| Czeng 1.6: enlarged czech-english parallel corpus with processing tools dockered O Bojar, O Dušek, T Kocmi, J Libovický, M Novák, M Popel, R Sudarikov, ... International Conference on Text, Speech, and Dialogue, 231-238, 2016 | 90 | 2016 |
| CUNI system for the WMT18 multimodal translation task J Helcl, J Libovický, D Variš arXiv preprint arXiv:1811.04697, 2018 | 62 | 2018 |
| CUNI system for WMT17 automatic post-editing task D Varis, O Bojar Proceedings of the Second Conference on Machine Translation, 661-666, 2017 | 13 | 2017 |
| Unsupervised pretraining for neural machine translation using elastic weight consolidation D Variš, O Bojar arXiv preprint arXiv:2010.09403, 2020 | 10 | 2020 |
| Neural monkey: The current state and beyond J Helcl, J Libovický, T Kocmi, T Musil, O Cífka, D Varis, O Bojar Proceedings of the 13th Conference of the Association for Machine …, 2018 | 8 | 2018 |
| European language grid: A joint platform for the european language technology community G Rehm, S Piperidis, K Bontcheva, J Hajic, V Arranz, A Vasiļjevs, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 7 | 2021 |
| Cuni experiments for wmt17 metrics task D Mareček, O Bojar, O Hübsch, R Rosa, D Varis Proceedings of the Second Conference on Machine Translation, 604-611, 2017 | 6 | 2017 |
| Sequence length is a domain: Length-based overfitting in transformer models D Variš, O Bojar arXiv preprint arXiv:2109.07276, 2021 | 4 | 2021 |
| CUNI submission in WMT17: Chimera goes neural R Sudarikov, D Mareček, T Kocmi, D Varis, O Bojar Proceedings of the Second Conference on Machine Translation, 248-256, 2017 | 4 | 2017 |
| End-to-end lexically constrained machine translation for morphologically rich languages J Jon, JP Aires, D Variš, O Bojar arXiv preprint arXiv:2106.12398, 2021 | 3 | 2021 |
| CUNI systems for WMT21: Terminology translation Shared Task J Jon, M Novák, JP Aires, D Variš, O Bojar arXiv preprint arXiv:2109.09350, 2021 | 2 | 2021 |
| Image Captioning with Visual Object Representations Grounded in the Textual Modality D Variš, K Sudoh, S Nakamura arXiv preprint arXiv:2010.09413, 2020 | 2 | 2020 |
| Improving a neural-based tagger for multiword expressions identification D Varis, N Klyueva Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 2 | 2018 |
| Cuni systems for wmt21: Multilingual low-resource translation for indo-european languages shared task J Jon, M Novák, JP Aires, D Variš, O Bojar arXiv preprint arXiv:2109.09354, 2021 | 1 | 2021 |
| CUNI Basque-to-English Submission in IWSLT18 T Kocmi, D Varis, O Bojar Proceedings of the 15th International Conference on Spoken Language …, 2018 | 1 | 2018 |
| D1. 1: Report on Building Translation Systems for Public Health Domain O Bojar, B Haddow, D Mareček, R Sudarikov, A Tamchyna, D Variš | 1 | 2017 |
| Automatic Error Correction of Machine Translation Output D Variš Univerzita Karlova, Matematicko-fyzikální fakulta, 2016 | 1 | 2016 |
| Japonsko-český strojový překlad D Variš Univerzita Karlova, Matematicko-fyzikální fakulta, 2014 | 1 | 2014 |
| Grid Content: Services, Tools and Components (First Release) I Roberts, AG Silva, M Janosik, A Lagzdiņš, N Feldhus, G Rehm, ... | | 2020 |
| D3. 4: Final report on inflection and word formation A Fraser, M Huck, D Marecek, A Ramm, D Variš | | 2018 |
Ondřej BojarCharles University, Faculty of Mathematics and Physics, Institute of Formal and Applied LinguisticsVerified email at ufal.mff.cuni.cz
