13 citations · 35 across the 23 of their papers we have counts for
4 papers · 1 filter
Linguists should learn to love speech-based deep learning models
Marianne de Heer Kloots, Paul Boersma, Willem Zuidema
Futrell and Mahowald present a useful framework bridging technology-oriented deep learning systems and explanation-oriented linguistic theories. Unfortunately, the target article's…
Large language models are not about natural language
Johan J. Bolhuis, Andrea Moro, Stephen Crain +1
Large Language Models are useless for linguistics, as they are probabilistic models that require a vast amount of data to analyse externalized strings of words. In contrast, human…
Language models as tools for investigating the distinction between possible and impossible natural languages
Julie Kallini, Christopher Potts
We argue that language models (LMs) have strong potential as investigative tools for probing the distinction between possible and impossible natural languages and thus uncovering t…
How Linguistics Learned to Stop Worrying and Love the Language Models
Richard Futrell, Kyle Mahowald
Language models can produce fluent, grammatical text. Nonetheless, some maintain that language models don't really learn language and also that, even if they did, that would not be…