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ORCIDMaja Popovic
Maja Popović
Person information
- unicode name: Maja Popović
- affiliation: Dublin City University, ADAPT Centre, Ireland
- affiliation (former): Humboldt University of Berlin, Germany
- affiliation (former): German Research Centre for Artificial Intelligence (DFKI)
- affiliation (former): RWTH Aachen University, Germany
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2020 – today
- 2024
[i6]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)- [i5]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
- [j11]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) - [c80]Maja Popovic, Mohammad Arvan, Natalie Parde, Anya Belz:
Exploring Variation of Results from Different Experimental Conditions. ACL (Findings) 2023: 2746-2757 - [c79]Maja Popovic, Ekaterina Lapshinova-Koltunski, Maarit Koponen:
Computational analysis of different translations: by professionals, students and machines. EAMT 2023: 365-374 - [c78]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 - [c77]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 - [c76]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 - [p1]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 - [e4]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
- [c75]Anya Belz, Maja Popovic, Simon Mille:
Quantified Reproducibility Assessment of NLP Results. ACL (1) 2022: 16-28 - [c74]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 - [c73]Ekaterina Lapshinova-Koltunski, Maja Popovic, Maarit Koponen:
DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. EAMT 2022: 335-336 - [c72]Ekaterina Lapshinova-Koltunski, Maja Popovic, Maarit Koponen:
DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. LREC 2022: 1751-1760 - [c71]Nishtha Jain, Declan Groves, Lucia Specia, Maja Popovic:
Leveraging Pre-trained Language Models for Gender Debiasing. LREC 2022: 2188-2195 - [c70]Marija Brkic Bakaric, Lucia Nacinovic Prskalo, Maja Popovic:
A General Framework for Detecting Metaphorical Collocations. MWE@LREC2022 2022: 3-8 - [c69]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 - [i4]Anya Belz, Maja Popovic, Simon Mille:
Quantified Reproducibility Assessment of NLP Results. CoRR abs/2204.05961 (2022) - 2021
- [j10]Maja Popovic:
From MT to LREV: managing the transition. Mach. Transl. 35(4): 449 (2021) - [c68]Maja Popovic:
Agree to Disagree: Analysis of Inter-Annotator Disagreements in Human Evaluation of Machine Translation Output. CoNLL 2021: 234-243 - [c67]Maja Popovic, Anya Belz:
A Reproduction Study of an Annotation-based Human Evaluation of MT Outputs. INLG 2021: 293-300 - [c66]Maja Popovic:
On nature and causes of observed MT errors. MTSummit (1) 2021: 163-175 - [c65]Maja Popovic, Alberto Poncelas, Marija Brkic, Andy Way:
On Machine Translation of User Reviews. RANLP 2021: 1109-1118 - [i3]Nishtha Jain, Maja Popovic, Declan Groves, Eva Vanmassenhove:
Generating Gender Augmented Data for NLP. CoRR abs/2107.05987 (2021) - 2020
- [j9]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) - [c64]Maja Popovic:
Informative Manual Evaluation of Machine Translation Output. COLING 2020: 5059-5069 - [c63]Maja Popovic:
Relations between comprehensibility and adequacy errors in machine translation output. CoNLL 2020: 256-264 - [c62]Maja Popovic:
On the differences between human translations. EAMT 2020: 365-374 - [c61]Maja Popovic:
QRev: Machine Translation of User Reviews: What Influences the Translation Quality? EAMT 2020: 461-462 - [c60]Sheila Castilho, Maja Popovic, Andy Way:
On Context Span Needed for Machine Translation Evaluation. LREC 2020: 3735-3742 - [c59]Maja Popovic, Alberto Poncelas, Marija Brkic, Andy Way:
Neural Machine Translation for translating into Croatian and Serbian. VarDial@COLING 2020: 102-113 - [c58]Maja Popovic, Alberto Poncelas:
Neural Machine Translation between similar South-Slavic languages. WMT@EMNLP 2020: 430-436 - [e3]John E. Ortega, Marcello Federico, Constantin Orasan, Maja Popovic:
