Bangla To English Machine Translation

We are thankful to Almighty Allah for his blessings for the successful completion of our thesis. Our heartiest gratitude, profound indebtedness and deep respect go to our supervi sor Dr. Mohammad Nurul Huda, Associate Professor and MSCSE Coordinator, Dept. of CSE, (United International University...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Azam Khan, Nazifa, Muntaheen, A.S.M., Bhattacharjee, Ankur
التنسيق: أطروحة
اللغة:الإنجليزية
منشور في: Department of Computer Science and Engineering, Military Institute of Science and Technology 2015
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/123456789/168
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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author Azam Khan, Nazifa
Muntaheen, A.S.M.
Bhattacharjee, Ankur
author_browse Azam Khan, Nazifa
Bhattacharjee, Ankur
Muntaheen, A.S.M.
author_facet Azam Khan, Nazifa
Muntaheen, A.S.M.
Bhattacharjee, Ankur
author_sort Azam Khan, Nazifa
collection DSpace
description We are thankful to Almighty Allah for his blessings for the successful completion of our thesis. Our heartiest gratitude, profound indebtedness and deep respect go to our supervi sor Dr. Mohammad Nurul Huda, Associate Professor and MSCSE Coordinator, Dept. of CSE, (United International University), UIU Bhaban, House-80, Road-8/A, Satmasjid Road, Dhanmondi, Dhaka-1209, Bangladesh, for his constant supervision, affectionate guidance and great encouragement and motivation. His keen interest on the topic and valuable advices throughout the study was of great help in completing thesis. We are especially grateful to the Department of Computer Science and Engineering (CSE) of Military Institute of Science and Technology (MIST) for providing their all out support during the thesis work. Finally, we would like to thank our families and our course mates for their appreciable assistance, patience and suggestions during the course of our thesis.
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spelling oai:localhost:123456789-1682015-08-04T08:22:43Z Bangla To English Machine Translation Azam Khan, Nazifa Muntaheen, A.S.M. Bhattacharjee, Ankur Statistical Machine Translation, Corpus Based Approach, Transfer Based Approach, Target Language, Source Language. We are thankful to Almighty Allah for his blessings for the successful completion of our thesis. Our heartiest gratitude, profound indebtedness and deep respect go to our supervi sor Dr. Mohammad Nurul Huda, Associate Professor and MSCSE Coordinator, Dept. of CSE, (United International University), UIU Bhaban, House-80, Road-8/A, Satmasjid Road, Dhanmondi, Dhaka-1209, Bangladesh, for his constant supervision, affectionate guidance and great encouragement and motivation. His keen interest on the topic and valuable advices throughout the study was of great help in completing thesis. We are especially grateful to the Department of Computer Science and Engineering (CSE) of Military Institute of Science and Technology (MIST) for providing their all out support during the thesis work. Finally, we would like to thank our families and our course mates for their appreciable assistance, patience and suggestions during the course of our thesis. 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. Department of Computer Science and Engineering, Military Institute of Science and Technology 2015-07-12T04:32:46Z 2015-07-12T04:32:46Z 2012-12 Thesis http://hdl.handle.net/123456789/168 en B.Sc. in Computer Science and Engineering Thesis; application/pdf Department of Computer Science and Engineering, Military Institute of Science and Technology
spellingShingle Statistical Machine Translation, Corpus Based Approach, Transfer Based Approach, Target Language, Source Language.
Azam Khan, Nazifa
Muntaheen, A.S.M.
Bhattacharjee, Ankur
Bangla To English Machine Translation
title Bangla To English Machine Translation
title_full Bangla To English Machine Translation
title_fullStr Bangla To English Machine Translation
title_full_unstemmed Bangla To English Machine Translation
title_short Bangla To English Machine Translation
title_sort bangla to english machine translation
topic Statistical Machine Translation, Corpus Based Approach, Transfer Based Approach, Target Language, Source Language.
url http://hdl.handle.net/123456789/168
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AT muntaheenasm banglatoenglishmachinetranslation
AT bhattacharjeeankur banglatoenglishmachinetranslation