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

arXiv: https://arxiv.org/abs/1307.3310 · HTML: https://mlsanity.com/paper/1307.3310/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jul 2013.

## Built on by (most cited first, 1 of 1)

- [Taxonomic survey of Hindi Language NLP systems](https://mlsanity.com/paper/2102.00214/) (2021)

## 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.