Semantic Refinement of Multi-meaning Words by T-norms

F. Sadeghi; H. Khosravi; E. Eslami

doi:10.3844/jcssp.2005.400.404

ISSN 1549-3636 (print)eISSN 1552-6607 (online) Open access

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Research Article · Free to read · Published 30 September 2005

Semantic Refinement of Multi-meaning Words by T-norms

F. Sadeghi, H. Khosravi & E. Eslami

Journal of Computer Science, Volume 1, Issue 3, pp. 400–404 · doi.org/10.3844/jcssp.2005.400.404

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Abstract

In this paper we consider a multi-meaning word which appears in a sentence together with some connected words. To refine the meaning of this multi-meaning word, we propose a method based on T-norms which are reasonable mathematical models of logical conjunction operator in fuzzy logic. The preliminary results derived from a prepared corpus are encouraging.

KeywordsMulti-Meaning Word NLU NLP Ambiguity Connected Word Correct Meaning T-Norm

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Sadeghi, F., Khosravi, H. & Eslami, E. (2005). Semantic Refinement of Multi-meaning Words by T-norms. Journal of Computer Science, 1(3), 400–404. https://doi.org/10.3844/jcssp.2005.400.404

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