Martin Popel

Main Research Interests

MT (neural, syntax-based), Universal Dependencies, machine learning, deep learning, parsing, MT evaluation, treebanking

Projects

Grants: LUSyD, QT21, QTLeap, Manyla, Khresmoi, EuroMatrixPlus

Technical editor: The Prague Bulletin of Mathematical Linguistics and ÚFAL technical reports

Projects / Software / Data

• CUBBITT (neural machine translation, WMT2018–WMT2020 EN-CS winner, see my paper in Nature Communications)
• Udapi (NLP framework) [GitHub]
• Universal Dependencies
• MT-ComparEval a tool for comparison and evaluation of MT outputs. See wmt.ufal.cz for a live demo.

Older

• deep-syntactic TectoMT (MT system)
• Treex (NLP framework) [GitHub]
• HamleDT (harmonized dependency treebanks)

Curriculum Vitae

• 2019 visiting researcher in Microsoft Translator, Redmond, USA
• 2009–2018 Ph.D. degree in Mathematical Linguistics, ÚFAL MFF UK. Thesis: Machine Translation Using Syntactic Analysis (slides)
• 2007–2009 Master's degree in Mathematical Linguistics, with honours, MFF UK. Thesis: Ways to Improve the Quality of English-Czech Machine Translation
• 2003–2007 Bachelor's degree in Computer Science, MFF UK. Thesis: Animation of Algorithms from Automata Theory (in Czech)

Teaching

• NPFL095 Modern Methods in Computational Linguistics, see the web with schedule
• NPFL070 Language Data Resources (with Zdeněk Žabokrtský)
• NPFL118 Natural language processing on computational cluster

Selected Bibliography

https://orcid.org/0000-0002-3628-8419

Selected papers

• Martin Popel, Marketa Tomkova, Jakub Tomek, Łukasz Kaiser, Jakob Uszkoreit, Ondřej Bojar, Zdeněk Žabokrtský: Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals, Nature communications, 11, 4381 (2020).
• Martin Popel, Ondřej Bojar: Training Tips for the Transformer Model, The Prague Bulletin of Mathematical Linguistics, No. 104, 2018, pp. 43–70.
• Martin Popel: CUNI Transformer Neural MT System for WMT18 In Proceedings of WMT 2018, Brussels, Belgium, October 2018, pp. 486–491 [pdf]
• Martin Popel, Zdenek Žabokrtský, Martin Vojtek: Udapi: Universal API for Universal Dependencies In Proceedings of UDW 2017, Göteborg, Sweden, May 2017, pp. 96–101 [pdf] [slides]
• Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre et al.: CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies In Proceedings of CoNLL 2017, Vancouver, Canada, August 2017, pp. 1–19 [pdf]
• Roman Sudarikov, Martin Popel, Ondřej Bojar, Aljoscha Burchardt and Ondřej Klejch: Using MT-ComparEval In Proceedings of MT-Eval LREC 2016, Portorož, Slovenia, May 2016, pp. 76–82 [pdf] [slides]
• Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurelie Neveol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor and Marcos Zampieri: Findings of the 2016 Conference on Machine Translation In Proceedings of WMT 2016, Berlin, Germany, August 2016, pp. 131–198 [pdf] [slides]
• Martin Popel, David Mareček, Jan Štěpánek, Daniel Zeman, Zdeněk Žabokrtský: Coordination Structures in Dependency Treebanks In Proceedings of ACL 2013, Sofia, Bulgaria, August 5–7, 2013, pp. 517–527. [pdf] [poster]
• Ondřej Bojar, Miloš Ercegovčević, Martin Popel and Omar Zaidan: A Grain of Salt for the WMT Manual Evaluation. In Proceedings of WMT 2011, EMNLP 6th Workshop on Statistical Machine Translation, Edinburgh, UK, July 30, 2011, pp. 1–11. [pdf] presentation [pdf]
• Martin Popel, Zdeněk Žabokrtský: TectoMT: Modular NLP Framework. In Proceedings of IceTAL, 7th International Conference on Natural Language Processing, Reykjavík, Iceland, August 17, 2010, pp. 293–304. [pdf] presentation [pdf]
• Zdeněk Žabokrtský, Martin Popel: Hidden Markov Tree Model in Dependency-based Machine Translation. In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics, Singapore, 2009, pp. 145–148 [pdf] poster [ppt]

