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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

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

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 101 - Number 2
Year of Publication: 2014
Authors:
Keerthi Lingam
E. Ramalakshmi
Srujana Inturi
10.5120/17659-8474

Keerthi Lingam, E Ramalakshmi and Srujana Inturi. Article: English to Telugu Rule based Machine Translation System: A Hybrid Approach. International Journal of Computer Applications 101(2):19-24, September 2014. Full text available. BibTeX

@article{key:article,
	author = {Keerthi Lingam and E. Ramalakshmi and Srujana Inturi},
	title = {Article: English to Telugu Rule based Machine Translation System: A Hybrid Approach},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {101},
	number = {2},
	pages = {19-24},
	month = {September},
	note = {Full text available}
}

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.

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