Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 12 Jul 2013.
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1 paper.
- 2021Taxonomic survey of Hindi Language NLP systemscited by 3
- 2021Taxonomic survey of Hindi Language NLP systems30 Jan 2021