Bangla To English Machine Translation

dc.contributor.authorAzam Khan, Nazifa
dc.contributor.authorMuntaheen, A.S.M.
dc.contributor.authorBhattacharjee, Ankur
dc.date.accessioned2015-07-12T04:32:46Z
dc.date.available2015-07-12T04:32:46Z
dc.date.issued2012-12
dc.description.abstractMachine Translation (MT) refers to the use of computers for the task of translating automat ically from one language to another. The differences between languages and especially the inherent ambiguity of language make MT a very difficult problem. Traditional approaches to MT have relied on humans supplying linguistic knowledge in the form of rules to transform text in one language to another. Given the vastness of language, this is a highly knowledge intensive task. Statistical MT is a radically different approach that automatically acquires knowledge from large amounts of training data. This knowledge, which is typically in the form of probabilities of various language features, is used to guide the translation process. This report provides an overview of MT techniques, and looks in detail at the basic statisti cal model.
dc.identifier.otherhttps://dspace.mist.ac.bd/server/api/core/items/10861685-4aa1-4404-a570-33cf6cfc2543
dc.identifier.urihttp://hdl.handle.net/123456789/168
dc.language.isoen
dc.publisherDepartment of Computer Science and Engineering, Military Institute of Science and Technology
dc.sourceMIST Digital Archive
dc.subjectStatistical Machine Translation, Corpus Based Approach, Transfer Based Approach, Target Language, Source Language.
dc.titleBangla To English Machine Translation
dc.typeThesis

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