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Hindi Word Sense Disambiguation Using Semantic Relatedness Measure

  • Satyendr Singh
  • Vivek Kumar Singh
  • Tanveer J. Siddiqui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8271)

Abstract

In this paper we propose and evaluate a method of Hindi word sense disambiguation that computes similarity based on the semantics. We adapt an existing measure for semantic relatedness between two lexically expressed concepts of Hindi WordNet. This measure is based on the length of paths between noun concepts in an is-a hierarchy. Instead of relying on direct overlap the algorithm uses Hindi WordNet hierarchy to learn semantics of words and exploits it in the disambiguation process. Evaluation is performed on a sense tagged dataset consisting of 20 polysemous Hindi nouns. We obtained an overall average accuracy of 60.65% using this measure.

Keywords

Hindi Word Sense Disambiguation Semantic Relatedness Semantic Similarity Semantic Distance 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Satyendr Singh
    • 1
  • Vivek Kumar Singh
    • 2
  • Tanveer J. Siddiqui
    • 1
  1. 1.Department of Electronics & CommunicationUniversity of AllahabadAllahabadIndia
  2. 2.South Asian UniversityNew DelhiIndia

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