3 papers
cs.CL2019
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task
Fabio Kepler, Jonay Trénous, Marcos Treviso +5
We present the contribution of the Unbabel team to the WMT 2019 Shared Task on Quality Estimation. We participated on the word, sentence, and document-level tracks, encompassing 3…
cs.CL2019
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing
António V. Lopes, M. Amin Farajian, Gonçalo M. Correia +2
This paper describes Unbabel's submission to the WMT2019 APE Shared Task for the English-German language pair. Following the recent rise of large, powerful, pre-trained models, we…
cs.CL2019
OpenKiwi: An Open Source Framework for Quality Estimation
Fábio Kepler, Jonay Trénous, Marcos Treviso +2
We introduce OpenKiwi, a PyTorch-based open source framework for translation quality estimation. OpenKiwi supports training and testing of word-level and sentence-level quality est…