CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Machine Translation of Natural Language using different Approaches

by Sarita G. Rathod
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 15
Year of Publication: 2014
Authors: Sarita G. Rathod
10.5120/17893-8899

Sarita G. Rathod . Machine Translation of Natural Language using different Approaches. International Journal of Computer Applications. 102, 15 ( September 2014), 26-31. DOI=10.5120/17893-8899

@article{ 10.5120/17893-8899,
author = { Sarita G. Rathod },
title = { Machine Translation of Natural Language using different Approaches },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 15 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number15/17893-8899/ },
doi = { 10.5120/17893-8899 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:12.646518+05:30
%A Sarita G. Rathod
%T Machine Translation of Natural Language using different Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 15
%P 26-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In our work, we integrate a traditional approach of machine translation which translates source language sentence into equivalent target language sentence. We proposed an English (source language) to Sanskrit (target language) machine translator based on Rule based approach and Example based approach. We further compare the performance of these approaches for different category of sentences as like small, large, and extra large. We also develop a GUI for making it user friendly and provide the speech output of the target sentence with the help of speech synthesizer a plug in module.

References
  1. R. M. K. Sinha, A. Jain "AnglaHindi: English to Hindi Machine-Aided Translation System". International Journal of Computer application Vol. 3, No. 3, Oct 2008.
  2. Sitender, Seema Bawa "Survey of Indian Machine Translation Systems". IJCST Vol. 3, Issue 1, Jan. - March 2012 ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print).
  3. Mishara Vimal, Mishara RB. "Study of Example Based English to Sanskrit Machine Translation" department of computer engineering . Institute of technology, Banaras Hindu University, Varanasi India.
  4. Khaled Shaalan "Rule-based Approach in Arabic Natural Language Processing" International Journal on Information and Communication Technologies, Vol. 3, No. 3, June 2010.
  5. Sudip Naskar, Sivaji Bandyopadhyay, "Use of Machine Translation in India: Current Status".
  6. Mr. Sandeep Warhade and Mr. Prakash R. Devale "Design of phrase-based decoder for english-to-sanskrit translation" Journal of Global Research in Computer Science, Vol 3 (1), January 2012, 35-38.
  7. Rajpal Singh, Dr. Gurpreet Singh Josan, "An Approach to Example -Based Machine Translator using Translation Memory", ISSN 2250-2459, Volume 2, Issue 5, May 2012
  8. Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu "BLEU: a Method for Automatic Evaluation of Machine Translation" Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, July 2002, pp. 311-318.
  9. A Study towards Design of an English to Sanskrit Machine Translation System Sanskrit Computational Linguistics: First and Second International Symposia Rocquencourt, France, October 29-31, 2007 Providence, RI, USA, May 15-17, 2008.
  10. Shahnawaz, R. B. Mishra "A Neural Network based Approach for English to Hindi Machine Translation", International Journal of Computer Applications (0975 – 8887) Volume 53– No. 18, September 2012.
  11. "Speech and Language Processing- an introduction to Natural Language Processing" by Daniel Jurafsky and James Martin, reprint 2000.
  12. "Natural Language Processing" by Aksar Bharati, Vineet Chaitanya, Rajeev Sangal. Prentice Hall of India, New Delhi, June 1994.
  13. "A Higher Sanskrit Grammar" by M. R. Kale, Delhi M. Banarassidas Publisher, 1961.
Index Terms

Computer Science
Information Sciences

Keywords

Rule based machine translation Example based machine translation Parser Bilingual Dictionary Formant Synthesizer Machine translation Evaluation parameter.

Powered by PhDFocusTM