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Dimitar Sht. Shterionov
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2020 – today
- 2024
- [i16]Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Pieter Spronck:
Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation. CoRR abs/2406.07970 (2024) - 2023
- [c31]Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Frédéric Blain, Eva Vanmassenhove, Mirella De Sisto, Chris Emmery, Pieter Spronck:
Tailoring Domain Adaptation for Machine Translation Quality Estimation. EAMT 2023: 9-20 - [c30]Vincent Vandeghinste, Dimitar Shterionov, Mirella De Sisto, Aoife Brady, Mathieu De Coster, Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Paolo Scipioni, Aditya Parikh, Louis ten Bosch, John O'Flaherty, Joni Dambre, Jorn Rijckaert, Bram Vanroy, Víctor Ubieto Nogales, Santiago Egea Gómez, Ineke Schuurman, Gorka Labaka, Adrián Núñez-Marcos, Irene Murtagh, Euan McGill, Horacio Saggion:
SignON: Sign Language Translation. Progress and challenges. EAMT 2023: 501-502 - [c29]Mirella De Sisto, Vincent Vandeghinste, Lien Soetemans, Caro Brosens, Dimitar Shterionov:
GoSt-ParC-Sign: Gold Standard Parallel Corpus of Sign and spoken language. EAMT 2023: 503-504 - [c28]Mathias Müller, Sarah Ebling, Eleftherios Avramidis, Alessia Battisti, Michèle Berger, Richard Bowden, Annelies Braffort, Necati Cihan Camgöz, Cristina España-Bonet, Roman Grundkiewicz, Zifan Jiang, Oscar Koller, Amit Moryossef, Regula Perrollaz, Sabine Reinhard, Annette Rios Gonzales, Dimitar Shterionov, Sandra Sidler-Miserez, Katja Tissi, Davy Van Landuyt:
First WMT Shared Task on Sign Language Translation (WMT-SLT22). EAMT 2023: 507-508 - [c27]Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, Richard Bowden, Annelies Braffort, Necati Cihan Camgöz, Sarah Ebling, Cristina España-Bonet, Anne Göhring, Roman Grundkiewicz, Mert Inan, Zifan Jiang, Oscar Koller, Amit Moryossef, Annette Rios, Dimitar Shterionov, Sandra Sidler-Miserez, Katja Tissi, Davy Van Landuyt:
Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23). WMT 2023: 68-94 - [p1]Dimitar Shterionov
, Eva Vanmassenhove
:
The Ecological Footprint of Neural Machine Translation Systems. Towards Responsible Machine Translation 2023: 185-213 - [i15]Ali Boluki, Javad PourMostafa Roshan Sharami, Dimitar Shterionov:
Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews. CoRR abs/2302.10199 (2023) - [i14]Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Pieter Spronck:
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation. CoRR abs/2303.00722 (2023) - [i13]Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Frédéric Blain, Eva Vanmassenhove, Mirella De Sisto, Chris Emmery, Pieter Spronck:
Tailoring Domain Adaptation for Machine Translation Quality Estimation. CoRR abs/2304.08891 (2023) - 2022
- [c26]Marije Timmermans, Eva Vanmassenhove, Dimitar Shterionov:
"Vaderland", "Volk" and "Natie": Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings. LChange@ACL 2022: 125-130 - [c25]Elena Murgolo, Javad PourMostafa Roshan Sharami, Dimitar Shterionov:
A Quality Estimation and Quality Evaluation Tool for the Translation Industry. EAMT 2022: 305-306 - [c24]Dimitar Shterionov, Mirella De Sisto, Vincent Vandeghinste, Aoife Brady, Mathieu De Coster, Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Paolo Scipioni, Aditya Parikh, Louis ten Bosch, John O'Flaherty, Joni Dambre, Jorn Rijckaert:
Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project. EAMT 2022: 323-324 - [c23]Mirella De Sisto, Vincent Vandeghinste, Santiago Egea Gómez, Mathieu De Coster, Dimitar Shterionov, Horacio Saggion:
Challenges with Sign Language Datasets for Sign Language Recognition and Translation. LREC 2022: 2478-2487 - [c22]Mathias Müller, Sarah Ebling, Eleftherios Avramidis
, Alessia Battisti, Michèle Berger, Richard Bowden, Annelies Braffort, Necati Cihan Camgöz, Cristina España-Bonet, Roman Grundkiewicz, Zifan Jiang, Oscar Koller, Amit Moryossef, Regula Perrollaz, Sabine Reinhard, Annette Rios, Dimitar Shterionov, Sandra Sidler-Miserez, Katja Tissi:
