Linguistic Models at the Crossroads of Agents, Learning and Formal Languages

Linguistic Models at the Crossroads of Agents, Learning and Formal Languages

Authors:
Leonor BECERRA-BONACHE, M. Dolores JIMÉNEZ LÓPEZ

DOI:
http://dx.doi.org/10.14201/ADCAIJ2014346888

Volume:
Regular Issue 3 (4), 2014

Keywords: 
agents; learning; formal languages; linguistics

This paper aims at reviewing the most relevant linguistic applications developed in the intersection between three different fields: machine learning, formal language theory and agent technologies. On the one hand, we present some of the main linguistic contributions of the intersection between machine learning and formal languages, which constitutes a well-established research area known as Grammatical Inference. On the other hand, we present an overview of the main linguistic applications of models developed in the intersection between agent technologies and formal languages, such as colonies, grammar systems and eco-grammar systems. Our goal is to show how interdisciplinary research between these three fields can contribute to better understand how natural language is acquired and processed.

JCR

Position in 2022 Journal Citation Indicator (JCI) Ranking:
Category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE


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