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

Abstract

In this paper we present QE, an open source framework for machine translation quality estimation. The framework includes a feature extraction component and a machine learning component. We describe the architecture of the system and its use, focusing on the feature extraction component and on how to add new feature extractors. We also include experiments… (More)

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