쉐도잉 연습: Việt Nam - U.S. advanced AI partnership | Vietnam Today - 영상으로 영어 말하기 배우기

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The Vietnam AI Innovation Challenge 2026 officially kicked off on Friday,
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bringing together policymakers, technology companies and AI innovators from Vietnam
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and the United States to develop the next generation of AI native applications.
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Beyond the competition,
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the event reflects a broader shift in bilateral cooperation as artificial intelligence becomes a strategic focus of the Vietnam-U.S comprehensive strategic partnership.
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The Vietnam AI Innovation Challenge 2026 attracted more than 2,500 participants in 300 teams,
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competing in a 48-hour hackathon to build AI-native solutions for real-world challenges.
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Backed by Meta and other strategic partners,
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the challenge gives winning teams the opportunity to continue their journey at the Vietnam AI Stars Global Finals in Silicon Valley,
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connecting Vietnamese innovators with the global AI ecosystem.
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The work, the collaboration that Meta is doing in Vietnam is being recognized and featured in the region.
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And for those leading team champions from this AI hackathon,
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they are having opportunities to continue their research in Sweden,
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in Singapore, and in the Silicon Valley.
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The United States is ready to work with any promising partner in the Indo-Pacific to strengthen and build partnerships in digital transformation.
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This presents a tremendous opportunity for Vietnam.
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Partnerships are also becoming more practical.
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One example is VGen, a joint initiative by Meta, the National Innovation Center, and AI for Vietnam.
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By developing open source datasets and evaluation benchmarks, the project aims to help AI systems better understand Vietnamese language,
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regional dialects, and cultural context.
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And building a competitive AI ecosystem takes more than technology and data.
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Vietnam, we have a really incredible technical depth builder.
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But for many, the missing part has been the Silicon Valley mindset.
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We want to bring Vietnamese AI talent to compete with the world's best.
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As Vietnam moves up the AI value chain, experts say success will depend on combining local talent with global partnerships turning innovation into products
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that are built in Vietnam and competitive worldwide.
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As Vietnam and the United States deepen their AI partnership,
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the focus is shifting from technology adoption to innovation co-creation.
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But what gives Vietnam that potential and what still needs to be done for the Vietnam-US AI partnership to deliver lasting impact?
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To explore these questions, our reporter Tết Lâm spoke with Ms. Thao Griffiths, Regional Public Policy Head at MEDA.
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Thao Griffiths for joining us on an interview with Vietnam Today.
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Thank you.
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It's a great honor to be interviewed by Vietnam Today.
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And for the first question, Meta and Vietnam has been working closely in terms of AI training programs and support for the innovation ecosystem.
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So from Meta's perspective, what makes Vietnam a promising market in AI development in the region?
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I would say immediately, first and foremost,
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is the young and abundant Vietnamese talents in technology and particularly in AI.
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In a recent survey, it shows that 93% of Vietnamese businesses are using AI for their businesses.
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And in also the latest survey by Deloitte, it shows that 86% of small,
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medium and micro Vietnamese companies are using AI tools for their personalized advertising campaign.
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In order to access better markets, engage more effectively with customers and users,
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that really goes to show how AI has been translated from potential,
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from promise into revenue for Vietnamese businesses.
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You can really see how these things will translate into viable solutions that can help to improve the public sector
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and also the business operations.
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So what still needs to be done to fully unlock the potential of AI collaboration between the US and Vietnam?
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I think from Meta, in our five years of working very closely with NIC,
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we managed to develop what we see as an ideal partnership.
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What we could do, should do, and must do in the coming years is how to really utilize that partnership
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so that everybody can play the role to help these Vietnamese talents
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can work hand-in-hand with Vietnamese businesses to come up with solutions for Vietnamese people.
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As AI expands rapidly, governance and trust are becoming just as important as innovation.
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So in the years ahead, what should Vietnam and the U.S do to ensure that AI remains responsible and inclusive?
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We are working very closely with the US government, obviously, and Vietnamese government, and with our partners to make sure
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that we not only provide AI tools that are easy to use,
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but also making sure that these tools protect the privacy of users and also they can use it responsibly.
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We developed all these protocols,
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we put together in the resource center and make it publicly available in all languages, including Vietnamese languages.
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Thank you so much for your insights and once again thank you for joining us on Vietnam Today.
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Thank you.

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추천 영상

이 레슨의 어휘와 말하기 포인트

이 B2 수준 말하기 레슨은 영상 “Việt Nam - U.S. advanced AI partnership”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: Vietnam, Vietnamese, partnership, innovation, Meta. 이 영상에는 섀도잉할 문장 60개와 단어 791개가 있습니다. 말하는 구간의 길이는 6:14입니다. 화자는 분당 약 127단어의 일정한 속도로 말해서 섀도잉하기에 편한 속도입니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 76%뿐이라 어휘가 어려운 편입니다.

이 영상의 핵심 어휘

영상에서 가장 어려운 단어 10개를 발음, 뜻과 함께 정리했습니다.

단어발음뜻
ecosystem 명사/ˈikoʊˌsɪstəm/생태계
translate 동사/tɹænzˈleɪt/번역하다
deepen 동사/ˈdiːpən/깊게 하다
participant 명사/pɑːɹˈtɪsəpənt/참가자
microwave 명사/ˈmaɪkɹoʊˌweɪv/마이크로파
builder 명사/ˈbɪl.dəɹ/건축업자, 건설자
combine 동사/kəmˈbaɪn/조합하다, 결합하다
protocol 명사/ˈpɹoʊtəˌkɑl/의정서
adoption 명사/əˈdɑp.ʃən/입양
depend 동사/dɪˈpɛnd/의존하다, ...에 달려 있다

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형영상 속 표현
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점being recognized · are built · be done
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때has been · has been translated

주의할 발음

  • “th” 소리: hackathon /ˈhæ.kə.θɑn/, strengthen /ˈstɹɛŋ(k)θən/
  • “sh”와 “zh” 소리: benchmark /ˈbɛn(t)ʃmɑːk/, adoption /əˈdɑp.ʃən/
  • 긴 단어 — 강세 위치에 주의: ecosystem /ˈikoʊˌsɪstəm/, innovator /ˈɪnəˌveɪtəɹ/, personalize /ˈpɜː.sə.nə.laɪz/, bilateral /baɪˈlætəɹəl/, participant /pɑːɹˈtɪsəpənt/

한국어 화자가 어려워하는 소리:

  • /v/ — ㅂ(/b/)과 구별하기: innovator /ˈɪnəˌveɪtəɹ/, microwave /ˈmaɪkɹoʊˌweɪv/, viable /ˈvaɪəbəl/, inclusive /ɪnˈkluːsɪv/, governance /ˈɡʌvəɹnəns/
  • /z/ — ㅈ이 아니라 성대를 울리는 /s/: translate /tɹænzˈleɪt/, personalize /ˈpɜː.sə.nə.laɪz/, utilize /ˈjuː.tɪ.laɪz/
  • /r/과 /l/ 구별하기: translate /tɹænzˈleɪt/, bilateral /baɪˈlætəɹəl/, builder /ˈbɪl.dəɹ/, protocol /ˈpɹoʊtəˌkɑl/

이 영상으로 연습하는 방법

  1. 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
  2. 보통 속도로 한 문장씩 섀도잉하고, 화자의 리듬과 맞을 때까지 반복합니다.
  3. 자신의 목소리를 녹음해 원본과 비교하고, ecosystem, translate, deepen 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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