All papers

1. Petr Gebauer, Ondřej Bojar, Vojtěch Švandelík, Martin Popel (2021): CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT. In: Proceedings of the Sixth Conference on Machine Translation, pp. 123-129, Association for Computational Linguistics, Online, ISBN 978-1-954085-94-7 (url, local PDF, bibtex)
2. Věra Kloudová, Ondřej Bojar, Martin Popel (2021): Detecting Post-edited References and Their Effect on Human Evaluation. In: Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval), pp. 114-119, Association for Computational Linguistics, Stroudsburg, USA, ISBN 978-1-954085-10-7 (pdf, local PDF, bibtex)
3. Jakub Náplava, Martin Popel, Milan Straka, Jana Straková (2021): Understanding Model Robustness to User-generated Noisy Texts. In: Proceedings of the 7th Workshop on Noisy User-generated Text (W-NUT 2021), pp. 340-350, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-954085-90-9 (url, local PDF, bibtex)
4. Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Daniel Zeman (2021): Is one head enough? Mention heads in coreference annotations compared with UD-style heads. In: Proceedings of the Sixth International Conference on Dependency Linguistics (Depling, SyntaxFest 2021), pp. 101-114, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-955917-14-8 (pdf, local PDF, bibtex)
5. Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Daniel Zeman (2021): Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages (technical report). In: (pdf, local PDF, bibtex)
6. Martin Popel, Zdeněk Žabokrtský, Anna Nedoluzhko, Michal Novák, Daniel Zeman (2021): Do UD Trees Match Mention Spans in Coreference Annotations?. In: Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 3570-3576, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-955917-10-0 (url, local PDF, bibtex)
7. Vilém Zouhar, Aleš Tamchyna, Martin Popel, Ondřej Bojar (2021): Neural Machine Translation Quality and Post-Editing Performance. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 10204-10214, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-955917-09-4 (pdf, local PDF, bibtex)
8. Ulrich Germann, Roman Grundkiewicz, Martin Popel, Radina Dobreva, Nikolay Bogoychev, Kenneth Heafield (2020): Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task. In: Fifth Conference on Machine Translation - Proceedings of the Conference, pp. 191-196, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-81-0 (pdf, obd, bibtex)
9. Martin Popel (2020): CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training. In: Fifth Conference on Machine Translation - Proceedings of the Conference, pp. 269-273, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-81-0 (pdf, obd, bibtex)
10. Martin Popel, Marketa Tomkova, Jakub Tomek, Łukasz Kaiser, Jakob Uszkoreit, Ondřej Bojar, Zdeněk Žabokrtský (2020): Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals. In: Nature Communications, ISSN 2041-1723, vol. 11, no. 4381, pp. 1-15 (url, local PDF, obd, bibtex)
11. Jindřich Helcl, Jindřich Libovický, Martin Popel (2019): CUNI System for the WMT19 Robustness Task. In: Fourth Conference on Machine Translation - Proceedings of the Conference, pp. 738-742, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-950737-27-7 (url, local PDF, local PDF, obd, bibtex)
12. Martin Popel, Christian Federmann (2019): Domain Adaptation of Document-Level NMT in IWSLT19. In: Proceedings of the 16th International Workshop on Spoken Language Translation, pp. 1-7, Karlsruhe Institute of Technology, Karlsruhe, Germany (url, obd, bibtex)
