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


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.
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Becerra-Bonache, L., & Jiménez López, M. D. (2014). Linguistic Models at the Crossroads of Agents, Learning and Formal Languages. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 3(4), 67–87.


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Author Biographies

Leonor Becerra-Bonache

Jean Monnet University
Laboratoire Hubert Curien, maitre de conference

M. Dolores Jiménez López

Universitat Rovira i Virgili
Departament de Filologies Romàniques. Profesor agregado