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.

Leave us a comment

Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Featuring:

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

Show Notes:

Something missing or broken? PRs welcome!

NLP for the world's 7000+ languages 54:50 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

NLP for the world's 7000+ languages