OpenKiwi: An open source framework for quality estimation F Kepler, J Trénous, M Treviso, M Vera, AFT Martins arXiv preprint arXiv:1902.08646, 2019 | 136 | 2019 |
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task F Kepler, J Trénous, M Treviso, M Vera, A Góis, MA Farajian, AV Lopes, ... arXiv preprint arXiv:1907.10352, 2019 | 61 | 2019 |
Unbabel's submission to the WMT2019 APE shared task: BERT-based encoder-decoder for automatic post-editing AV Lopes, MA Farajian, GM Correia, J Trénous, AFT Martins arXiv preprint arXiv:1905.13068, 2019 | 46 | 2019 |
The devil is in the details: on the pitfalls of vocabulary selection in neural machine translation T Domhan, E Hasler, K Tran, S Trenous, B Byrne, F Hieber arXiv preprint arXiv:2205.06618, 2022 | 7 | 2022 |
Improving the quality trade-off for neural machine translation multi-domain adaptation E Hasler, T Domhan, J Trenous, KM Tran, B Byrne, F Hieber Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 6 | 2021 |
A Preference-driven Paradigm for Enhanced Translation with Large Language Models D Zhu, S Trenous, X Shen, D Klakow, B Byrne, E Hasler arXiv preprint arXiv:2404.11288, 2024 | | 2024 |
Trained MT metrics learn to cope with machine-translated references J Vamvas, T Domhan, S Trenous, R Sennrich, E Hasler Proceedings of the Eighth Conference on Machine Translation, 983-995, 2023 | | 2023 |