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Hindi Word Sense Disambiguation Using Lesk Approach on Bigram and Trigram Words

Authors:

Chandra Bhal Singh Gautam,

Dilip Kumar SharmaAuthors Info & Claims

AICTC '16: Proceedings of the International Conference on Advances in Information Communication Technology & Computing

Article No.: 81, Pages 1 - 5

https://doi.org/10.1145/2979779.2979860

Published: 12 August 2016 Publication History

Abstract

Word Sense Disambiguation (WSD) is a vital task which provides the definition of particular words according to their sense or according to given context. Lesk algorithm is originally based on the gloss overlap that can be observed as the measure, semantics relatedness. Lesk algorithm is used to find the correct sense of ambiguous words. In India, the Hindi language is widely used for communication both in verbal and scripting. In this, research paper the Lesk Approach is applied for finding bigrams and trigrams words sentences written in the Hindi language, which contains the verb words as the polysemy words. Manually 15 words of the verb are used which are ambiguous in nature from Hindi Wordnet. These verb words on evaluation, provide the overall average precision of bigram words as 52.98% and trigram words as 37.04% and an overall average recall of bigram word as 33.17% and trigram words as 18.56%.

References

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Agirre, E. and Edmonds, P. 2006. Word Sense Disambiguation: Algorithms and Applications Springer, New York, NY.

Digital Library

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Banerjee, S. and Pederson, T. 2002, "An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet" In Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing.

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Chakrabarti, D., Pande, P. and Bhattacharyya, P. 2002. "An experience in building the indo WorldNet- A WorldNet for Hindi", In First International Conference on Global WordNet, Mysore, India.

[4]

Hindi WordNet http://www.cfilt.iitb.ac.in/wordnet/webhwn/

[5]

Lesk, M. E. 1986. Automatic Sense Disambiguation Using Machine Readable Dictionaries: How to Tell a Pine Cone from an Ice Cream Cone. SIGDOC Conference, Toronto, Ontario, June.

Digital Library

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Mishra, N., Yadav, S. and Siddiqui, T., J. 2009. "An Unsupervised Approach to Hindi Word Sense Disambiguation", Proceedings of the First International Conference on Intelligent Human Computer Interaction, p 327--335.

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Singh, S. and Siddiqui, T. J. 2012 "Evaluating effect of context window size, stemming and stop word removal on Hindi word sense disambiguation," Information Retrieval & Knowledge Management (CAMP), International Conference on, Kuala Lumpur, pp. 1--5.

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Singh, S., Siddiqui, T. J. 2013 "A Supervised Algorithm for Hindi Word Sense Disambiguation", International Journal of Systems, Algorithms & Algorithms, Volume 3, Issue ICASE13, ISSN Online: 2277--2677.

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Singh, S. Singh, V. K. and Siddiqui, T. J. 2013 "Hindi Word Sense Disambiguation Using Semantic Relatedness Measure", 7th International Workshop, MIWAI, pp. 247--256.

Digital Library

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Singh, S., T., Siddiqui, J., and Sharma, S. 2014. "Naïve Bayes classifier for Hindi Word Sense Disambiguation", In Proceedings of the Proceedings of the 7th ACM India Computing Conference (COMPUTE'14).

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Sarika and Sharma, D. K. 2015. "A Comparative Analysis of Hindi Word Sense Disambiguation and its Approaches", IEEE International Conference on Computation Communication and Automation 2015 (ICCCA-2015), Galgotia University, India, May.

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Tomar, G.S., Singh, M., Rai, S., Kumar, A., Sanyal, R. and Sanyal, S. 2013. "Probabilistic Latent Semantic Analysis for Unsupervised Word Sense Disambiguation", International Journal of Computer Science Issues, Vol. 10, Issue 5, No. 2, September.

