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Reseach Article

A Hybrid Approach to English to Malayalam Machine Translation

by Nithya B, Shibily Joseph
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 8
Year of Publication: 2013
Authors: Nithya B, Shibily Joseph
10.5120/14031-1816

Nithya B, Shibily Joseph . A Hybrid Approach to English to Malayalam Machine Translation. International Journal of Computer Applications. 81, 8 ( November 2013), 11-15. DOI=10.5120/14031-1816

@article{ 10.5120/14031-1816,
author = { Nithya B, Shibily Joseph },
title = { A Hybrid Approach to English to Malayalam Machine Translation },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 8 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number8/14031-1816/ },
doi = { 10.5120/14031-1816 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:32.454075+05:30
%A Nithya B
%A Shibily Joseph
%T A Hybrid Approach to English to Malayalam Machine Translation
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 8
%P 11-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Machine translation is the process of translating text from one natural language to other using computers. The process requires extreme intelligence and experience like a human being that a machine usually lacks. Availability of machine translators for translation from English to Dravidian language, Malayalam is on the low. A few corpus-based and non-corpus based approaches have been tried in performing English to Malayalam translation. In this work a hybrid approach to perform English to Malayalam translation is proposed. This hybrid approach extends the baseline statistical machine translator with a translation memory. A statistical machine translator performs translation by applying machine learning techniques on the corpus. The translation memory caches the recently performed translations in memory and eliminates the need for performing redundant translations. The system is implemented and evaluated using BLEU score and precision measure and the hybrid approach is found to improve the performance of the translator.

References
  1. Dan Jurafsky, James H Martin, Andrew Kehler, Keith Vander Linden, and Nigel Ward. Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition, volume 2. MIT Press, 2000.
  2. Remya Rajan, Remya Sivan, Remya Ravindran, and K. P Soman. Rule based machine translation from english to malayalam. In Conference Proceedings on International Conference on Advances in Computing, Control, and Telecommunication Technologies, pages 439–441, 2009.
  3. Mary Priya Sebastian, G Santhosh Kumar, et al. English to malayalam translation: a statistical approach. In Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, page 64. ACM, 2010.
  4. P Unnikrishnan, PJ Antony, and KP Soman. A novel approach for english to south dravidian language statistical machine translation system. International Journal on Computer Science and Engineering (IJCSE), 2(08):2749–2759, 2010.
  5. Nishtha Jaiswal, Renu Balyan, and Anuradha Sharma. A step towards human-machine unification using translation memory and machine translation system. In International Conference on Languages, Literature and Linguistics, pages 64–68. 2011.
  6. Philipp Koehn and Hieu Hoang. Moses. Statistical Machine Translation System, User Manual and Code Guide, 2010.
  7. Ananthakrishnan Ramanathan. Statistical machine translation. Ph. D Seminar Report, 2008.
  8. F. J. Och and H. Ney. Improved statistical alignment models. pages 440–447, Hongkong, China, October 2000.
  9. Marcello Federico, Nicola Bertoldi, and Mauro Cettolo, Irstlm: an open source toolkit for handling large scale language models. In Interspeech, pages 1618–1621, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Hybrid Machine Translation Statistical Machine Translation Translation Memory Corpus English-Malayalam Translation