Adding morphological information to a connectionist part-of-speech tagger

Authors:
Francisco Zamora-Martínez;María José Castro-Bleda;Salvador España-Boquera;Salvador Tortajada-Velert
Affiliations:
Departamento de Ciencias Físicas, Matemáticas y de la Computación, Universidad CEU-Cardenal Herrera, Valencia, Spain;Departamento de Sistemas Informáticos y Computación;Departamento de Sistemas Informáticos y Computación;IBIME, Instituto de Aplicaciones de Tecnologías de la Información y de las Comunicaciones Avanzadas, Universidad Politécnica de Valencia, Valencia, Spain
Venue:
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Year:
2009

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Abstract

In this paper, we describe our recent advances on a novel approach to Part-Of-Speech tagging based on neural networks. Multilayer perceptrons are used following corpus-based learning from contextual, lexical and morphological information. The Penn Treebank corpus has been used for the training and evaluation of the tagging system. The results show that the connectionist approach is feasible and comparable with other approaches.