Independent study Report : Improving example based English to Bengali machine translation using WordNet

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2009.

Библиографические подробности
Главный автор: Salam, Khan Md. Anwarus
Другие авторы: Khan, Mumit
Формат: Диссертация
Язык:English
Опубликовано: BRAC University 2010
Предметы:
Online-ссылка:http://hdl.handle.net/10361/677
id 10361-677
record_format dspace
spelling 10361-6772022-01-26T10:19:56Z Independent study Report : Improving example based English to Bengali machine translation using WordNet Salam, Khan Md. Anwarus Khan, Mumit Department of Computer Science and Engineering, BRAC University B. Computer Science and Engineering Machine translation WordNet EBMT Example Based Adaptation Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2009. Cataloged from PDF version of thesis report. Includes bibliographical references (page 32). The goal of this research topic is to develop efficient machine translation system for English to Bengali language by improving my Thesis work “Example Based English to Bengali Machine Translation”. Due to relevance of this work I kept the most of the texts of my thesis. To develop an efficient machine translation system is very important but it is really expensive as it requires a huge amount of time and resources. In all languages there are many words that may have multiple meanings and also some sentence may have multiple grammar structure to express the same meaning, it is a great challenge to do the right semantic analysis. But it is very important to have a machine translation system which can compute all possible outputs in reasonable time and able to choose the best option. We can dramatically improve the performance of English to Bengali Example Based Machine Translation using WordNet. For example the ‘have’ verb has more than ten different meaningful uses during English to Bengali translation. Using the word senses given by WordNet we can dramatically improve the performance of Example Based Machine Translation (EBMT) Depending on various characteristics of words. 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. Khan Md. Anwarus Salam 2010-12-09T03:54:19Z 2010-12-09T03:54:19Z 2009 2009-01 Thesis ID 07141002 http://hdl.handle.net/10361/677 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 32 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Machine translation
WordNet
EBMT
Example Based
Adaptation
Computer science and engineering
spellingShingle Machine translation
WordNet
EBMT
Example Based
Adaptation
Computer science and engineering
Salam, Khan Md. Anwarus
Independent study Report : Improving example based English to Bengali machine translation using WordNet
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2009.
author2 Khan, Mumit
author_facet Khan, Mumit
Salam, Khan Md. Anwarus
format Thesis
author Salam, Khan Md. Anwarus
author_sort Salam, Khan Md. Anwarus
title Independent study Report : Improving example based English to Bengali machine translation using WordNet
title_short Independent study Report : Improving example based English to Bengali machine translation using WordNet
title_full Independent study Report : Improving example based English to Bengali machine translation using WordNet
title_fullStr Independent study Report : Improving example based English to Bengali machine translation using WordNet
title_full_unstemmed Independent study Report : Improving example based English to Bengali machine translation using WordNet
title_sort independent study report : improving example based english to bengali machine translation using wordnet
publisher BRAC University
publishDate 2010
url http://hdl.handle.net/10361/677
work_keys_str_mv AT salamkhanmdanwarus independentstudyreportimprovingexamplebasedenglishtobengalimachinetranslationusingwordnet
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