Quality Estimation of English-Hindi Machine Translation Systems
Nisheeth Joshi, Iti Mathur, Hemant Darbari, Ajai Kumar · 2016
Quality Estimation is a new research area in natural language processing where machine learning techniques are used to estimate the quality of machine translation outputs. In this paper we have discussed our experience of performing quality estimation for English-Hindi language pair. We have shown the use of some seventeen language independent features and then added some linguistic features to the feature set and analyzed the performance of the system by training two different classifiers on distinct sets. The results of these classifiers are compared with the results of human evaluators. Moreover we have also compared the results of these classifiers with some of the popular evaluation metrics.