| Fast lexically constrained decoding with dynamic beam allocation for neural machine translation M Post, D Vilar arXiv preprint arXiv:1804.06609, 2018 | 356 | 2018 |
| Sockeye: A toolkit for neural machine translation F Hieber, T Domhan, M Denkowski, D Vilar, A Sokolov, A Clifton, M Post arXiv preprint arXiv:1712.05690, 2017 | 242 | 2017 |
| Prompting palm for translation: Assessing strategies and performance D Vilar, M Freitag, C Cherry, J Luo, V Ratnakar, G Foster arXiv preprint arXiv:2211.09102, 2022 | 153 | 2022 |
| Can we translate letters? D Vilar, JT Peter, H Ney Proceedings of the Second Workshop on Statistical Machine Translation, 33-39, 2007 | 118 | 2007 |
| Scaling up influence functions A Schioppa, P Zablotskaia, D Vilar, A Sokolov Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8179-8186, 2022 | 105 | 2022 |
| Novel reordering approaches in phrase-based statistical machine translation S Kanthak, D Vilar, E Matusov, R Zens, H Ney Proceedings of the ACL Workshop on Building and Using Parallel Texts, 167-174, 2005 | 103 | 2005 |
| Jane: Open source hierarchical translation, extended with reordering and lexicon models D Vilar, D Stein, M Huck, H Ney Proceedings of the Joint Fifth Workshop on Statistical Machine Translation …, 2010 | 92 | 2010 |
| Dialogue act classification using a Bayesian approach S Grau, E Sanchis, MJ Castro, D Vilar 9th Conference Speech and Computer, 2004 | 90 | 2004 |
| AER: Do we need to “improve” our alignments? D Vilar, M Popović, H Ney Proceedings of the Third International Workshop on Spoken Language …, 2006 | 87 | 2006 |
| The sockeye neural machine translation toolkit at AMTA 2018 F Hieber, T Domhan, M Denkowski, D Vilar, A Sokolov, A Clifton, M Post | 68 | 2018 |
| Human evaluation of machine translation through binary system comparisons D Vilar, G Leusch, H Ney, RE Banchs Proceedings of the Second Workshop on Statistical Machine Translation, 96-103, 2007 | 60 | 2007 |
| Learning hidden unit contribution for adapting neural machine translation models D Vilar | 41 | 2018 |
| Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features E Avramidis, M Popović, D Vilar, A Burchardt Proceedings of the Sixth Workshop on Statistical Machine Translation, 65-70, 2011 | 41 | 2011 |
| Evaluation without references: IBM1 scores as evaluation metrics M Popović, D Vilar, E Avramidis, A Burchardt Proceedings of the Sixth Workshop on Statistical Machine Translation, 99-103, 2011 | 40 | 2011 |
| Comparison of generation strategies for interactive machine translation O Bender, S Hasan, D Vilar, R Zens, H Ney Proceedings of the 10th EAMT Conference: Practical applications of machine …, 2005 | 40 | 2005 |
| Multi-label text classification using multinomial models D Vilar, MJ Castro, E Sanchis Advances in Natural Language Processing: 4th International Conference, EsTAL …, 2004 | 35 | 2004 |
| The sockeye 2 neural machine translation toolkit at AMTA 2020 T Domhan, M Denkowski, D Vilar, X Niu, F Hieber, K Heafield arXiv preprint arXiv:2008.04885, 2020 | 34 | 2020 |
| Analysing soft syntax features and heuristics for hierarchical phrase based machine translation. D Vilar, D Stein, H Ney Proceedings of the 5th International Workshop on Spoken Language Translation …, 2008 | 33 | 2008 |
| Controlling machine translation for multiple attributes with additive interventions A Schioppa, D Vilar, A Sokolov, K Filippova Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 31 | 2021 |
| A cocktail of deep syntactic features for hierarchical machine translation D Stein, S Peitz, D Vilar, H Ney Proceedings of the 9th Conference of the Association for Machine Translation …, 2010 | 31 | 2010 |
Hermann NeyRWTH Aachen UniversityEmail verificata su cs.rwth-aachen.de