The article explores the implications of large language models (LLMs) on classic philosophical issues, particularly regarding nativism in language acquisition. It addresses two claims from generative linguistics about grammar learnability: the strong claim posits that exposure to linguistic data alone cannot lead to the acquisition of syntactic knowledge, while the weaker claim relies on the 'poverty of the stimulus' argument. This suggests that children must possess innate knowledge, such as Universal Grammar, to successfully navigate language learning. The ongoing debate highlights the intersection of artificial intelligence and linguistic theories.
The strong learnability claim suggests that exposure to linguistic data alone cannot lead to the mastery of syntactic knowledge necessary for language use.
Chomskyan linguists argue that children are born with an innate 'Universal Grammar' to address the challenges posed by the 'poverty of the stimulus' argument.
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