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Cited By

Gujjar VMago NKumari RPatel SChintalapudi NBattineni G(2023)A Literature Survey on Word Sense Disambiguation for the Hindi LanguageInformation10.3390/info1409049514:9(495)Online publication date: 7-Sep-2023
https://doi.org/10.3390/info14090495
Ransing RGulati ASrivastava R(2023)Modified Lesk approach for Word Sense Disambiguation in the Marathi Language2023 IEEE 7th Conference on Information and Communication Technology (CICT)10.1109/CICT59886.2023.10455633(1-4)Online publication date: 15-Dec-2023
https://doi.org/10.1109/CICT59886.2023.10455633
Mishra BJain S(2023)Word Sense Disambiguation from English to Indic Language: Approaches and OpportunitiesSoft Computing and Its Engineering Applications10.1007/978-3-031-27609-5_11(135-146)Online publication date: 8-Mar-2023
https://doi.org/10.1007/978-3-031-27609-5_11
Show More Cited By

Hindi Word Sense Disambiguation Using Lesk Approach on Bigram and Trigram Words
1. Computing methodologies
  1. Artificial intelligence

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AICTC '16: Proceedings of the International Conference on Advances in Information Communication Technology & Computing

August 2016

622 pages

ISBN:9781450342131

DOI:10.1145/2979779

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 12 August 2016

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AICTC '16

AICTC '16: International Conference on Advances in Information Communication Technology & Computing

August 12 - 13, 2016

Bikaner, India

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Cited By

Gujjar VMago NKumari RPatel SChintalapudi NBattineni G(2023)A Literature Survey on Word Sense Disambiguation for the Hindi LanguageInformation10.3390/info1409049514:9(495)Online publication date: 7-Sep-2023
https://doi.org/10.3390/info14090495
Ransing RGulati ASrivastava R(2023)Modified Lesk approach for Word Sense Disambiguation in the Marathi Language2023 IEEE 7th Conference on Information and Communication Technology (CICT)10.1109/CICT59886.2023.10455633(1-4)Online publication date: 15-Dec-2023
https://doi.org/10.1109/CICT59886.2023.10455633
Mishra BJain S(2023)Word Sense Disambiguation from English to Indic Language: Approaches and OpportunitiesSoft Computing and Its Engineering Applications10.1007/978-3-031-27609-5_11(135-146)Online publication date: 8-Mar-2023
https://doi.org/10.1007/978-3-031-27609-5_11
Mishra BJain S(2023)Word Sense Disambiguation for Hindi Language Using Neural NetworkAdvancements in Smart Computing and Information Security10.1007/978-3-031-23092-9_2(14-25)Online publication date: 11-Jan-2023
https://doi.org/10.1007/978-3-031-23092-9_2
Aparitosh Gahankari Palak Garhwal Shubhangi Bagwe Aditya Gupta Prajwala Adkane Sonal Kawalkar (2022)A Review on Methods to Solve Polysemy Problem in WSD Occurring while Processing Marathi TextInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-2463(488-494)Online publication date: 31-Jan-2022
https://doi.org/10.48175/IJARSCT-2463
Jain GLobiyal D(2022)Word Sense Disambiguation using Cooperative Game Theory and Fuzzy Hindi WordNet based on ConceptNetACM Transactions on Asian and Low-Resource Language Information Processing10.1145/350273921:4(1-25)Online publication date: 4-Mar-2022
https://dl.acm.org/doi/10.1145/3502739
Karuppaiah DVincent P(2021)Hybrid approach for semantic similarity calculation between Tamil wordsInternational Journal of Innovative Computing and Applications10.1504/ijica.2021.11360912:1(13-23)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1504/ijica.2021.113609
Shekhar SSharma D(2020)Computational Intelligence for Temporal Expression Retrieval in Code-Mixed Text2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)10.1109/PARC49193.2020.236634(386-390)Online publication date: Feb-2020
https://doi.org/10.1109/PARC49193.2020.236634
Hsu WRiemenschneider SChen CLu C(2020)A New Approach for Natural Language Understanding2020 International Conference on Pervasive Artificial Intelligence (ICPAI)10.1109/ICPAI51961.2020.00035(148-151)Online publication date: Dec-2020
https://doi.org/10.1109/ICPAI51961.2020.00035

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