A KNOWLEDGE BASED APPROACHFOR WORD SENSE DISAMBIGUATION OF TELUGU LANGUAGE
DOI:
https://doi.org/10.61841/0z5rcw21Keywords:
Knowledge based Approach for Word SenseDisambiguation of Telugu LanguageAbstract
Words in the Natural language often correspond to different meanings in different contexts. Such words are referred to as polysemous words i.e. words having more than one sense. A knowledge based algorithm is proposed for disambiguating Telugu polysemous words using computational linguistics tool, Word Net. The task of word sense disambiguation requires finding out the similarity between the target word and the nearby words. In this algorithm similarity is calculated either by finding out the number of common words (intersection) between the glosses (definitions/meanings) of the target and nearby words, or by finding out the exact occurrence of the nearby word's sense in the hierarchy (hypernyms) of the target word's senses. The above two parameters are modified by computing intersection using not only the glosses but also by including the related words. Also the intersection is computed for the entire hierarchy of the target and nearby words. It also includes a third parameter 'distance' which measures the distance between target and nearby words. The proposed approach incorporates more parameters for calculating similarity, which has not been attempted by any of the previous approaches. It scores the senses based on the overall impact of three parameters i.e. intersection, hierarchy and distance and then chooses the sense with the highest score. The correct sense of Telugu polysemous word would be identified with this approach
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References
1. Manning, C. and Schutze, H. Foundations of Statistical Natural Language Processing. MIT Press, Cambridge, MA, 1999.
2. Jurafsky, D. and Martin, J. Speech and Languag Processing. Prentice Hall, Upper Saddle River, NJ,2000.
3. BasakMutlum,WordSenseDisambiguationhttp://www.denizyuret.com/students/bmutlum/index. htm
4. Y. Wilks, D. Fass, C. Guo, J. McDonald, T. Plate, B. Slator, Providingmachine tractable dictionary tools, MachineTranslation 5, 99–154,1990.
5. Manish Sinha, Mahesh Kumar, Prabhakar Pande, Lakshmi Kashyap and Pushpak Bhattacharyya, , Hindi Word Sense Disambiguation, International Symposium on Machine Translation, Natural Language
6. Processing and Translation Support Systems, Delhi, India, November, 2004 http://www.cse.iitb.ac.in/~pb/papers/HindiWSD.pdf
7. M. Quillian, Semantic memory, in: M. Minsky (Ed.), Semantic Information Processing, the MIT Press, Cambridge, MA, pp. 227–270,1968.
8. J. Cowie, J. Guthrie, L. Guthrie, Lexical disambiguation using simulated annealing, in: Proceedings of the 14th International Conference on Computational Linguistics, Nantes, France, pp.359–365,1992.
9. Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French,David YarowskyACL1994
10. Navigli R 2009 Word sense disambiguation: a survey.ACMComput. Surv. 41(2): 1–69
11. Xiaojie W and Matsumoto Y 2003 Chinese word sense disambiguation by combining pseudo training data. In: Proceedings of the International Conference on Natural Language Processing and Knowledge Engineering, pp. 138–143
12. Sanderson M 1994 Word sense disambiguation and information retrieval. In: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and
13. Development in Information Retrieval, SIGIR’94, July03–06, Dublin, Ireland. New York: Springer, pp.142–151Eneko Agirre E and Edmonds P (Eds.) Word SenseDisambiguation: Algorithms and Applications
14. Lei Guo, Xiaodong Wang, Jun Fang, 'OntologyClarification by UsingSemantic Disambiguation', 978 - 1-4244-1651-6/08, IEEE 2008.
15. S. P. Ponzetto, R. Navigli, "Knowledge-rich WordSense Disambiguation rivaling supervised systems,” Proc. of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1522- 1531, 2010.
16. Roberto Navigli and Paola Velardi, "Structural semantic interconnections: A knowledge-based approach to word sense disambiguation", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 27, No. 7, pp. 1075-1086, July 2005.
17. Boshra F. ZoponAl_Bayaty and Dr.Shashank Joshi“Word Sense Disambiguation (WSD) and Information Retrieval (IR): Literature Review” ijarcsse,Volume 4, Issue 2,ISSN: 2277 128X, February. 2014.
18. Lucia Specia, Sujay Kumar Jauhar, RadaMihalcea, SemEval 2012 Task 1: English Lexical Simplification, in Proceedings of the SemEval-2012 Workshop on Semantic Evaluation Exercises, Montreal, Canada, June 2012.
19. Kulkarni, M.Comput. Eng. Dept., V.J.T.I., Mumbai, India,Sane, S. “An ontology clarification tool for word sense disambiguation”20113rd International Conference, IEEE - Electronics Computer Technology (ICECT),292 – 296, E-ISBN :978- 1-4244-8679-3, 8-10 April 2011.
20. RadaMihalcea, "Knowledge-Based Methods for WSD", e-ISBN 978-1- 4020-4809-2, Springer 2007.
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