Linguists should learn to love speech-based deep learning models
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 98 of its 356 references that are in the map. First posted on arXiv 16 Dec 2025.
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References · 98
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