用信息瓶颈理论解释语言为何具备凸性结构
When Efficient Communication Explains Convexity
- 用信息瓶颈框架分析语言表达中的简约与信息量平衡
- 发现语义需求分布的凸性与通信最优性显著相关
- 揭示凸性是高效通信的内在驱动力，适合认知科学读者
近期研究认为世界语言差异可从高效通信视角解释，即语言在简洁性与信息量间取得平衡。本文聚焦语义类型学，探讨高效通信如何促成有效解释。基于信息瓶颈（Information Bottleneck, IB）框架，首先验证并分析了IB最优性与一种新型凸性推广之间的关联。其次，在IB框架中操控多种建模参数，探究驱动该关联的关键因素。结果表明，语义需求分布的凸性起核心作用。研究不仅证明高效通信可解释语义类型学特征，更进一步揭示其背后的机制，回答了‘为何’这一现象存在的问题。
原文摘要 · Abstract (English)
Much recent work has argued that the variation in the languages of the world can be explained from the perspective of efficient communication; in particular, languages can be seen as optimally balancing competing pressures to be simple and to be informative. Focusing on the expression of meaning -- semantic typology -- the present paper asks what factors are responsible for successful explanations in terms of efficient communication. Using the Information Bottleneck (IB) approach to formalizing this trade-off, we first demonstrate and analyze a correlation between optimality in the IB sense and a novel generalization of convexity to this setting. In a second experiment, we manipulate various modeling parameters in the IB framework to determine which factors drive the correlation between convexity and optimality. We find that the convexity of the communicative need distribution plays an especially important role. These results move beyond showing that efficient communication can explain aspects of semantic typology into explanations for why that is the case by identifying which underlying factors are responsible.
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