13. Martin Popel, Dominik Macháček, Michal Auersperger, Ondřej Bojar, Pavel Pecina (2019): English-Czech Systems in WMT19: Document-Level Transformer. In: Fourth Conference on Machine Translation - Proceedings of the Conference, pp. 342-348, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-950737-27-7 (pdf, local PDF, obd, bibtex)
14. Jana Straková, Milan Straka, Jan Hajič, Martin Popel (2019): Hluboké učení v automatické analýze českého textu. In: Slovo a slovesnost, ISSN 0037-7031, vol. 80, no. 4, pp. 306-327 (obd, bibtex)
15. Jindřich Libovický, Rudolf Rosa, Jindřich Helcl, Martin Popel (2018): Solving Three Czech NLP Tasks End-to-End with Neural Models. In: Proceedings of the 18th conference ITAT 2018: Slovenskočeský NLP workshop (SloNLP 2018), pp. 138-143, CreateSpace Independent Publishing Platform, Košice, Slovakia, ISBN 978-1727267198 (pdf, local PDF, local PDF, obd, bibtex)
16. Martin Popel (2018): CUNI Transformer Neural MT System for WMT18. In: Proceedings of the Third Conference on Machine Translation, Volume 2: Shared Tasks, pp. 486-491, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-81-0 (pdf, obd, bibtex)
17. Martin Popel (2018): Machine Translation Using Syntactic Analysis (PhD thesis). In: (pdf, bibtex)
18. Martin Popel, Ondřej Bojar (2018): Training Tips for the Transformer Model. In: The Prague Bulletin of Mathematical Linguistics, ISSN 0032-6585, 110, pp. 43-70 (pdf, obd, bibtex)
19. Daniel Zeman, Jan Hajič, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, Slav Petrov (2018): CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In: Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 1-21, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-82-7 (pdf, local PDF, obd, bibtex)
20. Martin Popel, Zdeněk Žabokrtský, Martin Vojtek (2017): Udapi: Universal API for Universal Dependencies. In: NoDaLiDa 2017 Workshop on Universal Dependencies, pp. 96-101, Göteborgs universitet, Göteborg, Sweden, ISBN 978-91-7685-501-0 (pdf, obd, bibtex)
21. Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gökırmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajič, jr., Jaroslava Hlaváčová, Václava Kettnerová, Zdeňka Urešová, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, Héctor Martínez Alonso, Çağrı Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li (2017): CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 1-19, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-70-8 (pdf, local PDF, obd, bibtex)
22. Nora Aranberri, Eleftherios Avramidis, Aljoscha Burchardt, Ondřej Klejch, Martin Popel, Maja Popović (2016): Tools and Guidelines for Principled Machine Translation Development. In: Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), pp. 1877-1882, European Language Resources Association, Paris, France, ISBN 978-2-9517408-9-1 (pdf, local PDF, obd, bibtex)
23. Ondřej Bojar, Ondřej Dušek, Tom Kocmi, Jindřich Libovický, Michal Novák, Martin Popel, Roman Sudarikov, Dušan Variš (2016): CzEng 1.6: Enlarged Czech-English Parallel Corpus with Processing Tools Dockered. In: Text, Speech, and Dialogue: 19th International Conference, TSD 2016, Lecture Notes in Computer Science, ISSN 0302-9743, 9924, pp. 231-238, Springer International Publishing, Cham / Heidelberg / New York / Dordrecht / London, ISBN 978-3-319-45509-9 (url, obd, bibtex)
24. Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurelie Névéol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, Marcos Zampieri (2016): Findings of the 2016 Conference on Machine Translation (WMT16). In: Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers, pp. 131-198, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-10-4 (pdf, obd, bibtex)
