Active learning & endangered languages
· 49 min · Episode 178
Episode Active learning & endangered languages
Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings.
Featuring:
• Sarah Moeller – Website, GitHub, LinkedIn • Chris Benson – Website, GitHub, LinkedIn, X • Daniel Whitenack – Website, GitHub, X
Show Notes:
• Sarah’s academic website • An article about Sarah’s journey into this work
Upcoming Events:
• Register for upcoming webinars here!
Links in the notes 12
- https://sarahrmoeller.github.io/
- https://github.com/sarahrmoeller
- https://www.linkedin.com/in/sarahrmoeller
- https://chrisbenson.com
- https://github.com/chrisbenson
- https://www.linkedin.com/in/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://www.colorado.edu/linguistics/why-computational-linguistics
- https://practicalai.fm/webinars
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