| Findings of the 2019 conference on machine translation (WMT19) L Barrault, O Bojar, MR Costa-Jussa, C Federmann, M Fishel, Y Graham Association for Computational Linguistics (ACL), 2019 | 445 | 2019 |
| Trivial transfer learning for low-resource neural machine translation T Kocmi, O Bojar arXiv preprint arXiv:1809.00357, 2018 | 121 | 2018 |
| 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 | 91 | 2016 |
| Curriculum learning and minibatch bucketing in neural machine translation T Kocmi, O Bojar Recent Advances in Natural Language Processing 2017, 2017 | 88 | 2017 |
| An Exploration of Word Embedding Initialization in Deep-Learning Tasks T Kocmi, O Bojar ICON 2017 : 14th International Conference on Natural Language Processing, 56-64, 2017 | 32 | 2017 |
| LanideNN: Multilingual Language Identification on Character Window T Kocmi, O Bojar Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 30 | 2017 |
| To ship or not to ship: An extensive evaluation of automatic metrics for machine translation T Kocmi, C Federmann, R Grundkiewicz, M Junczys-Dowmunt, ... arXiv preprint arXiv:2107.10821, 2021 | 29 | 2021 |
| Findings of the 2021 conference on machine translation (WMT21) F Akhbardeh, A Arkhangorodsky, M Biesialska, O Bojar, R Chatterjee, ... Proceedings of the Sixth Conference on Machine Translation, 1-88, 2021 | 24 | 2021 |
| Results of the WMT17 Neural MT Training Task O Bojar, J Helcl, T Kocmi, J Libovický, T Musil Proceedings of the Second Conference on Machine Translation, 525-533, 2017 | 21 | 2017 |
| Announcing czeng 2.0 parallel corpus with over 2 gigawords T Kocmi, M Popel, O Bojar arXiv preprint arXiv:2007.03006, 2020 | 17 | 2020 |
| CUNI submission for low-resource languages in WMT news 2019 T Kocmi, O Bojar Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 17 | 2019 |
| Gender coreference and bias evaluation at wmt 2020 T Kocmi, T Limisiewicz, G Stanovsky arXiv preprint arXiv:2010.06018, 2020 | 16 | 2020 |
| SubGram: extending skip-gram word representation with substrings T Kocmi, O Bojar International Conference on Text, Speech, and Dialogue, 182-189, 2016 | 13 | 2016 |
| Exploring benefits of transfer learning in neural machine translation T Kocmi arXiv preprint arXiv:2001.01622, 2020 | 12 | 2020 |
| SumeCzech: large Czech News-based summarization dataset M Straka, N Mediankin, T Kocmi, Z Žabokrtský, V Hudeček, J Hajic Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 12 | 2018 |
| CUNI NMT System for WAT 2017 Translation Tasks T Kocmi, D Variš, O Bojar Proceedings of the 4th Workshop on Asian Translation (WAT2017), 154-159, 2017 | 10 | 2017 |
| Neural Monkey: The Current State and Beyond J Helcl, J Libovický, T Kocmi, T Musil, O Cıfka, D Variš, O Bojar The 13th Conference of The Association for Machine Translation in the …, 2018 | 8 | 2018 |
| THEaiTRE: Artificial intelligence to write a theatre play R Rosa, O Dušek, T Kocmi, D Mareček, T Musil, P Schmidtová, D Jurko, ... arXiv preprint arXiv:2006.14668, 2020 | 7 | 2020 |
| Efficiently reusing old models across languages via transfer learning T Kocmi, O Bojar arXiv preprint arXiv:1909.10955, 2019 | 7* | 2019 |
| Cuni submissions in wmt18 T Kocmi, R Sudarikov, O Bojar Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 6 | 2018 |
Ondřej BojarCharles University, Faculty of Mathematics and Physics, Institute of Formal and Applied LinguisticsVerified email at ufal.mff.cuni.cz
