The expertise of your domain, that belongs to you.
您在自身領域的專業知識，是屬於您的資產。
112
Artificial general intelligence will never replace domain expertise.
通用人工智慧永遠不會取代領域專業知識。
113
You could be as smart of a general intelligence as you want.
你可以擁有你想要的任何等級的通用智慧。
114
You will never be as smart as somebody who is very,
你永遠不會比那些非常聰明的人還要聰明。
115
very specialized in a particular field of electromechanical technology.
在機電技術的特定領域具備高度專業。
116
It cannot be replaced.
它是無法被取代的。
117
And so AI can only augment your capability.
因此，AI 只能強化你的能力。
118
It will not replace your capability.
它不會取代你的能力。
119
So take advantage of the technology.
所以請善用這項科技。
120
It's a new instrument.
這是一項新的儀器。
121
As for some of these advantages, Jensen, we have on the one hand decades of industrial data.
至於這些優勢的其中幾點，Jensen，我們一方面擁有數十年的產業數據。
122
We have very skilled labor, if you like.
我們有技術非常純熟的勞工，您如果有需要的話。
123
We have the engineering expertise.
我們具備工程專業技術。
124
So this certainly, as you seem to point out, speaks for a lot of advantages for Germany.
所以這無疑就像你指出的，顯示德國具備許多優勢。
125
You have a global perspective, however.
不過，您具備全球視野。
126
There are other countries that also have strengths, that also like to take advantage of their strengths.
其他國家也具備各自的優勢，也樂於善用自身的強項。
127
You talk to so many governments across the globe, to so many companies across the world.
你和全球這麼多政府、世界各地這麼多企業都有往來對話。
128
If you take this global perspective,
如果從這個全球視角來看
129
how is Germany braced for this sort of next race in AI?
德國對於下一階段的這場人工智慧競賽，做了哪些準備？
130
As you know, the last major industrial revolution was electrification.
如您所知，上一次重大的工業革命是電氣化。
131
before the one I'll describe.
在我接下來要描述的那個之前。
132
Electrification resulted in really three geographical leaders.
電氣化的發展其實造就了三個地理區域的領導者。
133
Germany, United States, Japan.
德國、美國、日本。
134
For the last 50 years, because of the current industrial revolution, which is computing and digital technology,
過去50年來，由於當前這波以運算與數位科技為核心的工業革命，
135
The United States has largely exported its heavy manufacturing,
美國已大致將重工業外移。
136
its building, its craft, really to China.
其建築、其工藝，確實都帶有中國風格。
137
So now the world has three again.
所以現在世界又回到三個了。
138
But it's Germany, Japan, and China.
但這涉及德國、日本與中國。
139
The advantage that
其優勢在於
140
China has is that they came into their industrial revolution,
中國的狀況是，他們進入了工業革命時期。
141
if you will, their economic transformation happened during precisely the time of the computer industry.
如果這麼說的話，他們的經濟轉型正好發生在電腦產業興起的時期。
142
They are quite computerized.
他們的電腦化程度相當高。
143
China is probably the only nation today that is deep in manufacturing and deep in computer science and very comfortable in both.
中國很可能是當今唯一同時深耕製造業與電腦科學領域，並且在這兩個領域都遊刃有餘的國家。
144
Well, the good news is there's a complete reset.
好消息是現在可以完全重新開始了。
145
The last 50 years was about software programming.
過去50年的核心是軟體程式開發。
146
United States is obviously world -class.
美國顯然是世界級的。
147
But there's a new era now.
但現在已經進入新的時代了。
148
The computer programs itself.
這台電腦會自動程式化。
149
You just have to show the computer what you want.
你只要告訴電腦你想要什麼就好。
150
Computer programming, all of the advantages of the last generation, has now been accrued into artificial intelligence
電腦程式設計匯集了上一代的所有優勢，如今已整合至人工智慧之中。
151
there's a complete reset all the digital technology in the world
152
will not replace electro mechanical physical technology electrons will never replace atoms
153
and that's an advantage
154
that you have the work you know the domain expertise you have the craft
155
that is here it will remain here but you have to take advantage of this new technology.
156
This industrial revolution is so mighty, is so powerful, you don't have another chance.
157
Because you always, yeah.
158
Whether we have another chance or not, we should always assume we don't this transition is
159
so important you should combine your deep skills your deep expertise in the physical products in the electromechanical products
160
and combine it with artificial intelligence I would not be surprised
161
if currently most of the middle sides their challenges are reduction in labor
162
because people are getting old the craft of
163
that is captured in the knowledge the skills of the people are still are starting to get older
164
and older every generation take advantage of artificial intelligence let them codify let them program let them teach
165
this artificial intelligence and keep it here in germany right and let it re -engineer the chancellor's words
166
Chancellor's words re -engineer Germany.
167
This is your chance to do it.
168
Well.
169
I think it's become obvious prerequisites to scale industrial AI in Germany are here
170
and they are very promising and the opportunities related to it are impressive.
171
It will be key, of course, Chancellor, to bridge the gap between innovation and implementation in factories and in value chains.
172
