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Article: Modeling language evolution: Examples and predictions

TitleModeling language evolution: Examples and predictions
Authors
Issue Date2014
Citation
Physics of Life Reviews, 2014, v. 11, p. 280-302 How to Cite?
AbstractWe 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.
Persistent Identifierhttp://hdl.handle.net/10722/198273
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGong, Ten_US
dc.contributor.authorShuai, Len_US
dc.contributor.authorZhang, Men_US
dc.date.accessioned2014-06-25T02:58:34Z-
dc.date.available2014-06-25T02:58:34Z-
dc.date.issued2014en_US
dc.identifier.citationPhysics of Life Reviews, 2014, v. 11, p. 280-302en_US
dc.identifier.urihttp://hdl.handle.net/10722/198273-
dc.description.abstractWe 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.en_US
dc.languageengen_US
dc.relation.ispartofPhysics of Life Reviewsen_US
dc.titleModeling language evolution: Examples and predictionsen_US
dc.typeArticleen_US
dc.identifier.emailGong, T: tgong@hku.hken_US
dc.identifier.authorityGong, T=rp01654en_US
dc.identifier.doi10.1016/j.plrev.2013.11.009en_US
dc.identifier.pmid24286718-
dc.identifier.hkuros229497en_US
dc.identifier.volume11en_US
dc.identifier.spage280en_US
dc.identifier.epage302en_US
dc.identifier.isiWOS:000337982800028-

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