25. Rosa Gaudio, Gorka Labaka, Eneko Agirre, Petya Osenova, Kiril Simov, Martin Popel, Dieke Oele, Gertjan van Noord, Luís Gomes, João António Rodrigues, Steven Neale, João Silva, Andreia Querido, Nuno Rendeiro, António Branco (2016): SMT and Hybrid systems of the QTLeap project in the WMT16 IT-task. In: Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers, pp. 435-441, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-10-4 (pdf, obd, bibtex)
26. Arantxa Otegi, Nora Aranberri, António Branco, Jan Hajič, Steven Neale, Petya Osenova, Rita Pereira, Martin Popel, João Silva, Kiril Simov, Eneko Agirre (2016): QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages. In: Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), pp. 3023-3030, European Language Resources Association, Paris, France, ISBN 978-2-9517408-9-1 (obd, bibtex)
27. Martin Popel, Roman Sudarikov, Ondřej Bojar, Rudolf Rosa, Jan Hajič (2016): TectoMT – a deep-­linguistic core of the combined Chimera MT system. In: Baltic Journal of Modern Computing, ISSN 2255-8942, vol. 4, no. 2, pp. 377-377 (pdf, local PDF, local PDF, local PDF, obd, bibtex)
28. Rudolf Rosa, Martin Popel, Ondřej Bojar, David Mareček, Ondřej Dušek (2016): Moses & Treex Hybrid MT Systems Bestiary. In: Proceedings of the 2nd Deep Machine Translation Workshop, pp. 1-10, ÚFAL MFF UK, Praha, Czechia, ISBN 978-80-88132-02-8 (url, local PDF, local PDF, obd, bibtex)
29. Rudolf Rosa, Roman Sudarikov, Michal Novák, Martin Popel, Ondřej Bojar (2016): Dictionary-based Domain Adaptation of MT Systems without Retraining. In: Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers, pp. 449-455, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-10-4 (pdf, obd, bibtex)
30. Roman Sudarikov, Martin Popel, Ondřej Bojar, Aljoscha Burchardt, Ondřej Klejch (2016): Using MT-ComparEval. In: Translation Evaluation: From Fragmented Tools and Data Sets to an Integrated Ecosystem, pp. 76-82, LREC, Portorož, Slovenia (pdf, obd, bibtex)
31. Ondřej Dušek, Eva Fučíková, Jan Hajič, Martin Popel, Jana Šindlerová, Zdeňka Urešová (2015): Using Parallel Texts and Lexicons for Verbal Word Sense Disambiguation. In: Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015), pp. 82-90, Uppsala University, Uppsala, Sweden, ISBN 978-91-637-8965-6 (pdf, local PDF, obd, bibtex)
32. Ondřej Dušek, Luís Gomes, Michal Novák, Martin Popel, Rudolf Rosa (2015): New Language Pairs in TectoMT. In: Proceedings of the 10th Workshop on Machine Translation, pp. 98-104, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-941643-32-7 (pdf, local PDF, obd, bibtex)
33. Ondřej Klejch, Eleftherios Avramidis, Aljoscha Burchardt, Martin Popel (2015): MT-ComparEval: Graphical evaluation interface for Machine Translation development. In: The Prague Bulletin of Mathematical Linguistics, ISSN 0032-6585, 104, pp. 63-74 (pdf, obd, bibtex)
34. Rudolf Rosa, Ondřej Dušek, Michal Novák, Martin Popel (2015): Translation Model Interpolation for Domain Adaptation in TectoMT. In: Proceedings of the 1st Deep Machine Translation Workshop, pp. 89-96, ÚFAL MFF UK, Praha, Czechia, ISBN 978-80-904571-7-1 (url, local PDF, local PDF, obd, bibtex)
35. Pavel Pecina, Ondřej Dušek, Lorraine Goeuriot, Jan Hajič, Jaroslava Hlaváčová, Gareth J.F. Jones, Liadh Kelly, Johannes Leveling, David Mareček, Michal Novák, Martin Popel, Rudolf Rosa, Aleš Tamchyna, Zdeňka Urešová (2014): Adaptation of machine translation for multilingual information retrieval in medical domain. In: Artificial Intelligence in Medicine, ISSN 0933-3657, vol. 61, no. 3, pp. 165-185 (url, obd, bibtex)
