シャドーイング練習: Việt Nam - U.S. advanced AI partnership | Vietnam Today - 動画で英語スピーキングを学ぶ
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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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このレッスンの語彙とスピーキングのポイント
このB2レベルのスピーキングレッスンは、動画「Việt Nam - U.S. advanced AI partnership」を教材にしています。 繰り返し出てくる語は次のとおりです：Vietnam, Vietnamese, partnership, innovation, Meta。 この動画には、シャドーイング用の文が60文、単語が791語あります。 音声の長さは6:14です。 話す速さは1分あたり約127語で安定しており、シャドーイングしやすいペースです。 英語の頻出3,000語に含まれる単語は76%だけなので、語彙は難しめです。
この動画の重要語彙
動画の中で特に難しい単語15語を、発音と意味つきで紹介します。
| 単語 | 発音 | 意味 |
|---|---|---|
| ecosystem 名詞 | /ˈikoʊˌsɪstəm/ | 生態系 |
| translate 動詞 | /tɹænzˈleɪt/ | 訳す, 翻訳する |
| deepen 動詞 | /ˈdiːpən/ | 深める |
| benchmark 名詞 | /ˈbɛn(t)ʃmɑːk/ | 水準点 |
| bilateral 形容詞 | /baɪˈlætəɹəl/ | 双方 |
| abundant 形容詞 | /əˈbʌn.dənt/ | 豊か, 量の多い |
| participant 名詞 | /pɑːɹˈtɪsəpənt/ | 参加者, 関与者 |
| microwave 名詞 | /ˈmaɪkɹoʊˌweɪv/ | マイクロ波, マイクロウェーブ |
| builder 名詞 | /ˈbɪl.dəɹ/ | 建設者 |
| mindset 名詞 | /ˈmaɪn(d)ˌsɛt/ | 考え方, 心理 |
| unlock 動詞 | /ʌnˈlɑk/ | 開ける, 解錠する |
| viable 形容詞 | /ˈvaɪəbəl/ | 生きられる, 生き残れる |
| strengthen 動詞 | /ˈstɹɛŋ(k)θən/ | 強くする, 強める |
| tremendous 形容詞 | /tɹɪˈmɛndəs/ | 莫大 |
| combine 動詞 | /kəmˈbaɪn/ | 合わせる, 結び付ける |
この動画の文法
話し手がよく使っている文型を、動画の実際の表現とともに紹介します。
| 文型 | 動画での表現 |
|---|---|
| 受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる | being recognized · are built · be done |
| 現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している | has been · has been translated |
注意したい発音
- 「th」の音: hackathon /ˈhæ.kə.θɑn/, strengthen /ˈstɹɛŋ(k)θən/
- 「sh」と「zh」の音: benchmark /ˈbɛn(t)ʃmɑːk/, adoption /əˈdɑp.ʃən/
- 長い単語（アクセントの位置に注意）: ecosystem /ˈikoʊˌsɪstəm/, innovator /ˈɪnəˌveɪtəɹ/, personalize /ˈpɜː.sə.nə.laɪz/, bilateral /baɪˈlætəɹəl/, participant /pɑːɹˈtɪsəpənt/
日本語話者が苦手な音：
- /r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: translate /tɹænzˈleɪt/, bilateral /baɪˈlætəɹəl/, builder /ˈbɪl.dəɹ/, protocol /ˈpɹoʊtəˌkɑl/
- /v/ — /b/ にならないように、上の歯を下唇に当てる: innovator /ˈɪnəˌveɪtəɹ/, microwave /ˈmaɪkɹoʊˌweɪv/, viable /ˈvaɪəbəl/, inclusive /ɪnˈkluːsɪv/, governance /ˈɡʌvəɹnəns/
- 子音の連続 — 間に母音を入れない: translate /tɹænzˈleɪt/, benchmark /ˈbɛn(t)ʃmɑːk/, abundant /əˈbʌn.dənt/, participant /pɑːɹˈtɪsəpənt/, foremost /ˈfɔː.məʊst/
この動画での練習方法
- まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
- 通常の速度で一文ずつシャドーイングし、話し手のリズムに合うまで繰り返します。
- 自分の声を録音して元の音声と比べます。ecosystem, translate, deepenなどの単語に特に注意しましょう。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。