International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

A Survey of Anaphora Resolution Approaches for Different Indian Languages

Author : Harjinder Kaur ¹ Kamaldeep Kaur ²

Date of Publication :7th June 2016

Abstract: Anaphora Resolution is a key problem in the field of natural language processing. It is the problem of identifying the referents in the discourse. Pronominal anaphora resolution is a subpart of anaphora resolution where pronouns are referred to noun antecedents. This paper describes the research done in the development of anaphora resolution systems for various Indian Languages.The process of anaphora resolution can become increasingly complex when we encounter complex sentences. The aim of study is to resolve the ambiguity from complex sentences using semantic and pragmatic knowledge.The problem tackled by many Indian languages is no capitalization, lack of standardization, requirement of Unicode based tools. It can be concluded that various approaches are used to resolve anaphors for different Indian Languages.

Reference :

1. D. S. Yadav, K. Dutta, P. Singh, and P. Chandel, “Anaphora resolution for indian languages: The state of the art.”
2. A. J. Komal Mehla and Karambir, “Event anaphora resolution in natural language processing for hindi text,” International Journal of Innovative Science, Engineering and Technology, 2015
3. P. Lakhmani and S. Singh, “Anaphora resolution in hindi language,” International Journal of Information and Computation Technology. 2013.
4. T. L. Pal, K. Dutta, and P. Singh, “Anaphora resolution in hindi: Issues and challenges,” International Journal of Computer Applications, vol. 42, no. 18, 2012.
5. K. P. Kamune and A. Agrawal, “Hybrid approach to pronominal anaphora resolution in english newspaper text,” International Journal of Intelligent Systems and Applications (IJISA), vol. 7, no. 2, p. 56, 2015.
6. S. Lappin and H. J. Leass, “An algorithm for pronominal anaphora resolution,” Computational linguistics, vol. 20, no. 4, pp. 535–561, 1994.
7. D. P. M. Smita Singh, Priya Lakhmani and D. S. Morwal, “Analysis of anaphora resolution system for english language,” International Journal on Information Theory, 2014.
8. S. L. Devi, R. V. S. Ram, and P. R. Rao, “A generic anaphora resolution engine for indian languages.” in COLING, 2014, pp. 1824–1833.
9. T. Liang and D.-S. Wu, “Automatic pronominal anaphora resolution in english texts.” in ROCLING, 2003.
10. S. S. Priya Lakhmani and D. P. Mathur, “Gazetteer method for resolving pronominal anaphora in hindi language,” International Journal of Advances in Computer Science and Technology, 2014
11. D. P. M. Smita Singh, Priya Lakhmani and D. S. Morwal, “Comparative performance analysis of two anaphora resolution systems,” 2014.
12. D. C. Mohan and M. Sadanandam, “Telugu pronominal anaphora resolution.”
13. K. Arul Deepa and C. Deisy, “Anaphora resolution in tamil through decision tree learning-challenges and tackles,” Int J Adv Engg Tech/Vol. VII/Issue I/Jan.-March, vol. 533, p. 538, 2016.
14. P. Dakwale, V. Mujadia, and D. M. Sharma, “A hybrid approach for anaphora resolution in hindi.” in IJCNLP, 2013, pp. 977–981.
15. R. Ram and S. L. Devi, “Pronominal resolution in tamil using tree crfs,” in Asian Language Processing (IALP), 2013 International Conference on. IEEE, 2013, pp. 197– 200.
16. K. Dutta, N. Prakash, and S. Kaushik, “Resolving pronominal anaphora in hindi using hobbs algorithm,” Web Journal of Formal Computation and Cognitive Linguistics, vol. 1, no. 10, pp. 5607–5607, 2008
17. P. Singh and K. Dutta, “Sensitivity analysis of feature set employed for anaphora resolution,” International Journal of Computer Applications, vol. 128, no. 14, pp. 10–14, 2015.
18. U. Kumar Sikdar, A. Ekbal, S. Saha, O. Uryupina, and M. Poesio, “Anaphora resolution for bengali: An experiment with domain adaptation,” 2013.
19. L. Sobha, “Anaphora resolution using named entity and ontology,” in Proceedings of the Second Workshop on Anaphora Resolution (WAR II), Ed Christer Johansson, NEALT Proceedings Series, vol. 2, 2008, pp. 91–96.
20. G. N. Jha, L. Sobha, D. Mishra, S. Singh, and P. Pralayankar, “Anaphors in sanskrit,” in Proceedings of the Second Workshop on Anaphora Resolution, vol. 2, 2008
21. A. J. Komal Mehla and Karambir, “A machine learning approach to resolve event anaphora,” International Journal of Scientific Engineering and Applied Science.