NLP for the world's 7000+ languages - Changelog Master Fe...

What this episode covers

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.Featuring:Dan Jeffries – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:The world’s languagesEthnologueTTS for SinglishSIL InternationalPachydermPrevious episode - Pachyderm’s Kubernetes-based infrastructure for AIUpcoming Events: Register for upcoming webinars here!

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This episode is 54 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on February 24, 2020.

What is this episode about?

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...

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