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- Maja Popovic
Dublin City University, ADAPT Centre, Ireland
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Publication search results
found 103 matches
- 2024
- Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, Roman Grundkiewicz, Marzena Karpinska, Maja Popovic, Mrinmaya Sachan, Mariya Shmatova:
Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation. CoRR abs/2406.11580 (2024) - Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Marzena Karpinska, Philipp Koehn, Benjamin Marie, Kenton Murray, Masaaki Nagata, Martin Popel, Maja Popovic, Mariya Shmatova, Steinþór Steingrímsson, Vilém Zouhar:
Preliminary WMT24 Ranking of General MT Systems and LLMs. CoRR abs/2407.19884 (2024) - 2023
- Kanishk Verma, Maja Popovic, Alexandros Poulis, Yelena Cherkasova, Cathal Ó Hóbáin, Angela Mazzone, Tijana Milosevic, Brian Davis:
Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents. Nat. Lang. Eng. 29(6): 1458-1480 (2023) - Maja Popovic, Mohammad Arvan, Natalie Parde, Anya Belz:
Exploring Variation of Results from Different Experimental Conditions. ACL (Findings) 2023: 2746-2757 - Maja Popovic, Ekaterina Lapshinova-Koltunski, Maarit Koponen:
Computational analysis of different translations: by professionals, students and machines. EAMT 2023: 365-374 - Maja Popovic, Vasudevan Nedumpozhimana, Meegan Gower, Sneha Rautmare, Nishtha Jain, John D. Kelleher:
Using MT for multilingual covid-19 case load prediction from social media texts. EAMT 2023: 461-470 - Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Nishtha Jain, Maja Popovic, Patricia Buffini, John D. Kelleher:
Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References. RANLP 2023: 777-784 - Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Philipp Koehn, Benjamin Marie, Christof Monz, Makoto Morishita, Kenton Murray, Makoto Nagata, Toshiaki Nakazawa, Martin Popel, Maja Popovic, Mariya Shmatova:
Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. WMT 2023: 1-42 - Inguna Skadina, Andrejs Vasiljevs, Marcis Pinnis, Aivars Berzins, Nora Aranberri, Joachim Van den Bogaert, Sally O'Connor, Mercedes García-Martínez, Iakes Goenaga, Jan Hajic, Manuel Herranz, Christian Lieske, Martin Popel, Maja Popovic, Sheila Castilho, Federico Gaspari, Rudolf Rosa, Riccardo Superbo, Andy Way:
Deep Dive Machine Translation. European Language Equality 2023: 263-287 - Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora Aranberri, Mara Nunziatini, Carla Parra Escartín, Mikel L. Forcada, Maja Popovic, Carolina Scarton, Helena Moniz:
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023, Tampere, Finland, 12-15 June 2023. European Association for Machine Translation 2023, ISBN 978-952-03-2947-1 [contents] - 2022
- Anya Belz, Maja Popovic, Simon Mille:
Quantified Reproducibility Assessment of NLP Results. ACL (1) 2022: 16-28 - Pintu Lohar, Sinead Madden, Edmond O'Connor, Maja Popovic, Tanya Habruseva:
Building Machine Translation System for Software Product Descriptions Using Domain-specific Sub-corpora Extraction. AMTA 2022: 1-13 - Ekaterina Lapshinova-Koltunski, Maja Popovic, Maarit Koponen:
DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. EAMT 2022: 335-336 - Nishtha Jain, Declan Groves, Lucia Specia, Maja Popovic:
Leveraging Pre-trained Language Models for Gender Debiasing. LREC 2022: 2188-2195 - Ekaterina Lapshinova-Koltunski, Maja Popovic, Maarit Koponen:
DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. LREC 2022: 1751-1760 - Marija Brkic Bakaric, Lucia Nacinovic Prskalo, Maja Popovic:
A General Framework for Detecting Metaphorical Collocations. MWE@LREC2022 2022: 3-8 - Tom Kocmi, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Rebecca Knowles, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Michal Novák, Martin Popel, Maja Popovic:
Findings of the 2022 Conference on Machine Translation (WMT22). WMT 2022: 1-45 - Anya Belz, Maja Popovic, Simon Mille:
Quantified Reproducibility Assessment of NLP Results. CoRR abs/2204.05961 (2022) - 2021
- Maja Popovic:
From MT to LREV: managing the transition. Mach. Transl. 35(4): 449 (2021) - Maja Popovic:
Agree to Disagree: Analysis of Inter-Annotator Disagreements in Human Evaluation of Machine Translation Output. CoNLL 2021: 234-243 - Maja Popovic, Anya Belz:
A Reproduction Study of an Annotation-based Human Evaluation of MT Outputs. INLG 2021: 293-300 - Maja Popovic:
On nature and causes of observed MT errors. MTSummit (1) 2021: 163-175 - Maja Popovic, Alberto Poncelas, Marija Brkic, Andy Way:
On Machine Translation of User Reviews. RANLP 2021: 1109-1118 - Nishtha Jain, Maja Popovic, Declan Groves, Eva Vanmassenhove:
Generating Gender Augmented Data for NLP. CoRR abs/2107.05987 (2021) - 2020
- Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic, Alberto Poncelas:
Rapid Development of Competitive Translation Engines for Access to Multilingual COVID-19 Information. Informatics 7(2): 19 (2020) - Maja Popovic:
Informative Manual Evaluation of Machine Translation Output. COLING 2020: 5059-5069 - Maja Popovic:
Relations between comprehensibility and adequacy errors in machine translation output. CoNLL 2020: 256-264 - Maja Popovic:
On the differences between human translations. EAMT 2020: 365-374 - Maja Popovic:
QRev: Machine Translation of User Reviews: What Influences the Translation Quality? EAMT 2020: 461-462 - Sheila Castilho, Maja Popovic, Andy Way:
On Context Span Needed for Machine Translation Evaluation. LREC 2020: 3735-3742
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