Bangla To English Machine Translation

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dc.contributor.author Azam Khan, Nazifa
dc.contributor.author Muntaheen, A.S.M.
dc.contributor.author Bhattacharjee, Ankur
dc.date.accessioned 2015-07-12T04:32:46Z
dc.date.available 2015-07-12T04:32:46Z
dc.date.issued 2012-12
dc.identifier.uri http://hdl.handle.net/123456789/168
dc.description en_US
dc.description.abstract Machine 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. en_US
dc.description.sponsorship Department of Computer Science and Engineering, Military Institute of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering, Military Institute of Science and Technology en_US
dc.relation.ispartofseries B.Sc. in Computer Science and Engineering Thesis;
dc.subject Statistical Machine Translation, Corpus Based Approach, Transfer Based Approach, Target Language, Source Language. en_US
dc.title Bangla To English Machine Translation en_US
dc.type Thesis en_US


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