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Linguists should learn to love speech-based deep learning models
Marianne de Heer Kloots1, Paul Boersma2, Willem Zuidema1
1Institute for Logic, Language and Computation (ILLC), University of Amsterdam, Amsterdam, Netherlands m.l.s.deheerkloots@uva.nl.
None:
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 Large Language Models (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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