语言模型不仅支持使用经验理论，也能体现生成语法形式结构。

Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear

• 用语言模型验证生成语法的正式结构假设
• 证明神经语言模型可模拟生成主义理论
• 为使用派与生成派理论融合提供新路径

Futrell 和 Mahowald（2025）将神经语言模型的成功归因于支持渐进式、基于使用的语言理论。本文主张，语言模型同样可以实现基于形式结构的理论——即生成传统中的理论类型。这一观点拓展了语言模型可检验的理论范畴，可能促成使用派与生成派理论之间的调和。

原文摘要 · Abstract (English)

Futrell and Mahowald (2025) frame the success of neural language models (LMs) as supporting gradient, usage-based linguistic theories. I argue that LMs can also instantiate theories based on formal structures - the types of theories seen in the generative tradition. This argument expands the space of theories that can be tested with LMs, potentially enabling reconciliations between usage-based and generative accounts.

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