
Lingthusiasm - A podcast that's enthusiastic about linguistics
98: Helping computers decode sentences - Interview with Emily M. Bender
Nov 22, 2024
In this engaging conversation, Dr. Emily M. Bender, a Linguistics Professor at the University of Washington and co-host of Mystery AI Hype Theater 3000, explores how computers decode language. She reveals the difference between human and computer language learning, discussing the humorous failures that can arise. Emily emphasizes the significance of community over mere data, the ethical implications of AI training, and the creation of the Bender Rule, which promotes clarity in language use. Expect intriguing insights into the quirks of AI behavior and the future of linguistic technology!
56:10
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Quick takeaways
- Computers learn words by forming associations with previous words rather than grounding them in real-world concepts, leading to misunderstandings.
- Emily Bender emphasizes the significance of multiple linguistic frameworks for a deeper understanding of language structure and analysis.
Deep dives
Celebrating Linguistics and Community Engagement
The episode emphasizes the celebration of eight years of enthusiasm for linguistics, highlighting the importance of community engagement through a listener survey. This annual survey aims to better understand the audience, seek topic suggestions, and allow listeners to participate in linguistic experiments. It includes new questions each year, inviting previous participants to contribute again. The results from the survey will contribute to upcoming episodes, connecting listeners to the broader academic exploration of linguistics.
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