语言系统和社会语言环境作为语言变异的竞争因素:一种类型学方法

IF 0.4 0 LANGUAGE & LINGUISTICS
Kaius Sinnemäki
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引用次数: 12

摘要

摘要本文将类型学和社会语言学的方法结合起来研究语言变异。其主要目的是评价语言内部和外部因素对世界语言案例数量的相对影响。我将词序作为语言的内部预测器建模;众所周知,例如,具有动词-末词序的语言(即两个名义参数都位于主要词汇动词之前的语言)往往比具有SVO词序的语言更容易发展出复杂的分格系统。将人口规模和语言群体中第二语言使用者的比例作为社会语言学预测因子;最近有人提出,这些因素会影响世界各语言的案例数量分布。用广义线性混合效应模型对数据进行建模表明,一方面,案例数量、词序和第二语言使用者比例之间存在相互作用,另一方面,案例数量、词序和人口规模之间存在相互作用。这种复杂的相互作用以前没有在类型学研究中报道过,因此它们需要比以前提出的跨语言变异更复杂的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linguistic system and sociolinguistic environment as competing factors in linguistic variation: A typological approach
Abstract This paper brings together typological and sociolinguistic approaches to language variation. Its main aim is to evaluate the relative effect of language internal and external factors on the number of cases in the world’s languages. I model word order as a language internal predictor; it is well-known that, for instance, languages with verb-final word order (that is, languages in which both nominal arguments precede the main lexical verb) tend to develop complex case systems more often than languages with SVO word order do. I model population size and the proportion of second language speakers in the speech community as sociolinguistic predictors; these factors have been suggested recently to influence the distribution of the number of cases in the world’s languages. Modelling the data with generalized linear mixed effects modelling suggests an interaction between the number of cases, word order, and the proportion of second language speakers on the one hand, and between the number of cases, word order, and population size, on the other. This kind of complex interactions have not been previously reported in typological research wherefore they call for more complex explanations than previously suggested for cross-linguistic variation.
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来源期刊
CiteScore
1.10
自引率
33.30%
发文量
21
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