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- Publisher Website: 10.1016/j.plrev.2013.11.009
- Scopus: eid_2-s2.0-84901440989
- PMID: 24286718
- WOS: WOS:000337982800028
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Article: Modeling language evolution: Examples and predictions
Title | Modeling language evolution: Examples and predictions |
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Authors | |
Keywords | Complex adaptive system Computer modelling Equation-based model Evolutionary linguistics Rule-based model |
Issue Date | 2014 |
Citation | Physics of Life Reviews, 2014, v. 11, p. 280-302 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/198273 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Gong, T | en_US |
dc.contributor.author | Shuai, L | en_US |
dc.contributor.author | Zhang, M | en_US |
dc.date.accessioned | 2014-06-25T02:58:34Z | - |
dc.date.available | 2014-06-25T02:58:34Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | Physics of Life Reviews, 2014, v. 11, p. 280-302 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/198273 | - |
dc.description.abstract | 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. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Physics of Life Reviews | en_US |
dc.subject | Complex adaptive system | - |
dc.subject | Computer modelling | - |
dc.subject | Equation-based model | - |
dc.subject | Evolutionary linguistics | - |
dc.subject | Rule-based model | - |
dc.title | Modeling language evolution: Examples and predictions | en_US |
dc.type | Article | en_US |
dc.identifier.email | Gong, T: tgong@hku.hk | en_US |
dc.identifier.authority | Gong, T=rp01654 | en_US |
dc.identifier.doi | 10.1016/j.plrev.2013.11.009 | en_US |
dc.identifier.pmid | 24286718 | - |
dc.identifier.scopus | eid_2-s2.0-84901440989 | - |
dc.identifier.hkuros | 229497 | en_US |
dc.identifier.volume | 11 | en_US |
dc.identifier.spage | 280 | en_US |
dc.identifier.epage | 302 | en_US |
dc.identifier.isi | WOS:000337982800028 | - |