Machine Learning Street Talk (MLST) cover image

"AI should NOT be regulated at all!" - Prof. Pedro Domingos

Machine Learning Street Talk (MLST)

CHAPTER

Chomsky vs. Computational Linguistics

This chapter critiques Noam Chomsky's theories on language acquisition, particularly the poverty of the stimulus argument, and contrasts them with modern machine learning approaches, including large language models. The discussion highlights the effectiveness of context-free grammars and how data-driven methods outperform traditional linguistic frameworks. It also explores the broader implications of computational advancements in understanding both language and the complexities of the universe.

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