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Language Structures May Adapt to the Sociolinguistic Environment but It Matters What and How You Count: A Typological Study of Verbal and Nominal Complexity

机译:语言结构可能会适应社会语言环境但无论您如何计数它都很重要:语言和名词复杂性的类型学研究

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摘要

In this article we evaluate claims that language structure adapts to sociolinguistic environment. We present the results of two typological case studies examining the effects of the number of native (=L1) speakers and the proportion of adult second language (=L2) learners on language structure. Data from more than 300 languages suggest that testing the effect of population size and proportion of adult L2 learners on features of verbal and nominal complexity produces conflicting results on different grammatical features. The results show that verbal inflectional synthesis adapts to the sociolinguistic environment but the number of genders does not. The results also suggest that modeling population size together with proportion of L2 improves model fit compared to modeling them independently of one another. We thus argue that surveying population size alone may be insufficient to detect possible adaptation of linguistic structure to the sociolinguistic environment. Rather, other features, such as proportion of L2 speakers, prestige and social network density, should be studied, and if demographic numeric data are used, they should not be used in isolation but rather in competition with other sociolinguistic features. We also suggest that not all types of language structures within a given grammatical domain are equally sensitive to the effect of sociolinguistic variables, and that more exploratory studies are needed before we can arrive at a reliable set of grammatical features that may be potentially most (and least) adaptive to social structures.
机译:在本文中,我们评估了有关语言结构适应社会语言环境的主张。我们提供了两个类型学案例研究的结果,这些案例研究了母语(= L1)讲者的数量和成人第二语言(= L2)学习者对语言结构的影响。来自300多种语言的数据表明,测试人口规模和成年L2学习者比例对口头和名义上的复杂性特征的影响会在不同的语法特征上产生矛盾的结果。结果表明,言语屈折综合能够适应社会语言环境,但性别数量却不适应。结果还表明,与相互独立建模相比,对人口规模和L2比例进行建模可以提高模型的拟合度。因此,我们认为仅调查人口规模可能不足以检测语言结构对社会语言环境的可能适应性。相反,应该研究其他特征,例如说第二语言的人的比例,声望和社交网络密度,并且如果使用人口统计数字数据,则不应孤立使用它们,而应与其他社会语言特征竞争。我们还建议,在给定的语法域内,并非所有类型的语言结构都对社会语言变量的影响同样敏感,因此,在我们得出可能是最潜在的可靠语法特征集之前,还需要进行更多的探索性研究。至少)适应社会结构。

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