Publication Type : Journal Article
Publisher : Unpublished Ph. D. Thesis submitted at Indian Institute of Technology, Delhi, Citeseer
Source : Unpublished Ph. D. Thesis submitted at Indian Institute of Technology, Delhi, Citeseer (2005)
Url : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.103.4227&rep=rep1&type=pdf
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science, Mathematics
Year : 2005
Abstract : This research focuses on development of Example Based Machine Translation (EBMT) system for English to Hindi. Development of a machine translation (MT) systemtypically demands a large volume of computational resources. For example, rulebased MT systems require extraction of syntactic and semantic knowledge in theform of rules, statistics-based MT systems require huge parallel corpus containing sentences in the source languages and their translations in target language. Requirementof such computational resources is much less in respect of EMBT. This makes development of EBMT systems for English to Hindi translation feasible, where availabilityof large-scale computational resources is still scarce. The primary motivation for this work comes because of the following
Cite this Research Publication : 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 Deepa Gupta, “Contributions to english to hindi machine translation using example-based approach”, Unpublished Ph.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.