Abstract
The availability of a well structured lexicon and of a parser that takes advantage of that structure for the analysis of sentences are of fundamental importance in a natural language processing system. A syntactic-conceptual analyzer of sentences in the Spanish language based on the cognitive model of Kavi Mahesh is presented. A Spanish lexicon extracted from WordNet is used for disambiguation. The terms in the lexicon are restricted to those used in the gardening domain. The structure defining each concept was widened, including for each one of the concepts three additional attributes: the actions that the entity defined by the concept usually accomplishes, the actions that others accomplish on that entity, and the actions that the entity accomplishes on itself. The analyzer itself is constituted by a finite state automata, of the augmented transition network kind, and represents a part of the Spanish grammar with which the disambiguation method is illustrated. The procedure correctly desambiguates the sentences, though is sensitive to the placement of the associated actions in the concepts within the hierarchy of the lexicon. Based on a well-structured lexicon, the method operates correctly.
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Ibarra Rivera, M.A., Favela Vara, J., López-López, A. (2000). Syntactic-Conceptual Analysis of Sentences in Spanish Using a Restricted Lexicon for Disambiguation. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_49
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DOI: https://doi.org/10.1007/10720076_49
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