Affiliation:
1. Department of Linguistics, University of Konstanz , Konstanz , Germany
Abstract
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.
Funder
European Research Council
Publisher
Oxford University Press (OUP)
Subject
Developmental Neuroscience,Linguistics and Language,Developmental and Educational Psychology
Reference28 articles.
1. ‘Adult Learning and Language Simplification’;Atkinson;Cognitive Science,2018
2. ‘Fitting Linear Mixed-Effects Models Using lme4’;Bates;Journal of Statistical Software,2015
3. A Comparison between Morphological Complexity Measures: Typological Data vs. Language Corpora’;Bentz,2016
4. ‘Languages with More Second Language Learners Tend to Lose Nominal Case’;Winter;Language Dynamics and Change,2013
5. ‘Imperfect Language Learning Reduces Morphological Overspecification: Experimental Evidence’;Berdicevskis;PLoS One,2022
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献