语言学家如何学会停止担心并爱上语言模型
Richard Futrell1, Kyle Mahowald2
1University of California Irvine, USA; rfutrell@uci.edu.
The Behavioral and brain sciences
|July 24, 2025
概括
语言模型 (LMs) 为语言结构和人类语言处理提供了宝贵的见解. 它们作为理解渐变,基于使用的语言学习的关键模型系统.
科学领域:
- 计算语言学 计算语言学
- 认知科学 认知科学
- 人工智能的人工智能
背景情况:
- 当前的辩论质疑语言模型 (LMs) 是否真正学习语言,还是提供对人类语言过程的洞察.
- 有些人认为LM否定了语言理论的需要,而另一些人则怀疑它们与人类语言学习的相关性.
研究的目的:
- 评估LMS对语言学基本问题的贡献,包括结构,处理和学习.
- 挑战极端的观点,对能力和影响的LM在语言研究.
- 将LMs定位为探索渐变,基于使用的语言方法的有价值工具.
主要方法:
- 与语言理论相关的LM能力的概念分析.
- 与已建立的语言框架对LM表现的比较检查.
- 作为模型系统和概念证明的LM的论证.
主要成果:
- 语言学习可以对理解语言结构和人类语言处理做出重大贡献.
- 语言学习的成功需要重新评估语言学的基本概念.
- 语言模型为渐变,基于使用的语言模型提供经验支持.
结论:
- 关于LM和语言学的辩论中的两个极端都是有缺陷的.
- 语言模型并不取代语言理论,而是通过作为可测试模型来增强它.
- 对LM和语言学之间的协同作用的乐观观点是有必要的.
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