Language structure is influenced by the proportion of non-native speakers: A reply to

IF 2.1 N/A LANGUAGE & LINGUISTICS Journal of Language Evolution Pub Date : 2023-04-20 DOI:10.1093/jole/lzad005
Henri Kauhanen, Sarah Einhaus, G. Walkden
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引用次数: 3

Abstract

A recent quantitative study claims language structure, whether quantified as morphological or information-theoretic complexity, to be unaffected by the proportion of those speaking the language non-natively [A. Koplenig, Royal Society Open Science, 6, 181274 (2019)]. This result hinges on either the use of a categorical notion of ‘vehicularity’ as a proxy for the proportion of L2 (second-language) speakers, or the imputation of an assumed zero proportion of L2 speakers for languages that are considered non-vehicular but for which no direct estimate of that proportion exists. We provide two alternative analyses of the same data. The first reanalysis treats uncertain non-vehicular languages as missing data points; the second one employs multiple imputation to fill in the missing data. Mixed effects models find a statistically significant negative relationship between proportion of L2 speakers and morphological complexity: in both reanalyses, a higher proportion of L2 speakers predicts lower morphological complexity. We find no statistically significant evidence for a relationship between proportion of L2 speakers and information-theoretic complexity, however.
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语言结构受非本族语使用者比例的影响
最近的一项定量研究声称,语言结构,无论是被量化为形态学还是信息论复杂性,都不受非母语者比例的影响[A.Koplenig,英国皇家学会开放科学,6818274(2019)]。这一结果取决于使用“车辆性”的分类概念作为二语(第二语言)使用者比例的代表,或者对于被认为是非车辆性的但不存在对该比例的直接估计的语言,假设二语使用者的比例为零。我们提供了对相同数据的两种替代分析。第一次重新分析将不确定的非车载语言视为缺失的数据点;第二种方法采用多重插补来填补缺失的数据。混合效应模型发现,二语使用者的比例与形态复杂性之间存在统计学上显著的负相关关系:在两次重新分析中,二语者比例越高,形态复杂性越低。然而,我们没有发现有统计学意义的证据表明二语使用者的比例与信息论复杂性之间存在关系。
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来源期刊
Journal of Language Evolution
Journal of Language Evolution Social Sciences-Linguistics and Language
CiteScore
4.50
自引率
7.70%
发文量
8
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