Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration

نویسندگان

  • Juhi Ameta
  • Nisheeth Joshi
  • Iti Mathur
چکیده

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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عنوان ژورنال:
  • CoRR

دوره abs/1307.3310  شماره 

صفحات  -

تاریخ انتشار 2013