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Research Article Open Access

Semantic Refinement of Multi-meaning Words by T-norms

F. Sadeghi, H. Khosravi and E. Eslami

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.

Journal of Computer Science
Volume 1 No. 3, 2005, 400-404

DOI: https://doi.org/10.3844/jcssp.2005.400.404

Submitted On: 6 April 2005 Published On: 30 September 2005

How to Cite: 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

Open AccessCopyright: © 2005 F. Sadeghi, H. Khosravi and E. Eslami. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Multi-Meaning Word
  • NLU
  • NLP
  • Ambiguity
  • Connected Word
  • Correct Meaning
  • T-Norm