Classification of MT-Output Using Hybrid MT-Evaluation Metrics for Post-Editing and Their Comparative Study
Kuldeep Kumar Yogi, Chandra Kumar Jha · Advanced Computational Intelligence An International Journal (ACII) · 2015
Machine translation industry is working well but they have been facing problem in postediting.MT-outputs do not correct and fluent so minor or major changes need for publishing them.Postediting performs manually by linguists, which is expensive and time consuming.So we should select good translation for postediting among all translations.Various MT-evaluation metrics can be used for filter the good translations for postediting.We have shown the use of various MT-evolution metrics for selection of good translation and their comparative study.