Journal of Language Evolution · 2023 · 19 citations · 18 references
Language StudiesLinguisticsLanguage AcquisitionMorphologySociolinguisticsMorphological AnalysisMorphological ComplexityMorphological TheorySecond Language AcquisitionComplexityInformation ComplexityMultiple ImputationRoyal Society
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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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
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Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
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