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人类语言的信息密度越大,其交流速度就越快,但对话广度就越低。

Human languages with greater information density have higher communication speed but lower conversation breadth.

机构信息

Department of Management and Organization, Carey Business School, Johns Hopkins University, Baltimore, MD, USA.

Department of Sociology & Knowledge Lab, University of Chicago, Chicago, IL, USA.

出版信息

Nat Hum Behav. 2024 Apr;8(4):644-656. doi: 10.1038/s41562-024-01815-w. Epub 2024 Feb 16.

Abstract

Human languages vary widely in how they encode information within circumscribed semantic domains (for example, time, space, colour, human body parts and activities), but little is known about the global structure of semantic information and nothing about its relation to human communication. We first show that across a sample of ~1,000 languages, there is broad variation in how densely languages encode information into words. Second, we show that this language information density is associated with a denser configuration of semantic information. Finally, we trace the relationship between language information density and patterns of communication, showing that informationally denser languages tend towards faster communication but conceptually narrower conversations or expositions within which topics are discussed at greater depth. These results highlight an important source of variation across the human communicative channel, revealing that the structure of language shapes the nature and texture of human engagement, with consequences for human behaviour across levels of society.

摘要

人类语言在如何在特定语义领域内编码信息(例如,时间、空间、颜色、人体部位和活动)方面差异很大,但对于语义信息的全球结构及其与人类交流的关系却知之甚少。我们首先表明,在约 1000 种语言的样本中,语言将信息密集地编码到单词中的方式存在广泛的差异。其次,我们表明这种语言信息密度与语义信息的更密集配置相关。最后,我们追踪了语言信息密度与交流模式之间的关系,表明信息密度更高的语言往往具有更快的交流速度,但在概念上更狭窄的对话或论述中,主题会被更深入地讨论。这些结果突出了人类交流渠道中的一个重要变化来源,揭示了语言结构塑造了人类参与的性质和方式,对社会各层面的人类行为都有影响。

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