Findings of the First WMT Shared Task on Sign Language Translation (WMT-SLT22). WMT 2022: 744-772 - [i12]Dimitar Sht. Shterionov
, Eva Vanmassenhove
:
The Ecological Footprint of Neural Machine Translation Systems. CoRR abs/2202.02170 (2022) - [i11]Mathieu De Coster, Dimitar Shterionov, Mieke Van Herreweghe, Joni Dambre:
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges. CoRR abs/2202.03086 (2022) - 2021
- [j6]Félix do Carmo
, Dimitar Shterionov, Joss Moorkens, Joachim Wagner
, Murhaf Hossari, Eric Paquin, Dag Schmidtke, Declan Groves, Andy Way:
A review of the state-of-the-art in automatic post-editing. Mach. Transl. 35(2): 101-143 (2021) - [c21]Eva Vanmassenhove
, Dimitar Sht. Shterionov
, Matthew Gwilliam:
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. EACL 2021: 2203-2213 - [c20]Eva Vanmassenhove
, Chris Emmery
, Dimitar Shterionov
:
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives. EMNLP (1) 2021: 8940-8948 - [c19]Dimitar Shterionov:
Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL). AT4SSL@MTSummit 2021 - [c18]Mirella De Sisto, Dimitar Shterionov, Irene Murtagh, Myriam Vermeerbergen, Lorraine Leeson:
Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping (short paper). AT4SSL@MTSummit 2021: 98-103 - [c17]Horacio Saggion, Dimitar Shterionov, Gorka Labaka, Tim Van de Cruys, Vincent Vandeghinste, Josep Blat:
SignON: Bridging the gap between Sign and Spoken Languages. SEPLN (Projects and Demonstrations) 2021: 21-24 - [e3]Dimitar Shterionov:
Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL@MTSummit 2021 Virtual, August 20, 2021. Association for Machine Translation in the Americas 2021 [contents] - [i10]Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam:
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. CoRR abs/2102.00287 (2021) - [i9]Eva Vanmassenhove
, Chris Emmery
, Dimitar Shterionov
:
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives. CoRR abs/2109.06105 (2021) - [i8]Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Pieter Spronck:
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts. CoRR abs/2112.06096 (2021) - 2020
- [j5]Dimitar Sht. Shterionov
, Félix do Carmo
, Joss Moorkens
, Murhaf Hossari, Joachim Wagner
, Eric Paquin, Dag Schmidtke, Declan Groves, Andy Way:
A roadmap to neural automatic post-editing: an empirical approach. Mach. Transl. 34(2-3): 67-96 (2020) - [c16]Xabier Soto
, Dimitar Sht. Shterionov
, Alberto Poncelas, Andy Way:
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation. ACL 2020: 3898-3908 - [c15]Piyush Arora, Dimitar Sht. Shterionov, Yasufumi Moriya, Abhishek Kaushik, Daria Dzendzik, Gareth J. F. Jones:
An Investigative Study of Multi-Modal Cross-Lingual Retrieval. CLSSTS@LREC 2020: 58-67 - [i7]Xabier Soto, Dimitar Sht. Shterionov, Alberto Poncelas
, Andy Way:
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation. CoRR abs/2005.00308 (2020)
2010 – 2019
- 2019
- [c14]Eva Vanmassenhove, Amit Moryossef, Alberto Poncelas, Andy Way, Dimitar Sht. Shterionov:
ABI Neural Ensemble Model for Gender Prediction. GxG@CLIN 2019: 53-61 - [c13]Eva Vanmassenhove, Dimitar Sht. Shterionov, Andy Way:
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. MTSummit (1) 2019: 222-232 - [c12]Dimitar Sht. Shterionov, Félix do Carmo, Joss Moorkens, Eric Paquin, Dag Schmidtke, Declan Groves, Andy Way:
When less is more in Neural Quality Estimation of Machine Translation. An industry case study. MTSummit (2) 2019: 228-235 - [c11]Alberto Poncelas, Maja Popovic, Dimitar Sht. Shterionov, Gideon Maillette de Buy Wenniger, Andy Way:
Combining PBSMT and NMT Back-translated Data for Efficient NMT. RANLP 2019: 922-931 - [c10]Dimitar Sht. Shterionov, Joachim Wagner
, Félix do Carmo:
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task. WMT (3) 2019: 132-138 - [c9]Daniel Stein, Dimitar Sht. Shterionov
, Andy Way:
Towards language-agnostic alignment of product titles and descriptions: a neural approach. WWW (Companion Volume) 2019: 387-392 - [e2]Mikel L. Forcada, Andy Way, John Tinsley, Dimitar Sht. Shterionov, Celia Rico, Federico Gaspari:
Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks, MTSummit 2019, Dublin, Ireland, August 19-23, 2019. European Association for Machine Translation 2019 [contents] - [e1]Mihael Arcan, Marco Turchi, Jinhua Du, Dimitar Sht. Shterionov, Daniel Torregrosa:
Proceedings of the Second Workshop on Multilingualism at the Intersection of Knowledge Bases and Machine Translation, MomenT@MTSummit 2019, Dublin, Ireland, August 19-23, 2019. European Association for Machine Translation 2019 [contents] - [i6]Eva Vanmassenhove, Amit Moryossef, Alberto Poncelas, Andy Way, Dimitar Sht. Shterionov:
ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction. CoRR abs/1902.08856 (2019) - [i5]Eva Vanmassenhove, Dimitar Sht. Shterionov, Andy Way:
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. CoRR abs/1906.12068 (2019) - [i4]Alberto Poncelas, Maja Popovic, Dimitar Sht. Shterionov, Gideon Maillette de Buy Wenniger, Andy Way:
Combining SMT and NMT Back-Translated Data for Efficient NMT. CoRR abs/1909.03750 (2019) - 2018
- [j4]Dimitar Sht. Shterionov
, Riccardo Superbo, Pat Nagle, Laura Casanellas, Tony O'Dowd, Andy Way
:
Human versus automatic quality evaluation of NMT and PBSMT. Mach. Transl. 32(3): 217-235 (2018) - [c8]Alberto Poncelas, Dimitar Shterionov, Andy Way, Gideon Maillette de Buy Wenniger, Peyman Passban:
Investigating Backtranslation in Neural Machine Translation. EAMT 2018: 269-278 - [i3]Alberto Poncelas, Dimitar Sht. Shterionov, Andy Way, Gideon Maillette de Buy Wenniger, Peyman Passban:
Investigating Backtranslation in Neural Machine Translation. CoRR abs/1804.06189 (2018) - 2017
- [j3]Anita Ramm, Riccardo Superbo, Dimitar Sht. Shterionov, Tony O'Dowd, Alexander M. Fraser:
Integration of a Multilingual Preordering Component into a Commercial SMT Platform. Prague Bull. Math. Linguistics 108: 61-72 (2017) - [c7]Giulia Mattoni, Pat Nagle, Carlos Collantes, Dimitar Shterionov:
Zero-Shot Translation for Indian Languages with Sparse Data. MTSummit (2) 2017: 1-10 - 2016
- [c6]Dimitar Shterionov:
Divide and Conquer Strategy for Large Data MT. AMTA (2) 2016: 114-122 - [c5]Dimitar Shterionov, Jinhua Du, Marc Anthony Palminteri, Laura Casanellas, Tony O'Dowd, Andy Way:
Improving KantanMT Training Efficiency with fast_align. AMTA (2) 2016: 222-231 - 2015
- [b1]Dimitar Sht. Shterionov:
Design and Development of Probabilistic Inference Pipelines ; Ontwerp en ontwikkeling van een pijpleiding architectuur voor probabilistische inferentie. Katholieke Universiteit Leuven, Belgium, 2015 - [j2]Daan Fierens, Guy Van den Broeck
, Joris Renkens, Dimitar Sht. Shterionov
, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
:
Inference and learning in probabilistic logic programs using weighted Boolean formulas. Theory Pract. Log. Program. 15(3): 358-401 (2015) - [c4]Theofrastos Mantadelis
, Dimitar Sht. Shterionov
, Gerda Janssens:
Compacting Boolean Formulae for Inference in Probabilistic Logic Programming. LPNMR 2015: 425-438 - [c3]Dimitar Sht. Shterionov
, Gerda Janssens:
Implementation and Performance of Probabilistic Inference Pipelines. PADL 2015: 90-104 - [c2]Dimitar Sht. Shterionov
, Gerda Janssens:
Crucial components in probabilistic inference pipelines. SAC 2015: 1887-1889 - 2014
- [c1]Dimitar Sht. Shterionov
, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert
, Gerda Janssens:
The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions. ILP 2014: 139-153 - 2013
- [j1]Dimitar Sht. Shterionov, Theofrastos Mantadelis, Gerda Janssens:
Pattern-Based Compaction for ProbLog Inference. Theory Pract. Log. Program. 13(4-5-Online-Supplement) (2013) - [i2]Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt:
Inference and learning in probabilistic logic programs using weighted Boolean formulas. CoRR abs/1304.6810 (2013) - 2010
- [i1]Dimitar Sht. Shterionov, Angelika Kimmig, Theofrastos Mantadelis, Gerda Janssens:
DNF Sampling for ProbLog Inference. CoRR abs/1009.3798 (2010)
Coauthor Index
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