@misc{cogprints9068,
          volume = {2},
          number = {3},
           month = {June},
          author = {Juhi Ameta and Nisheeth Joshi and Iti Mathur},
           title = {Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration},
         journal = {International Journal on Natural Language Computing},
           pages = {49--54},
            year = {2013},
        keywords = {part-of-speech, stemming, tagging, transliteration},
             url = {http://cogprints.org/9068/},
        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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