Proceedings of the International Joint Conference on Computational Intelligence 2009
DOI: 10.5220/0002313004210426
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A Connectionist Approach to Part-of-Speech Tagging

Abstract: In this paper, we describe a novel approach to Part-Of-Speech tagging based on neural networks. Multilayer perceptrons are used following corpus-based learning from contextual and lexical 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.

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