Findings of the 2016 conference on machine translation (wmt16) O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, M Huck, ... First conference on machine translation, 131-198, 2016 | 772 | 2016 |
CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies D Zeman, J Hajic, M Popel, M Potthast, M Straka, F Ginter, J Nivre, ... Proceedings of the CoNLL 2018 Shared Task: Multilingual parsing from raw …, 2018 | 654 | 2018 |
Training tips for the Transformer model M Popel, O Bojar The Prague Bulletin of Mathematical Linguistics 110, 43-70, 2018 | 373 | 2018 |
Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals M Popel, M Tomkova, J Tomek, Ł Kaiser, J Uszkoreit, O Bojar, ... Nature communications 11 (1), 1-15, 2020 | 319 | 2020 |
Universal dependencies 1.0 J Nivre, et al. http://hdl.handle.net/11234/1-1464, 2015 | 258 | 2015 |
TectoMT: modular NLP framework M Popel, Z Žabokrtský Proceedings of the 7th international conference on Advances in natural …, 2010 | 142 | 2010 |
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 | 141 | 2022 |
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 |
HamleDT: To parse or not to parse D Zeman, D Mareček, M Popel, L Ramasamy, J Štěpánek, Z Žabokrtský, ... Proceedings of the Eighth Conference on International Language Resources and …, 2012 | 93 | 2012 |
HamleDT: Harmonized multi-language dependency treebank D Zeman, O Dušek, D Mareček, M Popel, L Ramasamy, J Štepánek, ... Language Resources and Evaluation 48 (4), 601-637, 2014 | 87 | 2014 |
The joy of parallelism with CzEng 1.0 O Bojar, Z Žabokrtský, O Dušek, P Galuščáková, M Majliš, D Mareček, ... Proceedings of the Eighth International Conference on Language Resources and …, 2012 | 83 | 2012 |
A Grain of Salt for the WMT Manual Evaluation O Bojar, M Ercegovcevic, M Popel, OF Zaidan Sixth Workshop on Statistical Machine Translation, 2011 | 71 | 2011 |
Coordination structures in dependency treebanks M Popel, D Mareček, J Štěpánek, D Zeman, Z Žabokrtský Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 70 | 2013 |
Adaptation of machine translation for multilingual information retrieval in the medical domain P Pecina, O Dušek, L Goeuriot, J Hajič, J Hlaváčová, GJF Jones, L Kelly, ... Artificial intelligence in medicine 61 (3), 165-185, 2014 | 67 | 2014 |
CUNI Transformer Neural MT System for WMT18 M Popel Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 51 | 2018 |
HamleDT 2.0: Thirty Dependency Treebanks Stanfordized R Rosa, J Mašek, D Mareček, M Popel, D Zeman LREC, 2014 | 51 | 2014 |
Udapi: Universal API for universal dependencies M Popel, Z Žabokrtský, M Vojtek Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW …, 2017 | 43 | 2017 |
MT-ComparEval: Graphical evaluation interface for Machine Translation development. O Klejch, E Avramidis, A Burchardt, M Popel Prague Bull. Math. Linguistics 104, 63-74, 2015 | 40 | 2015 |
Findings of the 2023 conference on machine translation (WMT23): LLMs are here but not quite there yet K Tom, E Avramidis, R Bawden, O Bojar, A Dvorkovich, C Federmann, ... WMT23-Eighth Conference on Machine Translation, 198--216, 2023 | 39 | 2023 |
Announcing CzEng 2.0 parallel corpus with over 2 gigawords T Kocmi, M Popel, O Bojar arXiv preprint arXiv:2007.03006, 2020 | 34 | 2020 |