This research focuses on development of Example Based Machine Translation (EBMT) system for English to Hindi. Development of a machine translation (MT) system
typically demands a large volume of computational resources. For example, rulebased MT systems require extraction of syntactic and semantic knowledge in the
form of rules, statistics-based MT systems require huge parallel corpus containing sentences in the source languages and their translations in target language. Requirement
of such computational resources is much less in respect of EMBT. This makes development of EBMT systems for English to Hindi translation feasible, where availability
of large-scale computational resources is still scarce. The primary motivation for this work comes because of the following
Dr. Deepa Gupta, “Contributions to english to hindi machine translation using example-based approach”, Unpublished Ph. D. Thesis submitted at Indian Institute of Technology, Delhi, 2005.