Generative linguistics contribution to artificial intelligence: Where this contribution lies?
This is an incremental review that synthesizes existing debates to highlight the role of linguistics in AI for researchers and scientists.
The article argues that Generative Linguistics, particularly the Chomsky School, has made a substantial contribution to artificial intelligence by providing scientific theorems and rationales in areas like syntax, semantics, and language acquisition, though it notes ongoing divergences such as the nature of language input.
This article aims to characterize Generative linguistics (GL) contribution to artificial intelligence (AI), alluding to the debate among linguists and AI scientists on whether linguistics belongs to humanities or science. In this article, I will try not to be biased as a linguist, studying the phenomenon from an independent scientific perspective. The article walks the researcher/reader through the scientific theorems and rationales involved in AI which belong from GL, specifically the Chomsky School. It, thus, provides good evidence from syntax, semantics, language faculty, Universal Grammar, computational system of human language, language acquisition, human brain, programming languages (e.g. Python), Large Language Models, and unbiased AI scientists that this contribution is huge, and that this contribution cannot be denied. It concludes that however the huge GL contribution to AI, there are still points of divergence including the nature and type of language input.