Research Article Open Access

Semantic Refinement of Multi-meaning Words by T-norms

F. Sadeghi1, H. Khosravi1 and E. Eslami1
  • 1 ,
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

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.

  • 1,174 Views
  • 1,534 Downloads
  • 0 Citations

Download

Keywords

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