Investigating environmental effects on phonology using diachronic models

IF 2.2 Q1 ANTHROPOLOGY
Frederik Hartmann, Seán G. Roberts, Paul Valdes, Rebecca Grollemund
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引用次数: 0

Abstract

Previous work has proposed various mechanisms by which the environment may affect the emergence of linguistic features. For example, dry air may cause careful control of pitch to be more effortful, and so affect the emergence of linguistic distinctions that rely on pitch such as lexical tone or vowel inventories. Criticisms of these proposals point out that there are both historical and geographic confounds that need to be controlled for. We take a causal inference approach to this problem to design the most detailed test of the theory to date. We analyse languages from the Bantu language family, using prior geographic-phylogenetic tree of relationships to establish where and when languages were spoken. This is combined with estimates of humidity for those times and places, taken from historical climate models. We then estimate the strength of causal relationships in a causal path model, controlling for various influences of inheritance and borrowing. We find no evidence to support the previous claims that humidity affects the emergence of lexical tone. This study shows how using causal inference approaches lets us test complex causal claims about the cultural evolution of language.
利用非同步模型调查环境对语音的影响
以往的研究提出了环境可能影响语言特征产生的各种机制。例如,干燥的空气可能会使人们更费力地控制音调,从而影响依赖音调的语言特征的出现,如词汇音调或元音清单。对这些建议的批评指出,需要对历史和地理因素加以控制。我们采用因果推论的方法来解决这个问题,从而设计出迄今为止最详细的理论测试。我们分析了班图语系的语言,利用先前的地理-系统发育关系树来确定语言的使用地点和时间。这与从历史气候模型中获取的这些时间和地点的湿度估计值相结合。然后,我们在因果路径模型中估算了因果关系的强度,并控制了继承和借用的各种影响因素。我们没有发现任何证据支持之前关于湿度影响词调出现的说法。这项研究表明,使用因果推理方法可以检验语言文化演变的复杂因果关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Evolutionary Human Sciences
Evolutionary Human Sciences Social Sciences-Cultural Studies
CiteScore
4.60
自引率
11.50%
发文量
49
审稿时长
10 weeks
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