| Moses: Open source toolkit for statistical machine translation P Koehn, H Hoang, A Birch, C Callison-Burch, M Federico, N Bertoldi, ... Proceedings of the 45th annual meeting of the association for computational …, 2007 | 6929 | 2007 |
| Findings of the 2014 workshop on statistical machine translation O Bojar, C Buck, C Federmann, B Haddow, P Koehn, J Leveling, C Monz, ... Proceedings of the ninth workshop on statistical machine translation, 12-58, 2014 | 1082 | 2014 |
| Findings of the 2017 conference on machine translation (wmt17) O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, S Huang, ... Association for Computational Linguistics, 2017 | 734 | 2017 |
| Findings of the 2016 conference on machine translation O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, M Huck, ... Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 655 | 2016 |
| Findings of the 2019 conference on machine translation (WMT19) L Barrault, O Bojar, MR Costa-Jussa, C Federmann, M Fishel, Y Graham, ... ACL, 2019 | 582 | 2019 |
| Training tips for the transformer model M Popel, O Bojar arXiv preprint arXiv:1804.00247, 2018 | 276 | 2018 |
| Results of the wmt16 metrics shared task O Bojar, Y Graham, A Kamran, M Stanojević Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 205 | 2016 |
| Announcing Prague Czech-English dependency treebank 2.0. J Hajic, E Hajicová, J Panevová, P Sgall, O Bojar, S Cinková, E Fucíková, ... LREC, 3153-3160, 2012 | 203* | 2012 |
| 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), 4381, 2020 | 191 | 2020 |
| Overview of the 8th workshop on Asian translation T Nakazawa, H Nakayama, C Ding, R Dabre, S Higashiyama, H Mino, ... Proceedings of the 8th Workshop on Asian Translation (WAT2021), 1-45, 2021 | 150 | 2021 |
| Results of the WMT19 metrics shared task: Segment-level and strong MT systems pose big challenges Q Ma, JTZ Wei, O Bojar, Y Graham Association for Computational Linguistics 2, 62-90, 2019 | 149 | 2019 |
| Results of the WMT14 metrics shared task M Macháček, O Bojar Proceedings of the Ninth Workshop on Statistical Machine Translation, 293-301, 2014 | 146 | 2014 |
| Trivial transfer learning for low-resource neural machine translation T Kocmi, O Bojar arXiv preprint arXiv:1809.00357, 2018 | 140 | 2018 |
| HindEnCorp-Hindi-English and Hindi-only Corpus for Machine Translation. O Bojar, V Diatka, P Rychlý, P Stranák, V Suchomel, A Tamchyna, ... LREC, 3550-3555, 2014 | 137 | 2014 |
| Curriculum learning and minibatch bucketing in neural machine translation T Kocmi, O Bojar arXiv preprint arXiv:1707.09533, 2017 | 111 | 2017 |
| Findings of the IWSLT 2020 evaluation campaign E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ... Proceedings of the 17th International Conference on Spoken Language …, 2020 | 105 | 2020 |
| Results of the WMT15 Tuning Shared Task M Stanojević, A Kamran, O Bojar Tenth Workshop on Statistical Machine Translation, 274–281, 2015 | 100* | 2015 |
| 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 | 100* | 2012 |
| 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, ... Text, Speech, and Dialogue: 19th International Conference, TSD 2016, Brno …, 2016 | 98 | 2016 |
| Results of the WMT18 metrics shared task: Both characters and embeddings achieve good performance Q Ma, O Bojar, Y Graham Proceedings of the third conference on machine translation: shared task …, 2018 | 93 | 2018 |
Philipp KoehnProfessor, Johns Hopkins UniversityVerified email at jhu.edu
