语言结构来自于顺序信息处理上的瓶
Richard Futrell1, Michael Hahn2
1University of California, Irvine, Irvine, CA, USA. rfutrell@uci.edu.
Nature human behaviour
|November 25, 2025
概括
人类语言表现出系统的结构,如单词和短语,它们以复杂的代码出现. 将预测信息最小化,即复杂性的度量,揭示了这些自然语言特征是如何发展的.
科学领域:
- 计算语言学 计算语言学
- 信息理论 信息理论
- 认知科学 认知科学
背景情况:
- 人类语言具有系统的结构,词汇形成短语.
- 这种结构背后的统计属性尚未完全理解.
研究的目的:
- 调查代码中自然语言类系统性的出现.
- 探索预测信息 (过度) 在塑造语言结构中的作用.
- 将语言的统计属性与认知约束联系起来.
主要方法:
- 由预测信息所限制的代码的模拟.
- 跨语言文本体的分析.
- 人类语言复杂性与基线模型的比较.
主要成果:
- 最小化预测信息的代码开发系统,局部表达的特征类似于单词和短语.
- 人类语言在声学,形态学,语法和词汇语义上表现出较低的预测信息.
- 在统计/代数语言结构和通信约束之间建立了联系.
结论:
- 类似于自然语言的系统性可以从最小化预测信息中产生.
- 人类语言的结构是统计学上高效的,可能是由认知和沟通压力所塑造的.
- 这项工作将信息理论和语言学联系起来,为语言演变提供了洞察力.
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