PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

L Systems as Bio-MAS for Natural Language Processing
Leonor Becerra, Suna Bensch and María Dolores Jiménez-López
PAAMS 2010 - Proceedings of 8th International Conference on Practical Applications of Agents and Multi-Agent Systems Volume 71, pp. 395-402, 2010.

Abstract

In this paper, we claim that Lindenmayer systems (L systems) –more precisely, ET0L systems– can be considered as bio-inspired multi-agent systems that, because of its inherent features, can be usefully applied to the field of natural language processing (NLP). L systems are a biologically inspired branch of the field of formal languages that provide a parallel and non-sequential grammatical formalism and that can be expressed as a multi-agent system. Taking into account these features and the benefits of the multi-agent approach to NLP, we propose to apply L systems to the description, analysis and processing of natural languages.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:7565
Deposited By:Leonor Becerra
Deposited On:17 March 2011