| Findings of the 2019 conference on machine translation (WMT19) L Barrault, O Bojar, MR Costa-Jussa, C Federmann, M Fishel, Y Graham, ... ACL, 2019 | 774 | 2019 |
| Large language models are state-of-the-art evaluators of translation quality T Kocmi, C Federmann arXiv preprint arXiv:2302.14520, 2023 | 264 | 2023 |
| 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 | 212 | 2021 |
| Results of WMT22 metrics shared task: Stop using BLEU–neural metrics are better and more robust M Freitag, R Rei, N Mathur, C Lo, C Stewart, E Avramidis, T Kocmi, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 46-68, 2022 | 198 | 2022 |
| Trivial transfer learning for low-resource neural machine translation T Kocmi, O Bojar arXiv preprint arXiv:1809.00357, 2018 | 195 | 2018 |
| 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 | 194 | 2021 |
| Findings of the 2022 conference on machine translation (WMT22) T Kocmi, R Bawden, O Bojar, A Dvorkovich, C Federmann, M Fishel, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 1-45, 2022 | 176 | 2022 |
| Curriculum learning and minibatch bucketing in neural machine translation T Kocmi, O Bojar Recent Advances in Natural Language Processing 2017, 2017 | 160 | 2017 |
| Error analysis prompting enables human-like translation evaluation in large language models: A case study on chatgpt Q Lu, B Qiu, L Ding, L Xie, D Tao Preprints, 2023 | 142* | 2023 |
| 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 | 108 | 2016 |
| Findings of the 2023 conference on machine translation (WMT23): LLMs are here but not quite there yet T Kocmi, E Avramidis, R Bawden, O Bojar, A Dvorkovich, C Federmann, ... WMT23-Eighth Conference on Machine Translation, 198--216, 2023 | 88 | 2023 |
| 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 | 59 | 2017 |
| Results of WMT23 metrics shared task: Metrics might be guilty but references are not innocent M Freitag, N Mathur, C Lo, E Avramidis, R Rei, B Thompson, T Kocmi, ... Proceedings of the Eighth Conference on Machine Translation, 578-628, 2023 | 53 | 2023 |
| LanideNN: Multilingual Language Identification on Character Window T Kocmi, O Bojar Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 51 | 2017 |
| GEMBA-MQM: Detecting translation quality error spans with GPT-4 T Kocmi, C Federmann arXiv preprint arXiv:2310.13988, 2023 | 45 | 2023 |
| NTREX-128–news test references for MT evaluation of 128 languages C Federmann, T Kocmi, Y Xin Proceedings of the First Workshop on Scaling Up Multilingual Evaluation, 21-24, 2022 | 44 | 2022 |
| Gender coreference and bias evaluation at wmt 2020 T Kocmi, T Limisiewicz, G Stanovsky Proceedings of the Fifth Conference on Machine Translation, 357-364, 2020 | 42 | 2020 |
| Announcing czeng 2.0 parallel corpus with over 2 gigawords T Kocmi, M Popel, O Bojar arXiv preprint arXiv:2007.03006, 2020 | 36 | 2020 |
| Exploring benefits of transfer learning in neural machine translation T Kocmi arXiv preprint arXiv:2001.01622, 2020 | 31 | 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 | 31 | 2018 |
Ondřej BojarCharles University, Faculty of Mathematics and Physics, Institute of Formal and Applied LinguisticsE-mailová adresa ověřena na: ufal.mff.cuni.cz
