Dimitar Shterionov
Dimitar Shterionov
Other namesDimitar Sht. Shterionov
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Cited by
Cited by
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
Multi-domain neural machine translation
S Tars, M Fishel
arXiv preprint arXiv:1805.02282, 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
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
Machine translationese: Effects of algorithmic bias on linguistic complexity in machine translation
E Vanmassenhove, D Shterionov, M Gwilliam
arXiv preprint arXiv:2102.00287, 2021
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
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
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
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
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
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
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
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
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
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
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
Shterionov, Andy Way, Gideon Maillette de Buy Wenniger, and Peyman Passban. 2018
A Poncelas, D Sht
Investigating backtranslation in neural machine translation. arXiv, 1804
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
DNF sampling for ProbLog inference
DS Shterionov, A Kimmig, T Mantadelis, G Janssens
arXiv preprint arXiv:1009.3798, 2010
Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping
M De Sisto, D Shterionov, I Murtagh, M Vermeerbergen, L Leeson
https://aclanthology. org/volumes/2021. mtsummit-at4ssl/, 98-103, 2021
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