Studies with impossible languages falsify LMs as models of human language
Abstract
, both infants and language models (LMs) find attested languages easier to learn than "impossible languages" that have unnatural structures. We review the literature and show that LMs often learn attested and many impossible languages equally well. Difficult to learn impossible languages are simply more complex (or random). LMs are missing human inductive biases that support language acquisition.
Fields of Study & Subjects
Language Development and Disorders
Neurobiology of Language and Bilingualism
Language and cultural evolution
Publication details
- Journal / source
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Volume
- 49
- Pages
- e202–e202
- Publication date
- 1 January 2026
- Language
- EN