The UU Submission to the Machine Translation Quality Estimation Task
Oscar Sagemo, Sara Stymne · 2016
This paper outlines the UU-SVM system for Task 1 of the WMT16 Shared Task in Quality Estimation.Our system uses Support Vector Machine Regression to investigate the impact of a series of features aiming to convey translation quality.We propose novel features measuring reordering and noun translation errors.We show that we can outperform the baseline when we combine it with a subset of our new features.