Is a cooperation with NVIDIA a part of the plan to do so?
173
Yeah, sure.
174
And this is already happening.
175
And I would like to say
176
that I'm extremely grateful about what we have just heard from this business leader of the world in terms of AI.
177
So you are giving me and hopefully us a great optimism about our business model in Germany.
178
And you might know that I'm always insisting that we have to remain a country with manufacturing.
179
And we should never give up that.
180
And now we are seeing a great opportunity in combining our experiences with manufacturing and AI.
181
So if we are successful in bringing these two
182
I'm really very optimistic that Germany can be one of the most successful economies in the world.
183
Because we are already, we are still the third biggest economy in the world.
184
So thank you for telling us what the opportunity is and comparing us with others.
185
And I believe and I share your view
186
that the Americans made a big mistake in the world mistake to export their manufacturing.
187
And now they are faced with a very small successful but very small base industry.
188
And this is our advantage to have this broader access and broader approach to the future of our industry.
189
And look I'm a large American company and and we have incredible partnerships here in Germany for good reason.
190
It's good for us.
191
It's good for us.
192
Our partnership with Audi led to our partnership with Mercedes.
193
Our partnership with Mercedes led to our investment in robotics which led to our partnership with agile robots.
194
We just made an investment in them.
195
We made an investment.
196
Avelio's made an investment in Murilla made an investment in in reflex aerospace.
197
Last year we made investment in black forest labs.
198
Here in Germany you have deep science and technology and deep science
199
and math which are the fundamentals for manufacturing for the deep sciences for artificial intelligence.
200
And so there's so much there's so much technical expertise and there's so much deep science and deep math.
201
The one thing that you said also is
202
that you believed in a policy of advancing and encouraging AI startups or startups in general.
203
I think that's fantastic.
204
One of the things that I really love about the United States, of course, is that we constantly reinvigorate,
205
we constantly reinvent ourselves, and the way we do that is through all the entrepreneurs.
206
And so one of the things that I really love to see, we've invested tremendously in Germany.
207
In the last year, we've invested almost a billion dollars.
208
This week, we're investing in four new companies.
209
And so in a lot of ways, we are one of the largest VCs in Germany, because I believe in Germany.
210
And so for all of the other venture capitalists,
211
you better hurry, because otherwise I'm going to take all the good deals and I'm going to be rich.
212
And so the The important thing is
213
that the thing I want to recognize is that the science and technology capability of Germany is just second to none.
214
We have a thousand employees here.
215
We have a fantastic office here in Berlin.
216
Some of the fundamental inventions of our companies came from our office here in Berlin in Germany.
217
And so this is you want to invest here.
218
Incredible people.
219
May I ask a question?
220
Could you give us an advice on regulation?
221
We are having a very strong debate in Brussels on the European level compared to the US.
222
What is the best way to regulate this industry or this new technology?
223
I think we agree on no regulation is not the right answer.
224
Too tight regulation is not the right answer either.
225
But what is from your view the right answer in terms of keeping the potential damage in mind
226
that this could happen and already happened.
227
So what is your advice on regulation?
228
What can we do better than others?
229
Safety is paramount.
230
There is no future for this industry without safe products.
231
Just as there is no future in autonomous vehicles if the vehicles are not safe.
232
And so it is not a choice.
233
You don't choose between safety and capability.
234
They are one.
235
They have to go together.
236
And so three pillars.
237
The first is you can't regulate if there's no technology.
238
So the technology industry must invent the technology for safety.
239
Just as Ola and I had to invent the technology and we have the safest autonomous vehicle in the car, in the world.
240
We had to invent the technology that allows you to achieve.
241
The functionality you want to see but also the guarantee of functional safety and active safety we want to deliver.
242
And so that requires invention of technology.
243
That's the first pillar.
244
