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Paper detail

Quality Estimation Of Machine Translation Outputs Through Stemming

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.

preprint2014arXivOpen access
Pooja GuptaNisheeth JoshiIti Mathur
Computation and Language
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Pooja GuptaNisheeth JoshiIti Mathur

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