NLP for the world's 7000+ languages (Practical AI #78)
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Show Notes
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, Bluesky, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
- The world’s languages
- Ethnologue
- TTS for Singlish
- SIL International
- Pachyderm
- Previous episode - Pachyderm’s Kubernetes-based infrastructure for AI
Something missing or broken? PRs welcome!