creators_name: Ameta, Juhi
creators_name: Joshi, Nisheeth
creators_name: Mathur, Iti
type: journalp
datestamp: 2013-11-18 21:01:54
lastmod: 2013-11-18 21:01:54
metadata_visibility: show
title: Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration
ispublished: pub
subjects: comp-sci-lang
subjects: ling-comput
full_text_status: public
keywords: part-of-speech, stemming, tagging, transliteration
abstract: Machine Translation for Indian languages is an emerging research area. Transliteration is one such module that we design while designing a translation system. Transliteration means mapping of source language text into the target language. Simple mapping decreases the efficiency of overall translation system. We propose the use of stemming and part-of-speech tagging for transliteration. The effectiveness of translation can be improved if we use part-of-speech tagging and stemming assisted transliteration.We have shown that much of the content in Gujarati gets transliterated while being processed for translation to Hindi language.
date: 2013-06
date_type: published
publication: International Journal on Natural Language Computing
volume: 2
number: 3
pagerange: 49-54
refereed: TRUE
citation:   Ameta, Juhi and Joshi, Nisheeth and Mathur, Iti  (2013) Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration.  [Journal (Paginated)]     
document_url: http://cogprints.org/9068/1/2313ijnlc05.pdf