Proceedings of 1st Workshop on Post-Editing in Modern-Day Translation, PEMDT@AMTA 2020, Virtual, October, 2020. Association for Machine Translation in the Americas 2020 [contents] - [i2]Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic, Alberto Poncelas:
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation. CoRR abs/2005.00283 (2020)
2010 – 2019
- 2019
- [j8]Sheila Castilho, Federico Gaspari, Joss Moorkens, Maja Popovic, Antonio Toral:
Editors' foreword to the special issue on human factors in neural machine translation. Mach. Transl. 33(1-2): 1-7 (2019) - [c57]Pintu Lohar, Maja Popovic, Andy Way:
Building English-to-Serbian Machine Translation System for IMDb Movie Reviews. BSNLP@ACL 2019: 105-113 - [c56]Maja Popovic:
On reducing translation shifts in translations intended for MT evaluation. MTSummit (2) 2019: 80-87 - [c55]Maja Popovic, David Vilar:
Automatic error classification with multiple error labels. MTSummit (1) 2019: 87-95 - [c54]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 - [c53]Maja Popovic, Sheila Castilho:
Are ambiguous conjunctions problematic for machine translation? RANLP 2019: 959-966 - [c52]Sanja Stajner, Maja Popovic:
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language. RANLP 2019: 1141-1150 - [c51]Maja Popovic:
Evaluating Conjunction Disambiguation on English-to-German and French-to-German WMT 2019 Translation Hypotheses. WMT (2) 2019: 464-469 - [i1]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
- [j7]Maja Popovic:
Language-related issues for NMT and PBMT for English-German and English-Serbian. Mach. Transl. 32(3): 237-253 (2018) - [c50]Maja Popovic:
Complex Word Identification Using Character n-grams. BEA@NAACL-HLT 2018: 341-348 - [c49]Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Miquel Esplà-Gomis, Maja Popovic, Celia Rico, André Martins, Joachim Van den Bogaert, Mikel L. Forcada:
Proceedings of the 21st Annual Conference of the European Association for Machine Translation. EAMT 2018: 1-30 - [c48]Iris Hendrickx, Eirini Takoulidou, Thanasis Naskos, Katia Lida Kermanidis, Vilelmini Sosoni, Hugo De Vos, Maria Stasimioti, Menno van Zaanen, Panayota Georgakopoulou, Valia Kordoni, Maja Popovic, Markus Egg, Antal van den Bosch:
A Multilingual Wikified Data Set of Educational Material. LREC 2018 - [e2]Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Miquel Esplà-Gomis, Maja Popovic, Celia Rico, André Martins, Joachim Van den Bogaert, Mikel L. Forcada:
Proceedings of the 21st Annual Conference of the European Association for Machine Translation, EAMT 2018, Alicante, Spain, May 28-30, 2018. 2018, ISBN 978-84-09-01901-4 [contents] - 2017
- [j6]Maja Popovic:
Comparing Language Related Issues for NMT and PBMT between German and English. Prague Bull. Math. Linguistics 108: 209-220 (2017) - [c47]Maja Popovic:
chrF++: words helping character n-grams. WMT 2017: 612-618 - [e1]Maja Popovic, Jordan L. Boyd-Graber:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Tutorial Abstracts. Association for Computational Linguistics 2017, ISBN 978-1-945626-77-7 [contents] - 2016
- [c46]Valia Kordoni, Lexi Birch, Ioana Buliga, Kostadin Cholakov, Markus Egg, Federico Gaspari, Yota Georgakopoulou, Maria Gialama, Iris Hendrickx, Mitja Jermol, Katia Kermanidis, Joss Moorkens, Davor Orlic, Michael Papadopoulos, Maja Popovic, Rico Sennrich, Vilelmini Sosoni, Dimitrios Tsoumakos, Antal van den Bosch, Menno van Zaanen, Andy Way:
TraMOOC (Translation for Massive Open Online Courses): providing reliable MT for MOOCs. EAMT (Projects/Products) 2016 - [c45]Maja Popovic, Mihael Arcan, Arle Lommel:
Potential and Limits of Using Post-edits as Reference Translations for MT Evaluation. EAMT 2016: 218-229 - [c44]Sanja Stajner, Maja Popovic:
Can Text Simplification Help Machine Translation? EAMT 2016: 230-242 - [c43]Nora Aranberri, Eleftherios Avramidis, Aljoscha Burchardt, Ondrej Klejch, Martin Popel, Maja Popovic:
