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Computational methods and grammars in language evolution: a survey

Articolo
Data di Pubblicazione:
2016
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Language evolution · Grammatical evolution · Evolutionary computation · Agent-based models · Natural language · Multimodal language · Game-theoretic models
Elenco autori:
Grifoni, Patrizia; Ferri, Fernando; D'Ulizia, Arianna
Autori di Ateneo:
D'ULIZIA ARIANNA
FERRI FERNANDO
GRIFONI PATRIZIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/304610
Pubblicato in:
ARTIFICIAL INTELLIGENCE REVIEW
Journal
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URL

https://link.springer.com/article/10.1007%2Fs10462-015-9449-3
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