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Computational methods and grammars in language evolution: a survey

Computational methods and grammars in language evolution: a survey 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Computational methods and grammars in language evolution: a survey

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References (67)

Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer Science+Business Media Dordrecht
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Computer Science, general
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1007/s10462-015-9449-3
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Artificial Intelligence ReviewSpringer Journals

Published: Nov 24, 2015

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