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)


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.


Hindi Word Sense Disambiguation Semantic Relatedness Semantic Similarity Semantic Distance 


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  1. 1.
  2. 2.
  3. 3.
    Budanitsky, A., Hirst, G.: Evaluating WordNet-based Measures of Lexical Semantic Relatedness. Computational Linguistics 32(1), 13–47 (2006)CrossRefzbMATHGoogle Scholar
  4. 4.
    Hirst, G., St-Onge, D.: Lexical chains as representations of context for the detection and correction of malapropisms. In: Fellbaum, C. (ed.) WordNet: An Electronic Lexical Database, pp. 305–332 (1998)Google Scholar
  5. 5.
    Jiang, J., Conrath, D.: Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings on International Conference on Research in Computational Linguistics, Taiwan, (1997)Google Scholar
  6. 6.
    Khapra, M., Bhattacharyya, P., Chauhan, S., Nair, S., Sharma, A.: Domain Specific Iterative Word Sense Disambiguation in a Multilingual Set-ting. In: Proceedings of International Conference on NLP (ICON 2008), Pune, India (2008)Google Scholar
  7. 7.
    Leacock, C., Chodorow, M.: Combining local context and WordNet similarity for word sense identification. In: Fellbaum, C. (ed.) WordNet: An Electronic Lexical Database, pp. 265–283 (1998)Google Scholar
  8. 8.
    Lin, D.: Using syntactic dependency as a local context to resolve word sense ambiguity. In: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, pp. 64–71 (1997)Google Scholar
  9. 9.
    Reddy, S., Inumella, A., Singh, N., Sangal, R.: Hindi Semantic Category Labeling using Semantic Relatedness Measures. In: Proceedings of Global WordNet Conference (2010)Google Scholar
  10. 10.
    Resnik, P.: Using information content to evaluate semantic similarity in taxonomy. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence, Montreal, pp. 448–453 (1995)Google Scholar
  11. 11.
    Singh, S., Siddiqui, T.J.: Evaluating Effect of Context Window Size, Stemming and Stop Word Removal on Hindi Word Sense Disambiguation. In: Proceedings of the International Conference on Information Retrieval & Knowledge Management, CAMP 2012, Malaysia, pp. 1–5 (2012)Google Scholar
  12. 12.
    Sinha, M., Kumar, M., Pande, P., Kashyap, L., Bhattacharyya, P.: Hindi Word Sense Disambiguation. In: International Symposium on Machine Translation, Natural Language Processing and Translation Support Systems, Delhi, India (2004)Google Scholar
  13. 13.
    Sinha, R., Mihalcea, R.: Unsupervised Graph-based Word Sense Disambiguation Using Measures of Word Semantic Similarity. In: Proceedings of the International Conference on Semantic Computing, ICSC 2007, pp. 363–369 (2007)Google Scholar
  14. 14.
    Torres, S., Gelbukh, A.: Comparing Similarity Measures for Original WSD Lesk Algorithm Advances in Computer Science and Applications. Research in Computing Science 43, 155–166 (2009)Google Scholar

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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