QuEst — Design, Implementation and Extensions of a Framework for Machine Translation Quality Estimation

Abstract

In this paper we present QE, an open source framework for machine translation qual-ity estimation. The framework includes a feature extraction component and a machine learn-ing component. We describe the architecture of the system and its use, focusing on the fea-ture extraction component and on how to add new feature extractors. We also include exper-iments with features and learning algorithms available in the framework using the dataset of the WMT13 Quality Estimation shared task. 1