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

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

English to Telugu Rule based Machine Translation System: A Hybrid Approach

by Keerthi Lingam, E. Ramalakshmi, Srujana Inturi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 2
Year of Publication: 2014
Authors: Keerthi Lingam, E. Ramalakshmi, Srujana Inturi
10.5120/17659-8474

Keerthi Lingam, E. Ramalakshmi, Srujana Inturi . English to Telugu Rule based Machine Translation System: A Hybrid Approach. International Journal of Computer Applications. 101, 2 ( September 2014), 19-24. DOI=10.5120/17659-8474

@article{ 10.5120/17659-8474,
author = { Keerthi Lingam, E. Ramalakshmi, Srujana Inturi },
title = { English to Telugu Rule based Machine Translation System: A Hybrid Approach },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 2 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number2/17659-8474/ },
doi = { 10.5120/17659-8474 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:38.469782+05:30
%A Keerthi Lingam
%A E. Ramalakshmi
%A Srujana Inturi
%T English to Telugu Rule based Machine Translation System: A Hybrid Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 2
%P 19-24
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with adaptive rule based machine translation from English to Telugu. This approach is based on rule-based methodologies. If-then methods to select the best rules for target language in translation, Probability based appropriate word selection for a given sentence and rough sets to classify a given sentence are the approaches used in this technique. Set of production rules of English and Telugu, Training set and Dictionary for both the languages are developed for this purpose. User gives and input, which is an English sentence. The given input sentence is then tokenized into individual words. These words are tagged with their respective parts of speech. All other words that are not found in the pre-defined database are tagged using grammatical rules that are formulated. Using these POS tags, the respective word translations are retrieved from the database. These individual words are then concatenated to form a sentence that is the result of user's input.

References
  1. Akshar Bharati, Vineet Chaitanya, Amba P. Kulkarni and Rajeev Sangal, " ANUSAARAKA: Machine Translation in Stages", A Quaterly in Artificial Intelligence, Vol. 10, No. 3, July 1997
  2. Sanjay Kumar Dwivedi and Pramod Premdas Sukhdev, "Machine Translation in Indian Perspective", Journal of Computer Science, june 2010.
  3. Latha R Nair and David Peter S, "MAchien Translation system for Indian Languages", IJCA, Vol 39, No. 12012
  4. Sugata Sanyal and Rajdeep Borgohain, "Machine Translation Systems in India", arXiv, April 2010.
  5. Judith Francisca and Md Mamun Mia, "Adapting Rule Based Machine Translation From English To Bangla", IJCSE, Vol 2. No. 3 Jun-Jul 2011.
  6. Sitender and Seema Bawa, "Survey of Indian Machine Translation Systems," IJCST, Vol 3, Issue 1, Jan-Mar 2012
  7. Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  8. Lewis, M. Paul, Gary F. Simons, and Charles D. Fennig(eds. ). 2014. Ethnolouge: Languages of the world, seventeenth edition, Dallas Texas: Sil International. http://www. ethnologue. com.
  9. Antony, P. J. "Machine Translation Approaches and Survey for Indian Languages. " Computational Linguistics and Chinese Language Processing Vol 18 (2013): 47-78.
Index Terms

Computer Science
Information Sciences

Keywords

Machine Translation Natural Language Processing Rule Based Approach English to Telugu.

Powered by PhDFocusTM