| 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 | 257 | 2015 |
| Multi-domain neural machine translation S Tars, M Fishel arXiv preprint arXiv:1805.02282, 2018 | 122 | 2018 |
| 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 | 36 | 2018 |
| Lost in translation: loss and decay of linguistic richness in machine translation E Vanmassenhove, D Shterionov, A Way European Association for Machine Translation 1, 2019 | 28 | 2019 |
| 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 | 24 | 2017 |
| ProbLog2: From probabilistic programming to statistical relational learning J Renkens, D Shterionov, G Van den Broeck, J Vlasselaer, D Fierens, ... Proceedings of the NIPS Probabilistic Programming Workshop, 2012 | 11 | 2012 |
| 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, 139-153, 2015 | 9 | 2015 |
| DNF sampling for ProbLog inference DS Shterionov, A Kimmig, T Mantadelis, G Janssens arXiv preprint arXiv:1009.3798, 2010 | 9 | 2010 |
| Combining SMT and NMT back-translated data for efficient NMT A Poncelas, M Popovic, D Shterionov, GMB Wenniger, A Way arXiv preprint arXiv:1909.03750, 2019 | 8 | 2019 |
| Data acquisition and modeling for learning and reasoning in probabilistic logic environment D Shterionov, G Janssens Proceedings of the 15th Portuguese Conference on Artificial Intelligence …, 2011 | 8 | 2011 |
| Implementation and performance of probabilistic inference pipelines D Shterionov, G Janssens International Symposium on Practical Aspects of Declarative Languages, 90-104, 2015 | 7 | 2015 |
| Zero-shot translation for Indian languages with sparse data G Mattoni, P Nagle, C Collantes, D Shterionov Proceedings of the 16th machine translation summit (MTSummit 2017) 2, 1-10, 2017 | 5 | 2017 |
| Compacting boolean formulae for inference in probabilistic logic programming T Mantadelis, D Shterionov, G Janssens International Conference on Logic Programming and Nonmonotonic Reasoning …, 2015 | 5 | 2015 |
| 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, 1-43, 2020 | 3 | 2020 |
| 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 | 3 | 2020 |
| Crucial components in probabilistic inference pipelines D Shterionov, G Janssens Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1887-1889, 2015 | 3 | 2015 |
| APE through neural and statistical MT with augmented data. ADAPT/DCU submission to the WMT 2019 APE shared task D Shterionov, J Wagner, F do Carmo Proceedings of the Fourth Conference on Machine Translation (Volume 3 …, 2019 | 2 | 2019 |
| ABI neural ensemble model for gender prediction adapt Bar-ilan submission for the Clin29 shared task on gender prediction E Vanmassenhove, A Moryossef, A Poncelas, A Way, D Shterionov arXiv preprint arXiv:1902.08856, 2019 | 2 | 2019 |
| Integration of a Multilingual Preordering Component into a Commercial SMT Platform A Ramm, R Superbo, D Shterionov, T O’Dowd, A Fraser The Prague Bulletin of Mathematical Linguistics 108 (1), 61, 2017 | 2 | 2017 |
| Improving KantanMT training efficiency with fast align D Shterionov, J Du, MA Palminteri, L Casanellas, T O'Dowd, A Way AMTA, 2016 | 2 | 2016 |
