Practical AI

NLP for the world's 7000+ languages

Feb 24, 2020

Dan Jeffries, Chief Technical Evangelist at Pachyderm, discusses the challenges of expanding AI to over 7,000 languages, focusing on issues like scarce data and connectivity. He emphasizes the need for collaboration between tech and local language experts to push voice technology into emerging markets. Jeffries also highlights the critical role AI can play in preserving linguistic diversity and the significant impact of innovative, open-source approaches for underrepresented languages. This approach could empower communities and enhance communication on a global scale.

54:51

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Episode guests

Daniel Jeffries

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Episode notes

Intro

2min

Bridging Cultures: AI and Local Languages

15min

Bridging Communication Gaps with AI in Diverse Languages

5min

AI for Underrepresented Languages

18min

Harnessing Open Source for Language Technology Advancement

4min

Empowering Language with Collaborative AI

5min

Enhancing Language AI Through Collaboration and Resource Utilization

7min

Expanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages.

Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets.

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Featuring:

Dan Jeffries – LinkedIn, X
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

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