语言学如何学会不再担忧并爱上语言模型
How Linguistics Learned to Stop Worrying and Love the Language Models
AI总结：
针对语言模型是否真正学习语言及对语言学研究价值的争议，本文指出极端观点皆错，认为语言模型可助力语言学基础问题研究、推动思维革新，是梯度化基于使用方法的模型系统，二者关系应持乐观态度。
摘要：
语言模型（LMs）能够生成流畅、符合语法的文本。尽管如此，一些人认为语言模型并未真正学习语言，即便它们学到了，也无法为人类语言学习与处理的研究提供有效信息。另一方面，也有人声称语言模型的成功使得对语言理论和结构的研究变得不再必要。我们认为这两种极端观点都是错误的。语言模型能够为语言结构、语言处理和语言学习的基本问题提供帮助。它们迫使我们重新思考语言学中那些具有基础性的论证和思维方式。虽然语言模型无法取代语言结构和理论，但它们可作为梯度化、基于使用的语言研究方法的模型系统和概念验证实例。我们对语言模型与语言学之间的关系持乐观态度。
英文摘要：
Language models can produce fluent, grammatical text. Nonetheless, some maintain that language models don't really learn language and also that, even if they did, that would not be informative for the study of human learning and processing. On the other side, there have been claims that the success of LMs obviates the need for studying linguistic theory and structure. We argue that both extremes are wrong. LMs can contribute to fundamental questions about linguistic structure, language processing, and learning. They force us to rethink arguments and ways of thinking that have been foundational in linguistics. While they do not replace linguistic structure and theory, they serve as model systems and working proofs of concept for gradient, usage-based approaches to language. We offer an optimistic take on the relationship between language models and linguistics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
