Quality Estimation Of Machine Translation Outputs Through Stemming [article]

Pooja Gupta, Nisheeth Joshi, Iti Mathur
2014 arXiv   pre-print
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
more » ... ranking no human intervention is required. We have also validated our results by comparing it with human ranking.
arXiv:1407.2694v1 fatcat:ukog2eg3w5a4pkt22kd3gyipoe