36. Rudolf Rosa, Jan Mašek, David Mareček, Martin Popel, Daniel Zeman, Zdeněk Žabokrtský (2014): HamleDT 2.0: Thirty Dependency Treebanks Stanfordized. In: Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014), pp. 2334-2341, European Language Resources Association, Reykjavík, Iceland, ISBN 978-2-9517408-8-4 (pdf, local PDF, local PDF, obd, bibtex)
37. Aleš Tamchyna, Martin Popel, Rudolf Rosa, Ondřej Bojar (2014): CUNI in WMT14: Chimera Still Awaits Bellerophon. In: Proceedings of the Ninth Workshop on Statistical Machine Translation, pp. 195-200, Association for Computational Linguistics, Baltimore, MD, USA, ISBN 978-1-941643-17-4 (pdf, local PDF, local PDF, obd, bibtex)
38. Daniel Zeman, Ondřej Dušek, David Mareček, Martin Popel, Loganathan Ramasamy, Jan Štěpánek, Zdeněk Žabokrtský, Jan Hajič (2014): HamleDT: Harmonized Multi-Language Dependency Treebank. In: Language Resources and Evaluation, ISSN 1574-020X, vol. 48, no. 4, pp. 601-637 (url, local PDF, obd, bibtex)
39. Niraj Aswani, Thomas Beckers, Erich Birngruber, Célia Boyer, Andreas Burner, Jakub Bystroň, Khalid Choukri, Sarah Cruchet, Hamish Cunningham, Jan Dědek, Ljiljana Dolamic, René Donner, Ondřej Dušek, Sebastian Dungs, Ivan Eggel, Antonio Foncubierta, Norbert Fuhr, Adam Funk, Alba García Seco de Herrera, Arnaud Gaudinat, Georgi Georgiev, Julien Gobeill, Lorraine Goeuriot, Paz Gomez, Mark A. Greenwood, Manfred Gschwandtner, Allan Hanbury, Jan Hajič, Jaroslava Hlaváčová, Markus Holzer, Gareth J.F. Jones, Blanca Jordán, Matthias Jordan, Klemens Kaderk, Franz Kainberger, Liadh Kelly, Sascha Kriewel, Marlene Kritz, Georg Langs, Nolan Lawson, Johannes Leveling, David Mareček, Dimitrios Markonis, Iván Martínez, Vassil Momtchev, Alexandre Masselot, Hélène Mazo, Henning Müller, Michal Novák, Johann Petrak, João Palotti, Pavel Pecina, Konstantin Pentchev, Deyan Peychev, Natalia Pletneva, Martin Popel, Diana Pottecher, Angus Roberts, Rudolf Rosa, Patrick Ruch, Alexander Sachs, Matthias Samwald, Priscille Schneller, Veronika Stefanov, Aleš Tamchyna, Miguel Angel Tinte, Zdeňka Urešová, Alejandro Vargas, Dina Vishnyakova (2013): Khresmoi Professional: Multilingual Semantic Search for Medical Professionals. In: Proceedings of the ACM SIGIR Workshop on Health Search and Discovery: Helping Users and Advancing Medicine, pp. 31-34, Microsoft Research, Cambridge, UK (url, local PDF, obd, bibtex)
40. Petra Galuščáková, Martin Popel, Ondřej Bojar (2013): PhraseFix: Statistical Post-Editing of TectoMT. In: Proceedings of the Eight Workshop on Statistical Machine Translation, pp. 141-147, Association for Computational Linguistics, Sofija, Bulgaria, ISBN 978-1-937284-57-2 (obd, bibtex)
41. David Mareček, Martin Popel, Loganathan Ramasamy, Jan Štěpánek, Daniel Zeman, Zdeněk Žabokrtský, Jan Hajič (2013): Cross-language Study on Influence of Coordination Style on Dependency Parsing Performance (technical report). In: (pdf, local PDF, bibtex)
42. Martin Popel, David Mareček, Jan Štěpánek, Daniel Zeman, Zdeněk Žabokrtský (2013): Coordination Structures in Dependency Treebanks. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp. 517-527, Association for Computational Linguistics, Sofija, Bulgaria, ISBN 978-1-937284-50-3 (pdf, local PDF, local PDF, local PDF, obd, bibtex)
43. Ondřej Bojar, Zdeněk Žabokrtský, Ondřej Dušek, Petra Galuščáková, Martin Majliš, David Mareček, Jiří Maršík, Michal Novák, Martin Popel, Aleš Tamchyna (2012): The Joy of Parallelism with CzEng 1.0. In: Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012), pp. 3921-3928, European Language Resources Association, İstanbul, Turkey, ISBN 978-2-9517408-7-7 (url, local PDF, obd, bibtex)
