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Computational methods and grammars in language evolution: a survey

delete2015-11-24
delete10
PRE
AI
P
Patrizia Grifoni
A
Arianna D’Ulizia
F
Ferri, Fernando *
DOI:10.1007/s10462-015-9449-3delete
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摘要

摘要

En 中文
The interest in language evolution by various disciplines, such as linguistics, computer science, biology, etc., makes language evolution models an active research topic and many models have been defined in the last decade. In this work, an overview of computational methods and grammars in language evolution models is given. It aims to introduce readers to the main concepts and the current approaches in language evolution research. Some of the language evolution models, developed during the decade 2003-2012, have been described and classified considering both the grammatical representation (context-free, attribute, Christiansen, fluid construction, or universal grammar) and the computational methods (agent-based, evolutionary computation-based or game theoretic). Finally, an analysis of the surveyed models has been carried out to evaluate their possible extension towards multimodal language evolution.
Keyword:
Language evolution
Grammatical evolution
Evolutionary computation
Agent-based models
Natural language
Multimodal language
Game-theoretic models
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Artificial Intelligence Review 封面图
Artificial Intelligence Review
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consiglio nazionale delle ricerche (cnr)
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被引数: 48
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