Shadowing Practice: Việt Nam - U.S. advanced AI partnership | Vietnam Today - Learn English Speaking with Video
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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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Woordenschat en spreektips bij deze les
Deze spreekles op niveau B2 is gebaseerd op de video “Việt Nam - U.S. advanced AI partnership”. Deze woorden komen het vaakst terug: Vietnam, Vietnamese, partnership, innovation, Meta. Deze video bevat 60 zinnen en 791 woorden om na te spreken. Het gesproken deel duurt 6:14. De spreker praat in een gelijkmatig tempo van ongeveer 127 woorden per minuut, prettig om te shadowen. Slechts 76% van de woorden hoort bij de 3.000 meest gebruikte Engelse woorden, dus de woordenschat is pittig.
Belangrijke woorden in deze video
De 15 moeilijkste woorden uit de video, met uitspraak en betekenis:
| Woord | Uitspraak | Betekenis |
|---|---|---|
| ecosystem zelfstandig naamwoord | /ˈikoʊˌsɪstəm/ | ecosysteem |
| hackathon zelfstandig naamwoord | /ˈhæ.kə.θɑn/ | hackathon |
| innovator zelfstandig naamwoord | /ˈɪnəˌveɪtəɹ/ | vernieuwer, innovator |
| translate werkwoord | /tɹænzˈleɪt/ | vertalen, overzetten |
| deepen werkwoord | /ˈdiːpən/ | verdiepen |
| policymaker zelfstandig naamwoord | beleidsmaker | |
| benchmark zelfstandig naamwoord | /ˈbɛn(t)ʃmɑːk/ | ijkpunt, maatstaf |
| bilateral bijvoeglijk naamwoord | /baɪˈlætəɹəl/ | tweezijdig |
| abundant bijvoeglijk naamwoord | /əˈbʌn.dənt/ | overvloedig, rijkelijk voorhanden |
| participant zelfstandig naamwoord | /pɑːɹˈtɪsəpənt/ | deelnemer, participant |
| microwave zelfstandig naamwoord | /ˈmaɪkɹoʊˌweɪv/ | microgolf |
| builder zelfstandig naamwoord | /ˈbɪl.dəɹ/ | bouwer, bouwster |
| mindset zelfstandig naamwoord | /ˈmaɪn(d)ˌsɛt/ | mentaliteit, ingelsteldheid |
| unlock werkwoord | /ʌnˈlɑk/ | openen, ontgrendelen |
| viable bijvoeglijk naamwoord | /ˈvaɪəbəl/ | levensvatbaar |
Phrasal verbs die je zult horen
| Woord | Betekenis |
|---|---|
| come up with werkwoord | bedenken, verzinnen |
Grammatica in deze video
De structuren die de spreker het meest gebruikt, met de exacte woorden uit de video:
| Structuur | In de video |
|---|---|
| Lijdende vorm be + voltooid deelwoord — het gaat om wat er gebeurt, niet om wie het doet | being recognized · are built · be done |
| Present perfect have/has + voltooid deelwoord — iets uit het verleden dat nu nog telt | has been · has been translated |
Uitspraak om op te letten
- De “th”-klanken: hackathon /ˈhæ.kə.θɑn/, strengthen /ˈstɹɛŋ(k)θən/
- De klanken “sh” en “zh”: benchmark /ˈbɛn(t)ʃmɑːk/, adoption /əˈdɑp.ʃən/
- Lange woorden — let op de klemtoon: ecosystem /ˈikoʊˌsɪstəm/, innovator /ˈɪnəˌveɪtəɹ/, personalize /ˈpɜː.sə.nə.laɪz/, bilateral /baɪˈlætəɹəl/, participant /pɑːɹˈtɪsəpənt/
Klanken die Nederlandstaligen lastig vinden:
- Stemhebbende eindmedeklinker — /b/, /d/, /g/, /z/, /v/ niet verscherpen: personalize /ˈpɜː.sə.nə.laɪz/, utilize /ˈjuː.tɪ.laɪz/, microwave /ˈmaɪkɹoʊˌweɪv/, inclusive /ɪnˈkluːsɪv/, depend /dɪˈpɛnd/
- /æ/ — opener dan de Nederlandse “e”: hackathon /ˈhæ.kə.θɑn/, translate /tɹænzˈleɪt/, bilateral /baɪˈlætəɹəl/
Zo oefen je met deze video
- Luister de hele video één keer zonder te spreken en noteer de woorden die je niet kent.
- Spreek zin voor zin na op normale snelheid en herhaal elke zin tot je ritme gelijk is aan dat van de spreker.
- Neem jezelf op en vergelijk met het origineel; let daarbij op woorden als ecosystem, hackathon, innovator.
Wat is de Shadowing-techniek?
Shadowing is een wetenschappelijk onderbouwde taalleermethode die oorspronkelijk is ontwikkeld voor professionele tolkentraining en gepopulariseerd door polyglot Dr. Alexander Arguelles. De methode is eenvoudig maar krachtig: je luistert naar native Engelse audio en herhaalt het onmiddellijk hardop — als een schaduw die de spreker volgt met slechts 1–2 seconden vertraging. In tegenstelling tot passief luisteren of grammaticadrills, dwingt shadowing je hersenen en mondspieren om echte spraakpatronen tegelijkertijd te verwerken en te reproduceren. Onderzoek toont aan dat het de uitspraaknauwkeurigheid, intonatie, ritme, verbonden spraak, luisterbegrip en spreekvaardigheid aanzienlijk verbetert — waardoor het een van de meest effectieve methoden is voor IELTS Speaking-voorbereiding en echte Engelse communicatie.