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arXiv · 1407.2694

Quality Estimation Of Machine Translation Outputs Through Stemming

Pooja Gupta·Nisheeth Joshi·Iti Mathur
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Abstract

Machine Translation is the challenging problem for Indian languages. Every day we can see some machine translators being developed, but getting a high quality automatic translation is still a very distant dream . The correct translated sentence for Hindi language is rarely found. In this paper, we are emphasizing on English-Hindi language pair, so in order to preserve the correct MT output we present a ranking system, which employs some machine learning techniques and morphological features. In ranking no human intervention is required. We have also validated our results by comparing it with human ranking.

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Pooja Gupta, Nisheeth Joshi, Iti Mathur. 2014-07-10. Quality Estimation Of Machine Translation Outputs Through Stemming. https://arxiv.org/abs/1407.2694

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