CLMar 25, 2025

Generative Linguistics, Large Language Models, and the Social Nature of Scientific Success

arXiv:2503.20088v1
Originality Synthesis-oriented
AI Analysis

This addresses a philosophical and social challenge for generative linguists, offering a non-incremental perspective on scientific success.

The paper argues that the perceived crisis in generative linguistics is not due to a lack of rigor but stems from limited social ambitions, suggesting that generativists must expand their social influence to thrive alongside large language models.

Chesi's (forthcoming) target paper depicts a generative linguistics in crisis, foreboded by Piantadosi's (2023) declaration that "modern language models refute Chomsky's approach to language." In order to survive, Chesi warns, generativists must hold themselves to higher standards of formal and empirical rigor. This response argues that the crisis described by Chesi and Piantadosi actually has little to do with rigor, but is rather a reflection of generativists' limited social ambitions. Chesi ties the fate of generative linguistics to its intellectual merits, but the current success of language model research is social in nature as much as it is intellectual. In order to thrive, then, generativists must do more than heed Chesi's call for rigor; they must also expand their ambitions by giving outsiders a stake in their future success.

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