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Sony Trenous
Sony Trenous
Amazon
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OpenKiwi: An open source framework for quality estimation
F Kepler, J Trénous, M Treviso, M Vera, AFT Martins
arXiv preprint arXiv:1902.08646, 2019
1442019
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
642019
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing
AV Lopes
arXiv preprint arXiv:1905.13068, 2019
462019
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
92022
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
62021
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
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