Linguists should learn to love speech-based deep learning models
By: Marianne de Heer Kloots, Paul Boersma, Willem Zuidema
Potential Business Impact:
Helps computers understand talking, not just writing.
Futrell and Mahowald present a useful framework bridging technology-oriented deep learning systems and explanation-oriented linguistic theories. Unfortunately, the target article's focus on generative text-based LLMs fundamentally limits fruitful interactions with linguistics, as many interesting questions on human language fall outside what is captured by written text. We argue that audio-based deep learning models can and should play a crucial role.
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