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Geospatial distributions reflect temperatures of linguistic features

机译:地理空间分布反映了语言特征的温度

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Quantifying the speed of linguistic change is challenging because the historical evolution of languages is sparsely documented. Consequently, traditional methods rely on phylogenetic reconstruction. Here, we propose a model-based approach to the problem through the analysis of language change as a stochastic process combining vertical descent, spatial interactions, and mutations in both dimensions. A notion of linguistic temperature emerges naturally from this analysis as a dimensionless measure of the propensity of a linguistic feature to undergo change. We demonstrate how temperatures of linguistic features can be inferred from their present-day geospatial distributions, without recourse to information about their phylogenies. Thus, the evolutionary dynamics of language, operating across thousands of years, leave a measurable geospatial signature. This signature licenses inferences about the historical evolution of languages even in the absence of longitudinal data.
机译:量化语言变化的速度是具有挑战性的,因为语言的历史演变稀疏地记录了。 因此,传统方法依赖于系统发育重建。 在这里,我们通过将语言变化作为随机过程中的随机过程分析,提出了一种基于模型的方法来解决问题。 语言温度的概念自然地从该分析中出现,作为对语言特征的倾向的无量纲衡量要发生变化的倾向。 我们展示了语言特征的温度如何从他们当前的地理空间分布推断出来,而无需诉诸他们的系统发作的信息。 因此,语言的进化动态,在数千年上运行,留下可衡量的地理空间签名。 即使在没有纵向数据的情况下,这种签名牌照推断了语言的历史演变。

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