Linguists should learn to love speech-based deep learning models
| Authors | |
|---|---|
| Publication date | 2026 |
| Journal | Behavioral and Brain Sciences |
| Article number | e206 |
| Volume | Issue number | 49 |
| Number of pages | 4 |
| Organisations |
|
| 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 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. |
| Document type | Comment/Letter to the editor |
| Note | Commentarey to: R. Futrell, K. Mahowald (2026) How linguistics learned to stop worrying and love the language models. Behavioral and Brain Sciences. 46:e200. |
| Language | English |
| Published at |
https://doi.org/10.1017/S0140525X26104713
(Final published version)
https://doi.org/10.48550/arXiv.2512.14506
(Other version)
|
| Downloads |
2512.14506v1
(Other version)
|
| Permalink to this page | |
