{"ID":2828569,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.14506","arxiv_id":"2512.14506","title":"Linguists should learn to love speech-based deep learning models","abstract":"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.","short_abstract":"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 lan...","url_abs":"https://arxiv.org/abs/2512.14506","url_pdf":"https://arxiv.org/pdf/2512.14506v1","authors":"[\"Marianne de Heer Kloots\",\"Paul Boersma\",\"Willem Zuidema\"]","published":"2025-12-16T15:42:22Z","proceeding":"cs.CL","tasks":"[\"cs.CL\",\"cs.SD\",\"eess.AS\",\"q-bio.NC\"]","methods":"[\"Large Language Model\"]","has_code":false}