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IJSTR >> Volume 9 - Issue 9, September 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Improving Quality Of Translation Using Ensemble Approach

[Full Text]



Deepti Chopra, Nisheeth Joshi



Machine Translation; Source Text Rewriting; Named Entity Translation



Quality improvement of Machine Translation (MT) is one of the open topics of research today. These days, there are many machine translators available online. But, these machine translators lack in the quality of translation when the input sentence is complex and consists of many Named Entities which are not identified correctly. In this paper, we address this problem by means of investigating a new ensemble approach that can help in improving the quality of translation from English to Hindi and Hindi to English. We have developed 6 MT systems that can perform English to Hindi Translation and 6 MT Systems that can perform Hindi to English Translation. We have developed Ensemble MT Systems by combining Statistical Machine Translation (SMT) with Source Text Rewriting and Named Entity Translation. We have compared translation using baseline approach (SMT) with the ensemble approach and have shown that quality of translation improves when we use ensemble approach for English-Hindi and Hindi-English Translation.



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