| Inference and learning in probabilistic logic programs using weighted boolean formulas D Fierens, G Van den Broeck, J Renkens, D Shterionov, B Gutmann, ... Theory and Practice of Logic Programming 15 (3), 358-401, 2015 | 393 | 2015 |
| Multi-domain neural machine translation S Tars, M Fishel arXiv preprint arXiv:1805.02282, 2018 | 206 | 2018 |
| Lost in translation: Loss and decay of linguistic richness in machine translation E Vanmassenhove, D Shterionov, A Way arXiv preprint arXiv:1906.12068, 2019 | 123 | 2019 |
| Machine translationese: Effects of algorithmic bias on linguistic complexity in machine translation E Vanmassenhove, D Shterionov, M Gwilliam arXiv preprint arXiv:2102.00287, 2021 | 85 | 2021 |
| Human versus automatic quality evaluation of NMT and PBSMT D Shterionov, R Superbo, P Nagle, L Casanellas, T O’dowd, A Way Machine Translation 32 (3), 217-235, 2018 | 85 | 2018 |
| A review of the state-of-the-art in automatic post-editing F do Carmo, D Shterionov, J Moorkens, J Wagner, M Hossari, E Paquin, ... Machine Translation 35, 101-143, 2021 | 45 | 2021 |
| Neutral rewriter: A rule-based and neural approach to automatic rewriting into gender-neutral alternatives E Vanmassenhove, C Emmery, D Shterionov arXiv preprint arXiv:2109.06105, 2021 | 39 | 2021 |
| Empirical evaluation of NMT and PBSMT quality for large-scale translation production D Shterionov, P Nagle, L Casanellas, R Superbo, T O'Dowd 20th Annual Conference of the European Association for Machine Translation …, 2017 | 32 | 2017 |
| Findings of the first wmt shared task on sign language translation (wmt-slt22) M Müller, S Ebling, E Avramidis, A Battisti, M Berger, R Bowden, A Braffort, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 744-772, 2022 | 30 | 2022 |
| Machine translation from signed to spoken languages: State of the art and challenges M De Coster, D Shterionov, M Van Herreweghe, J Dambre Universal Access in the Information Society, 1-27, 2023 | 29 | 2023 |
| Combining SMT and NMT back-translated data for efficient NMT A Poncelas, M Popovic, D Shterionov, GMDB Wenniger, A Way arXiv preprint arXiv:1909.03750, 2019 | 21 | 2019 |
| Challenges with sign language datasets for sign language recognition and translation M De Sisto, V Vandeghinste, S Egea Gómez, M De Coster, D Shterionov, ... Calzolari N, Béchet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S …, 2022 | 20 | 2022 |
| Selecting backtranslated data from multiple sources for improved neural machine translation X Soto, D Shterionov, A Poncelas, A Way arXiv preprint arXiv:2005.00308, 2020 | 20 | 2020 |
| The most probable explanation for probabilistic logic programs with annotated disjunctions D Shterionov, J Renkens, J Vlasselaer, A Kimmig, W Meert, G Janssens Inductive Logic Programming: 24th International Conference, ILP 2014, Nancy …, 2015 | 20 | 2015 |
| Shterionov, Andy Way, Gideon Maillette de Buy Wenniger, and Peyman Passban. 2018 A Poncelas, D Sht Investigating backtranslation in neural machine translation. arXiv, 1804 | 18* | 1804 |
| Special issue on sign language translation and avatar technology R Wolfe, A Braffort, E Efthimiou, E Fotinea, T Hanke, D Shterionov Universal Access in the Information Society, 1-3, 2023 | 17 | 2023 |
| A roadmap to neural automatic post-editing: an empirical approach D Shterionov, F Carmo, J Moorkens, M Hossari, J Wagner, E Paquin, ... Machine Translation 34, 67-96, 2020 | 17 | 2020 |
| ProbLog2: From probabilistic programming to statistical relational learning J Renkens, D Shterionov, G Van den Broeck, J Vlasselaer, D Fierens, ... Proc. of NIPS, 1-5, 2012 | 15 | 2012 |
| DNF sampling for ProbLog inference DS Shterionov, A Kimmig, T Mantadelis, G Janssens arXiv preprint arXiv:1009.3798, 2010 | 11 | 2010 |
| Findings of the second WMT shared task on sign language translation (WMT-SLT23) M Müller, M Alikhani, E Avramidis, R Bowden, A Braffort, N Cihan Camgöz, ... Association for Computational Linguistics, 2023 | 9 | 2023 |
Gerda JanssensProfessor of the Department of Computer Science, KULeuven在 cs.kuleuven.be 的电子邮件经过验证