Tools and Guidelines for Principled Machine Translation Development. LREC 2016 - [c42]Maja Popovic, Mihael Arcan:
PE2rr Corpus: Manual Error Annotation of Automatically Pre-annotated MT Post-edits. LREC 2016 - [c41]Maja Popovic, Mihael Arcan, Filip Klubicka:
Language Related Issues for Machine Translation between Closely Related South Slavic Languages. VarDial@COLING 2016: 43-52 - [c40]Maja Popovic, Kostadin Cholakov, Valia Kordoni, Nikola Ljubesic:
Enlarging Scarce In-domain English-Croatian Corpus for SMT of MOOCs Using Serbian. VarDial@COLING 2016: 97-105 - [c39]Maja Popovic:
chrF deconstructed: beta parameters and n-gram weights. WMT 2016: 499-504 - 2015
- [c38]Eleftherios Avramidis, Aljoscha Burchardt, Maja Popovic, Hans Uszkoreit:
Towards Deeper MT - A Hybrid System for German. DMTW 2015: 12-19 - [c37]Maja Popovic, Mihael Arcan:
Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages. EAMT 2015 - [c36]Maja Popovic, Mihael Arcan, Eleftherios Avramidis, Aljoscha Burchardt, Arle Lommel:
Poor man's lemmatisation for automatic error classification. EAMT 2015 - [c35]Eleftherios Avramidis, Maja Popovic, Aljoscha Burchardt:
DFKI's experimental hybrid MT system for WMT 2015. WMT@EMNLP 2015: 66-73 - [c34]Maja Popovic:
chrF: character n-gram F-score for automatic MT evaluation. WMT@EMNLP 2015: 392-395 - 2014
- [j5]Maja Popovic, Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Sven Schmeier, Cindy Tscherwinka, David Vilar, Hans Uszkoreit:
Involving language professionals in the evaluation of machine translation. Lang. Resour. Evaluation 48(4): 541-559 (2014) - [c33]Arle Lommel, Aljoscha Burchardt, Maja Popovic, Kim Harris, Eleftherios Avramidis, Hans Uszkoreit:
Using a new analytic measure for the annotation and analysis of MT errors on real data. EAMT 2014: 165-172 - [c32]Maja Popovic, Arle Lommel, Aljoscha Burchardt, Eleftherios Avramidis, Hans Uszkoreit:
Relations between different types of post-editing operations, cognitive effort and temporal effort. EAMT 2014: 191-198 - [c31]Eleftherios Avramidis, Maja Popovic:
Correlating decoding events with errors in Statistical Machine Translation. ICON 2014: 20-29 - [c30]Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Maja Popovic, Cindy Tscherwinka, David Vilar, Hans Uszkoreit:
The taraXÜ corpus of human-annotated machine translations. LREC 2014: 2679-2682 - 2013
- [c29]Maja Popovic, Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Sven Schmeier, Cindy Tscherwinka, David Vilar:
A CCG-based Quality Estimation Metric for Statistical Machine Translation Learning from Human Judgments of Machine Translation Output. MTSummit (Posters) 2013 - [c28]Maja Popovic, Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Sven Schmeier, Cindy Tscherwinka, David Vilar:
Learning from Human Judgments of Machine Translation Output. MTSummit (Posters) 2013 - [c27]Maja Popovic, Eleftherios Avramidis, Aljoscha Burchardt, David Vilar, Hans Uszkoreit:
What can we learn about the selection mechanism for post-editing? WPTP@MTSummit 2013 - [c26]Eleftherios Avramidis, Maja Popovic:
Selecting Feature Sets for Comparative and Time-Oriented Quality Estimation of Machine Translation Output. WMT@ACL 2013: 329-336 - 2012
- [j4]Mireia Farrús, Marta R. Costa-jussà, Maja Popovic:
Study and correlation analysis of linguistic, perceptual, and automatic machine translation evaluations. J. Assoc. Inf. Sci. Technol. 63(1): 174-184 (2012) - [j3]Maja Popovic:
rgbF: An Open Source Tool for n-gram Based Automatic Evaluation of Machine Translation Output. Prague Bull. Math. Linguistics 98: 99-108 (2012) - [c25]Mark Fishel, Ondrej Bojar, Maja Popovic:
Terra: a Collection of Translation Error-Annotated Corpora. LREC 2012: 7-14 - [c24]Eleftherios Avramidis, Aljoscha Burchardt, Christian Federmann, Maja Popovic, Cindy Tscherwinka, David Vilar:
