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IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task

2020-11-01WMT (EMNLP) 2020Unverified0· sign in to hype

João Moura, Miguel Vera, Daan van Stigt, Fabio Kepler, André F. T. Martins

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Abstract

We present the joint contribution of IST and Unbabel to the WMT 2020 Shared Task on Quality Estimation. Our team participated on all tracks (Direct Assessment, Post-Editing Effort, Document-Level), encompassing a total of 14 submissions. Our submitted systems were developed by extending the OpenKiwi framework to a transformer-based predictor-estimator architecture, and to cope with glass-box, uncertainty-based features coming from neural machine translation systems.

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