Most Read Research Articles


Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79
Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

Assamese to English Statistical Machine Translation Integrated with a Transliteration Module

Print
PDF
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 5
Year of Publication: 2014
Authors:
Pranjal Das
Kalyanee K. Baruah
10.5120/17522-8084

Pranjal Das and Kalyanee K Baruah. Article: Assamese to English Statistical Machine Translation Integrated with a Transliteration Module. International Journal of Computer Applications 100(5):20-24, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Pranjal Das and Kalyanee K. Baruah},
	title = {Article: Assamese to English Statistical Machine Translation Integrated with a Transliteration Module},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {100},
	number = {5},
	pages = {20-24},
	month = {August},
	note = {Full text available}
}

Abstract

In this paper, it is described how an Assamese sentence is translated to English using statistical machine translation. Statistical Machine Translation is the paradigm where translations from source to target language are based on statistical models. Moses is used as a platform for Statistical Machine Translation. GIZA++ is also used for word-alignment and IRSTLM for language model training. A Transliteration model is also integrated into the system to deal with out of vocabulary (OOV) words.

References

  • Dr Shikhar Kr. Sarma et al, "Foundation and Structure of Developing an Assamese Wordnet", In Proceedings of5th International Conference of the Global WordNet Association.
  • F. J. Och and H. Ney, "Improved statistical alignment models", In the Proceedings of ACL, 2000.
  • Marian Olteanu et al, "Phramer: Open Source Statistical Phrase-Based Translator", In the Proceedings of the Workshop of Statistical Machine Translation, June 2006, pp. 146-149.
  • Peter F. Brown et al. , "A Statistical Approach to Machine Translation" Computational Linguistics Volume 16, Number 2, June 1990, pp. 79-85.
  • Philipp Koehn et al, "Statistical Phrase-Based Translation", In the Proceedings of HLT-NAALC, May-June 2003, pp. 48-54.
  • Philipp Koehn, "Pharaoh: A beam search decoder for phrase based statistical machine translation models", In the proceedings of AMTA, 2004.
  • Philipp Koehn et al, "Moses: Open Source Toolkit for Statistical Machine Translation", In the Proceedings of the ACL, June 2007, pp. 177-180.
  • Sanjay Kumar Dwivedi and Pramod Premdas Sukhadeve, "Machine Translation System in Indian Perspectives", Journal of Computer Science, Volume 6, Issue 10, pp. 1111-1116.
  • Md. Zahurul Islam, "English to Bangla Statistical Machine Translation", Master Thesis, Universitat des Saarlendes, August 2009.
  • Philipp Koehn, "Noun Phrase Translation", PhD Thesis, University of Southern California, 1993.
  • "Machine Translation", Available: http://en. wikipedia. org/wiki/Machine_translation.
  • "PSMT", Available: http://psmt. sourceforge. net/
  • Statistical Machine Translation System User Manual and Code Guide", Available: http://www. statmt. org//moses/manual/manual. pdf.
  • "The EGYPT Statistical Machine Translation Toolkit", Available: http://old-site. clsp. jhu. edu/ws99/projects/mt/toolkit/.