But that's something that Germany is incredibly good at.
245
Your science, your math, your technology is incredibly good.
246
You have to invent the technology of safety.
247
Safety is not hopes and dreams.
248
Safety is technology and engineering.
249
Second, the companies need to have best practices.
250
Sometimes the young companies, they're still trying to grow up and they make maybe more mistakes than they should.
251
We need to make sure that companies make, deliver on the best practices, best methods, and even in safety,
252
as many of the people in the audience, there are probably many in the automotive industry, you know that safety is deep methodology,
253
deep best practices, deep engineering.
254
And that methodology has to be adhered to.
255
And then lastly, there's industrial and government regulations.
256
If it turns out that, and remember AI is two things.
257
Just as the internet, regulating the internet is hard, but regulating internet applications is not so hard.
258
We should be regulating the applications right away.
259
And so if there are AI technologies
260
that you see that's being applied to a new type of product that is not covered by the existing regulatory bodies,
261
they have to evaluate as soon as possible and make sure that their regulation includes AI.
262
And so I would and I think I've also heard you say
263
that you want to find that balance between innovation and regulation.
264
There's nothing to regulate if the industry doesn't thrive.
265
You want the German AI industry to thrive as well as do it safely responsibly.
266
So I think I think the balance is really important to do.
267
And so I think that the answer is we know there's technology we can invent
268
and deploy in order to have AI safety.
269
We know that there are best practices that we can adhere to as companies and industries.
270
And then in addition to that, if necessary, we'll make sure we regulate.
271
Just briefly, Chancellor, what would be your answer to the same question?
272
Maybe very briefly.
273
No, thank you.
274
This was extremely helpful because we are talking about that on the European level.
275
We are talking that on the national level and my approach is
276
that we at least need the European level
277
and better we have a global level of regulation and of safety for this fantastic new technology.
278
So this is my personal view, but we are still far from that because we are having a different approach between the Americans and the Europeans.
279
But we are working on that and most in this room know
280
that I was successful to get the AI regulation out of the normal regulation of AI in the European Union
281
and to have a special regulation for the machinery industry in Germany
282
and not being part of the general AI limitation and regulation.
283
So this was a quick achievement which we had.
284
Give Germany a chance.
285
Yeah.
286
Give this industry a chance to.
287
Yeah.
288
And just finally, very, very briefly, Chancellor, if Jensen came back in a year's time, which we very much hope,
289
what would you hope for him to see?
290
I would like to see him regularly.
291
Let's say at least once a year and discussing progresses we made
292
and seeing a guy sitting in my office and being extremely happy about the German investment place.
293
nothing would give me more joy than to see all of my investments in Germany turn into gold.
294
Okay, so I have every belief and I'm very,
295
very happy to hear your personal support of the startup ecosystem.
296
I'm very happy to hear
297
that there are regulations involved to make it possible for the pension funds
298
and the and the risk capital the risk capital to come into Germany
299
and then and then I'm also I'm also super excited to hear about all of the AI startups
300
and the startups
301
that have happened in the last couple of years half of
302
the startups in Germany being founded in the last two years is AI yeah
303
that's terrific that's oriented yeah that's who knows maybe you are gonna ask them for some autographs next year.
304
You might want to bring a pen when you come.
305
Once they have their breakthroughs, some of them, I understand, were your interns in the past, and now they run their own companies.
306
It's been a pleasure to have you here.
307
Thank you to both of you, ladies and gentlemen.
308
Please give an applause to Chancellor Merz and Jensen Hwang.
309
Thank you so much.
310
It was great to have you.
311
Thank you.
312
Thank you for having me.
313
What an upbeat, promising start.
314
Thank you very much.
315
Thank you.
316
Well, ladies and gentlemen, you may now notice a little movement, but this evening is of course far from over.
317
Members of the press are about to leave us now.
318
This may take a couple of minutes.