Involving Language Professionals in the Evaluation of Machine Translation. LREC 2012: 1127-1130 - [c23]Jan Berka, Ondrej Bojar, Mark Fishel, Maja Popovic, Daniel Zeman:
Automatic MT Error Analysis: Hjerson Helping Addicter. LREC 2012: 2158-2163 - [c22]Mark Fishel, Rico Sennrich, Maja Popovic, Ondrej Bojar:
TerrorCat: a Translation Error Categorization-based MT Quality Metric. WMT@NAACL-HLT 2012: 64-70 - [c21]Maja Popovic:
Class error rates for evaluation of machine translation output. WMT@NAACL-HLT 2012: 71-75 - [c20]Maja Popovic:
Morpheme- and POS-based IBM1 and language model scores for translation quality estimation. WMT@NAACL-HLT 2012: 133-137 - 2011
- [j2]Maja Popovic, Hermann Ney:
Towards Automatic Error Analysis of Machine Translation Output. Comput. Linguistics 37(4): 657-688 (2011) - [j1]Maja Popovic:
Hjerson: An Open Source Tool for Automatic Error Classification of Machine Translation Output. Prague Bull. Math. Linguistics 96: 59-68 (2011) - [c19]Maja Popovic, Aljoscha Burchardt:
From Human to Automatic Error Classification for Machine Translation Output. EAMT 2011 - [c18]David Vilar, Eleftherios Avramidis, Maja Popovic, Sabine Hunsicker:
DFKI's SC and MT submissions to IWSLT 2011. IWSLT 2011: 98-105 - [c17]Eleftherios Avramidis, Maja Popovic, David Vilar, Aljoscha Burchardt:
Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features. WMT@EMNLP 2011: 65-70 - [c16]Maja Popovic, David Vilar, Eleftherios Avramidis, Aljoscha Burchardt:
Evaluation without references: IBM1 scores as evaluation metrics. WMT@EMNLP 2011: 99-103 - [c15]Maja Popovic:
Morphemes and POS tags for n-gram based evaluation metrics. WMT@EMNLP 2011: 104-107
2000 – 2009
- 2009
- [c14]Maja Popovic, Hermann Ney:
Syntax-Oriented Evaluation Measures for Machine Translation Output. WMT@EACL 2009: 29-32 - [c13]Maja Popovic, David Vilar, Daniel Stein, Evgeny Matusov, Hermann Ney:
The RWTH Machine Translation System for WMT 2009. WMT@EACL 2009: 66-69 - 2007
- [c12]Maja Popovic, Hermann Ney:
Word Error Rates: Decomposition over POS classes and Applications for Error Analysis. WMT@ACL 2007: 48-55 - 2006
- [c11]Adrià de Gispert, Deepa Gupta, Maja Popovic, Patrik Lambert, José B. Mariño, Marcello Federico, Hermann Ney, Rafael E. Banchs:
Improving Statistical Word Alignments with Morpho-syntactic Transformations. FinTAL 2006: 368-379 - [c10]Maja Popovic, Daniel Stein, Hermann Ney:
Statistical Machine Translation of German Compound Words. FinTAL 2006: 616-624 - [c9]David Vilar, Maja Popovic, Hermann Ney:
AER: do we need to "improve" our alignments? IWSLT 2006: 205-212 - [c8]Maja Popovic, Hermann Ney:
POS-based Word Reorderings for Statistical Machine Translation. LREC 2006: 1278-1283 - [c7]Maja Popovic, Adrià de Gispert, Deepa Gupta, Patrik Lambert, Hermann Ney, José B. Mariño, Marcello Federico, Rafael E. Banchs:
Morpho-syntactic Information for Automatic Error Analysis of Statistical Machine Translation Output. WMT@HLT-NAACL 2006: 1-6 - 2005
- [c6]Maja Popovic, David Vilar, Hermann Ney, Slobodan Jovicic, Zoran Saric:
Augmenting a Small Parallel Text with Morpho-Syntactic Language. ParallelText@ACL 2005: 41-48 - [c5]Maja Popovic, Hermann Ney:
Exploiting phrasal lexica and additional morpho-syntactic language resources for statistical machine translation with scarce training data. EAMT 2005 - 2004
- [c4]Hermann Ney, Maja Popovic:
Improving Word Alignment Quality using Morpho-syntactic Information. COLING 2004 - [c3]Hermann Ney, Maja Popovic, David Sündermann:
Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging. EMNLP 2004: 270-276 - [c2]Evgeny Matusov, Maja Popovic, Richard Zens, Hermann Ney:
Statistical machine translation of spontaneous speech with scarce resources. IWSLT 2004: 139-146 - [c1]Maja Popovic, Hermann Ney:
Towards the Use of Word Stems and Suffixes for Statistical Machine Translation. LREC 2004
Coauthor Index
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