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Modelling language evolution: Examples and predictions
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DOI：10.1016/j.plrev.2013.11.009.png)
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Abstract
En 中文
We survey recent computer modelling research of language evolution, focusing on a rule-based model simulating the lexicon syntax coevolution and an equation-based model quantifying the language competition dynamics. We discuss four predictions of these models: (a) correlation between domain-general abilities (e.g. sequential learning) and language-specific mechanisms (e.g. word order processing); (b) coevolution of language and relevant competences (e.g. joint attention); (c) effects of cultural transmission and social structure on linguistic understandability; and (d) commonalities between linguistic, biological, and physical phenomena. All these contribute significantly to our understanding of the evolutions of language structures, individual learning mechanisms, and relevant biological and socio-cultural factors. We conclude the survey by highlighting three future directions of modelling studies of language evolution: (a) adopting experimental approaches for model evaluation; (b) consolidating empirical foundations of models; and (c) multi-disciplinary collaboration among modelling, linguistics, and other relevant disciplines. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Evolutionary linguistics
Computer modelling
Rule-based model
Equation-based model
Complex adaptive system
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