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本課的詞彙與口語要點

這節口語課以影片“實戰練英文｜黃仁勳：你們要加油，不然我會拿走所有機會，然後我會變很有錢｜德國沒有下一個機會了｜投資德國高峰會｜長文、註解、大字版、中英對照”為素材。 影片中反覆出現的詞有：germany, technology, industry, companies。 這段影片共有 317 個句子、3380 個單詞可供跟讀。 講話部分時長為 25:38。 說話人語速平穩，每分鐘約 132 個詞，很適合跟讀。 86% 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
regulation 名詞/ˌɹɛɡjʊˈleɪʃən/規則 /規則, 規例 /規例
chancellor 名詞/ˈt͡ʃænsələ/總理 /總理, 大臣
partnership 名詞/ˈpɑɹtnɚʃɪp/合夥關係 /合夥關係, 合作關係 /合作關係
artificial 形容詞/ˌɑː.tɪˈfɪʃ.əl/人造的
regulate 動詞/ˈɹɛɡ.jə.leɪt/調節 /調節
invest 動詞/ɪnˈvɛst/耗費 /耗費, 投資 /投資
export 名詞/ˈɛks.pɔɹt/出口, 輸出 /輸出
expertise 名詞/ˌɛkspɜːˈtiːz/專門知識 /專門知識
startup 名詞/ˈstɑɹtˌʌp/初創公司 /初創公司, 新創企業 /新創企業
belong 動詞/bɪˈlɒŋ/屬於 /屬於
autonomous 形容詞/ɔˈtɑnəməs/自治
invent 動詞/ɪnˈvɛnt/發明 /發明
combine 動詞/kəmˈbaɪn/結合 /結合, 組合 /組合
twin 名詞/twɪn/雙胞胎 /雙胞胎, 雙生子 /雙生子
domain 名詞/ˌdəʊˈmeɪ̯n/領域 /領域

影片中出現的短語動詞

單詞釋義
give up 動詞投案, 自首
grow up 動詞長大 /長大
hand out 動詞分配
point out 動詞指, 指出
turn out 動詞原來 /原來

值得反覆跟讀的句子

影片中簡短而完整的句子，可以直接用在日常對話裡：

  • Would you like to go there?
  • What do you see?
  • May I ask a question?
  • Could you give us an advice on regulation?
  • What can we do better than others?

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事has earned · has invested · has been
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的be replaced · cannot be replaced · been accrued
定語從句 who / which + 從句 — 補充說明人或事物someone who you · data which are · somebody who is

需要注意的發音

說話人用了 37 次縮略和弱讀形式，例如 I'm, don't, you're。請按聽到的簡短形式來說。

  • “th” 音: mathematics /mæθ(.ə)ˈmæt.ɪks/, leather /ˈlɛðɚ/, methodology /ˌmɛθ.əˈdɑ.lə.d͡ʒi/, thrive /θɹajv/, gather /ˈɡæðɚ/
  • “sh” 和 “zh” 音: regulation /ˌɹɛɡjʊˈleɪʃən/, partnership /ˈpɑɹtnɚʃɪp/, artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, invention /ɪnˈvɛnʃən/
  • 長單詞——注意重音位置: regulation /ˌɹɛɡjʊˈleɪʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, autonomous /ɔˈtɑnəməs/, mathematics /mæθ(.ə)ˈmæt.ɪks/

中文母語者容易讀錯的音：

  • /v/ — 不要讀成 /w/，上齒輕觸下唇: invest /ɪnˈvɛst/, invent /ɪnˈvɛnt/, automotive /ˌɔtəˈmoʊtɪv/, innovation /ˌɪn.əˈveɪ.ʃən/, invention /ɪnˈvɛnʃən/
  • 詞尾子音 — 要讀清楚，後面不要加母音: partnership /ˈpɑɹtnɚʃɪp/, regulate /ˈɹɛɡ.jə.leɪt/, invest /ɪnˈvɛst/, export /ˈɛks.pɔɹt/, expertise /ˌɛkspɜːˈtiːz/
  • /r/ 和 /l/ 的區別: regulation /ˌɹɛɡjʊˈleɪʃən/, regulate /ˈɹɛɡ.jə.leɪt/, briefly /ˈbɹiːfli/, incredibly /ɪŋˈkɹɛdɪbli/, grateful /ˈɡɹeɪtf(ə)l/

如何用這段影片練習

  1. 先完整聽一遍影片，不要開口，記下不認識的單詞。
  2. 用正常速度逐句跟讀，每句重複到你的節奏與說話人一致為止。
  3. 錄下自己的聲音並與原聲對比，特別注意 regulation, chancellor, partnership 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。

影子跟讀法: 閱讀完整分步指南 →