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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.
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creators_name:
  - family: Ameta
    given: Juhi
    honourific: ''
    lineage: ''
  - family: Joshi
    given: Nisheeth
    honourific: ''
    lineage: ''
  - family: Mathur
    given: Iti
    honourific: ''
    lineage: ''
date: 2013-06
date_type: published
datestamp: 2013-11-18 21:01:54
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dir: disk0/00/00/90/68
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eprint_status: archive
eprintid: 9068
fileinfo: /style/images/fileicons/application_pdf.png;/9068/1/2313ijnlc05.pdf
full_text_status: public
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keywords: 'part-of-speech, stemming, tagging, transliteration'
lastmod: 2013-11-18 21:01:54
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metadata_visibility: show
note: ~
number: 3
pagerange: 49-54
pubdom: TRUE
publication: International Journal on Natural Language Computing
publisher: ~
refereed: TRUE
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relation_type: []
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reportno: ~
rev_number: 9
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status_changed: 2013-11-18 21:01:54
subjects:
  - comp-sci-lang
  - ling-comput
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title: Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration
type: journalp
userid: 21210
volume: 2
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