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Improving the Quality of English-Hindi Name Entity Translation

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 25
Year of Publication: 2014
Authors:
Shruti Mathur
Varun Prakash Saxena
10.5120/16954-7062

Shruti Mathur and Varun Prakash Saxena. Article: Improving the Quality of English-Hindi Name Entity Translation. International Journal of Computer Applications 96(25):48-52, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Shruti Mathur and Varun Prakash Saxena},
	title = {Article: Improving the Quality of English-Hindi Name Entity Translation},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {25},
	pages = {48-52},
	month = {June},
	note = {Full text available}
}

Abstract

Machine Translation is a novel step in overcoming the language barrier. The results of the research in this area has started to show its results with some good machine translators being available. In the context of English-Hindi language pair, due to bad name entity translations, the quality of translation deteriorates. In this paper we have addressed this issue where we show that only a single approach is not effective in dealing with this issue. We need to devise mechanism and address this problem in a multi pronged approach.

References

  • B. Babych, A. Hartley, "Improving Machine Translation Quality with Automatic Named Entity Recognition," Proceedings of the 7th International EAMT workshop on MT and other Language Technology Tools, 1-8, 2003/4/13.
  • Y. Al- Onaizan, K. Knight, "Translating Name Entities Using Monolingual and Bilingual Resources". Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, pp. 400-408, 2002.
  • A. Hassan, H. Fahmy and H. Hassan, "Improving Named Entity Translation by Exploiting Comparable and Parallel Corpora" Preoceedings of AMML07, 2007.
  • L. Jiang, M. Zhou, L. Chein, and C. Niu, "Name Entity Translation with Web Mining and Transliteration", Proceedings of 20th International Joint Conference on Artificail Intelligence, pp. 1629-1634, Morgan Kaufmann, 2007.
  • A. Yeh, A. Morgan, M. Colosimo, and L. Hirchman, "BioCreAtIvE Task 1A: gene mention finding evaluation" BMC Bioinformatics, 2005.
  • N. Joshi and I. Mathur, "Input Scheme for Hindi Using Phonetic Mapping. " In Proceedings of the National Conference on ICT: Theory, Practice and Applications, 2010.
  • N. Joshi, I. Mathur and S. Mathur, "Frequency Based Predictive Input System for Hindi. " In Proceedings of the International Conference and Workshop on Emerging Trends in Technology, ACM, pp 690-693, 2010.
  • D. Bhalla, N. Joshi and I. Mathur, "Rule Based Transliteration Scheme for English to Punjabi. " International Journal of Natural Language Computing, Vol 2, No. 2, pp 67-73, 2013.
  • S. Sharma, N. Bora and M. Halder, "English-Hindi Transliteration Using Statistical Machine Translation in Different Notation. " 2012.
  • R. Moore, "Learning Translations of Name Entity Phrases from Parallel Corpus. " Proceedings of EACL, 2003.
  • M Khapra, P Bhattacharya, A Kumaran, "Compositional Machine Transliteration. " ACM Transactions of Asian Language Information Processing, Vol 9, 2010
  • N. Agrawal and A. Singla, "Using named entity recognition to improve machine translation. " Technical report, Standford University, Natural Language Processing. 2012.
  • J. Ameta, N. Joshi and I. Mathur, "Improving the Quality of Gujarati-Hindi Machine Translation Through Part-of-Speech Tagging and Stemmer Assisted Transliteration", International Journal of Natural Language Computing, Vol. 2, No. 3, pp. 49-54, 2013.
  • D. Bhalla, N. Joshi and I. Mathur, "Imporving the Quality of MT Output Using Novel Name Entity Translation Scheme. " Proceedings of 2013 International Conference on Advances in Computing, Communications and Informatics, 2013.
  • J. R. Finkel, T. Grenger and C. Manning, "Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling. " Proceedings of the 43nd Annual Meeting of the Association for Computational Linguistics (ACL 2005), pp. 363-370, 2005.