The english language to Bangla Transilation

 English to Bangla Transilation Essay

Self-employed Study Record

Improving Example Based English language to French Machine Translation using WordNet Supervisor Name: Dr . Mumit Khan

Student Name: Khan Md. Anwarus Salam College student ID: 07141002

Email: [email protected] com January 2009

Self-employed Study Report: Improving Case in point Based English language to French Machine Translation Using WordNet

DECLARATION

We hereby declare that this Independent Study is dependent on the effects found without any help. Materials of work found by other researcher are pointed out by reference point. This Impartial Study, nor in whole nor in part, have been previously submitted for any level.

Signature of Supervisor

Personal unsecured of Publisher

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3rd party Study Report: Improving Case Based British to Bengali Machine Translation Using WordNet

ACKNOWLEDGMENTS

I must thank especially Dr . Mumit Khan over viewing my own Independent Research work to completion. We also appreciate all affiliates of Middle for Research on Bangla Language Finalizing for supporting me in every single step.

a couple of

Independent Research Report: Enhancing Example Based English to Bengali Machine Translation Applying WordNet

1 . ABSTRACT

The aim of this analysis topic is to develop effective machine translation system intended for English to Bengali vocabulary by increasing my Thesis work " Example Structured English to Bengali Machine Translation”. As a result of relevance of this work I kept the most of the text messages of my thesis. To produce an efficient machine translation method is very important however it is really expensive as it takes a huge amount of your energy and assets. In all 'languages' there are many words and phrases that may include multiple symbolism and also a lot of sentence may possibly have multiple grammar structure to express similar meaning, this is the challenge to perform the right semantic analysis. But it is very important to possess a machine translation system that may compute all possible results in sensible time and capable to choose the best choice. We can considerably improve the performance of British to French Example Structured Machine Translation using WordNet. For example the ‘have' verb has more than five different significant uses during English to Bengali translation. Using the phrase senses provided by WordNet we are able to dramatically increase the performance of Example Based Machine Translation (EBMT) Depending on various attributes of words and phrases. The proposed EBMT system has five steps: 1) Tagging 2) Parsing 3) Prepare the chunks of the sentence applying sub-sentential EBMT 4) Using an efficient establishing scheme match the word rule 5) Translate via Source Dialect (English) to Language (Bengali) in the chunk and make with morphological analysis by using WordNet.

Keywords: Machine Translation, WordNet, English language to Bengali, EBMT, Case Based, Adaptation

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Impartial Study Record: Improving Model Based English language to French Machine Translation Using WordNet

TABLE OF CONTENTS

Webpage TITLE……………........................................................................................... …0 DECLARATION…......................................................................................... … 1 ACKNOWLEDGEMENTS................................................................................ 2 ABSTRACT………........................................................................................... TABLE OF CONTENTS........................................................................... ….... 3 some

CHAPTER installment payments on your INTRODUCTION ……………………………………………………5 CHAPTER several. BACKGROUND three or more. 1 What is Machine Translation?............................................................. 6 3. 2 Years and Types of Equipment Translation………....................... 6th 3. several Why Example-based Machine Translation?...................................... 11 a few. 4 Issues of Example-based Machine Translation …....................... 16 3. your five Initial Requirement of EBMT……………………….. …......................... 14 a few. 6 Ontology……………………….. …......................................................... 15...


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