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dc.contributor.authorSalm, Khan Md. Anwarus Salam
dc.contributor.authorKhan, Mumit
dc.contributor.authorNishino, Tetsuro
dc.date.accessioned2010-10-25T05:57:57Z
dc.date.available2010-10-25T05:57:57Z
dc.date.copyright2009
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/10361/634
dc.descriptionIncludes bibliographical references (page 4).
dc.description.abstractIn this paper we propose an architecture of English-Bengali Example Based Machine Translation (EBMT) using WordNet. The proposed EBMT system has five steps: 1) Tagging 2) Parsing 3) Prepare the chunks of the sentence using sub-sentential EBMT 4) Using an efficient adapting scheme, match the sentence rule 5) Translate from Source Language (English) to Target Language (Bengali) in the chunk and generate with morphological analysis with the help of WordNet. Using the word senses given by the WordNet we can detect the ambiguity and improve the correctness of translation.en_US
dc.description.statementofresponsibilityKhan Md. Anwarus Salam
dc.description.statementofresponsibilityMumit Khan
dc.description.statementofresponsibilityTetsuro Nishino
dc.format.extent4 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.subjectBangla language processing
dc.subjectLanguage processing
dc.titleExample based English-Bengali machine translation using wordneten_US
dc.typeArticleen_US
dc.contributor.departmentCenter for Research on Bangla Language Processing (CRBLP), BRAC University


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