A Pure EBMT Approach for English to Hindi Sentence Translation System

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Ruchika A. Sinhal 1,* Kapil O. Gupta 1

1. RCOEM, Department of CSE, Nagpur, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2014.07.01

Received: 23 Apr. 2014 / Revised: 10 May 2014 / Accepted: 12 Jun. 2014 / Published: 8 Jul. 2014

Index Terms

Example Based Machine Translation, Parallel Corpus, Word Matching, Data Dictionary, Matrix.


The paper focuses on Example Based Machine Translation (EBMT) system that translates sentences from English to Hindi. It uses the parallel corpus for translating sentences. Development of a machine translation (MT) system typically demands a large volume of computational resources. Requirement of computational resources (for example, rules) is much less in respect of EBMT. This makes development of EBMT systems for English to Hindi translation feasible, where availability of large-scale computational resources is still scarce. Example based machine translation relies on the database for its translation. The frequency of word occurrence is important for translation in EBMT in the following research.

Cite This Paper

Ruchika A. Sinhal, Kapil O. Gupta, "A Pure EBMT Approach for English to Hindi Sentence Translation System", International Journal of Modern Education and Computer Science (IJMECS), vol.6, no.7, pp.1-8, 2014. DOI:10.5815/ijmecs.2014.07.01


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