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Reseach Article

A Hybrid Approach to English to Malayalam Machine Translation

by Nithya B, Shibily Joseph
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 8
Year of Publication: 2013
Authors: Nithya B, Shibily Joseph
10.5120/14031-1816

Nithya B, Shibily Joseph . A Hybrid Approach to English to Malayalam Machine Translation. International Journal of Computer Applications. 81, 8 ( November 2013), 11-15. DOI=10.5120/14031-1816

@article{ 10.5120/14031-1816,
author = { Nithya B, Shibily Joseph },
title = { A Hybrid Approach to English to Malayalam Machine Translation },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 8 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number8/14031-1816/ },
doi = { 10.5120/14031-1816 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:32.454075+05:30
%A Nithya B
%A Shibily Joseph
%T A Hybrid Approach to English to Malayalam Machine Translation
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 8
%P 11-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Machine translation is the process of translating text from one natural language to other using computers. The process requires extreme intelligence and experience like a human being that a machine usually lacks. Availability of machine translators for translation from English to Dravidian language, Malayalam is on the low. A few corpus-based and non-corpus based approaches have been tried in performing English to Malayalam translation. In this work a hybrid approach to perform English to Malayalam translation is proposed. This hybrid approach extends the baseline statistical machine translator with a translation memory. A statistical machine translator performs translation by applying machine learning techniques on the corpus. The translation memory caches the recently performed translations in memory and eliminates the need for performing redundant translations. The system is implemented and evaluated using BLEU score and precision measure and the hybrid approach is found to improve the performance of the translator.

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Index Terms

Computer Science
Information Sciences

Keywords

Hybrid Machine Translation Statistical Machine Translation Translation Memory Corpus English-Malayalam Translation