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!
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ADVICE

Work With Communities First

  • Engage with communities first and ask what computational tools they want before building systems for their languages.
  • Train local community members as computational linguists rather than extracting their data without consent.
INSIGHT

Name The Language You Study

  • English is often treated as the default, so papers omit naming languages and generalize results wrongly.
  • Bender instituted the 'Bender Rule': always state the language you're working on to avoid this bias.
ADVICE

Bring Linguistics Into NLP Design

  • Learn core linguistic structure to avoid treating language as mere word strings when building NLP systems.
  • Use linguistic concepts to improve how systems model morphology, syntax, semantics, and variation.
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