DCU-Symantec at the WMT 2013 Quality Estimation Shared Task
Raphaël Rubino, Joachim Wagner, Jennifer Foster, Johann Roturier, Rasoul Kaljahi, Fred Hollowood · Arrow@dit (Dublin Institute of Technology) · 2013
We describe the two systems submit-ted by the DCU-Symantec team to Task 1.1. of the WMT 2013 Shared Task on Quality Estimation for Machine Transla-tion. Task 1.1 involve estimating post-editing effort for English-Spanish trans-lation pairs in the news domain. The two systems use a wide variety of fea-tures, of which the most effective are the word-alignment, n-gram frequency, lan-guage model, POS-tag-based and pseudo-references ones. Both systems perform at a similarly high level in the two tasks of scoring and ranking translations, although there is some evidence that the systems are over-fitting to the training data.