44. Ondřej Dušek, Zdeněk Žabokrtský, Martin Popel, Martin Majliš, Michal Novák, David Mareček (2012): Formemes in English-Czech Deep Syntactic MT. In: Proceedings of the Seventh Workshop on Statistical Machine Translation, pp. 267-274, Association for Computational Linguistics, Montréal, Canada, ISBN 978-1-937284-20-6 (pdf, local PDF, obd, bibtex)
45. Rudolf Rosa, Ondřej Dušek, David Mareček, Martin Popel (2012): Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors. In: Proceedings of Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation (SSST-6), ACL, pp. 39-48, Association for Computational Linguistics, Jeju, Korea, ISBN 978-1-937284-38-1 (pdf, local PDF, local PDF, obd, bibtex)
46. Daniel Zeman, David Mareček, Martin Popel, Loganathan Ramasamy, Jan Štěpánek, Zdeněk Žabokrtský, Jan Hajič (2012): HamleDT: To Parse or Not to Parse?. In: Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012), pp. 2735-2741, European Language Resources Association, İstanbul, Turkey, ISBN 978-2-9517408-7-7 (url, local PDF, local PDF, obd, bibtex)
47. Ondřej Bojar, Miloš Ercegovčević, Martin Popel, Omar F. Zaidan (2011): A Grain of Salt for the WMT Manual Evaluation. In: Proceedings of the Sixth Workshop on Statistical Machine Translation, pp. 1-11, Association for Computational Linguistics, Edinburgh, UK, ISBN 978-1-937284-12-1 (pdf, local PDF, local PDF, obd, bibtex)
48. Martin Popel, David Mareček, Nathan David Green, Zdeněk Žabokrtský (2011): Influence of Parser Choice on Dependency-Based MT. In: Proceedings of the Sixth Workshop on Statistical Machine Translation, pp. 433-439, Association for Computational Linguistics, Edinburgh, UK, ISBN 978-1-937284-12-1 (obd, bibtex)
49. David Mareček, Martin Popel, Zdeněk Žabokrtský (2010): Maximum Entropy Translation Model in Dependency-Based MT Framework. In: Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, pp. 201-201, Association for Computational Linguistics, Uppsala, Sweden, ISBN 978-1-932432-71-8 (pdf, obd, bibtex)
50. Martin Popel (2010): English-Czech Machine Translation Using TectoMT. In: WDS 2010 Proceedings of Contributed Papers, pp. 88-93, Matfyzpress, Charles University, Praha, Czechia, ISBN 978-80-7378-139-2 (pdf, local PDF, obd, bibtex)
51. Martin Popel, David Mareček (2010): Perplexity of n-gram and Dependency Language Models. In: Text, Speech and Dialogue. 13th International Conference, TSD 2010, Brno, Czech Republic, September 6-10, 2010. Proceedings, Lecture Notes in Computer Science, ISSN 0302-9743, 6231, pp. 173-180, Springer, Berlin / Heidelberg, ISBN 978-3-642-15759-2 (local PDF, local PDF, obd, bibtex)
52. Martin Popel, Zdeněk Žabokrtský (2010): TectoMT: Modular NLP Framework. In: Proceedings of the 7th International Conference on Advances in Natural Language Processing (IceTAL 2010), Lecture Notes in Computer Science, ISSN 0302-9743, 6233, pp. 293-304, Springer, Berlin / Heidelberg, ISBN 978-3-642-14769-2 (local PDF, local PDF, obd, bibtex)
53. Ondřej Bojar, David Mareček, Václav Novák, Martin Popel, Jan Ptáček, Jan Rouš, Zdeněk Žabokrtský (2009): English-Czech MT in 2008. In: Proceedings of the Fourth Workshop on Statistical Machine Translation, pp. 125-129, Association for Computational Linguistics, Athina, Greece (pdf, local PDF, bibtex)
54. Martin Popel (2009): Ways to Improve the Quality of English-Czech Machine Translation (masters thesis). In: (pdf, local PDF, bibtex)
55. Martin Popel, Zdeněk Žabokrtský (2009): Improving English-Czech Tectogrammatical MT. In: The Prague Bulletin of Mathematical Linguistics, ISSN 0032-6585, 92, pp. 1-20 (pdf, bibtex)
56. Zdeněk Žabokrtský, Martin Popel (2009): Hidden Markov Tree Model in Dependency-based Machine Translation. In: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pp. 145-148, Association for Computational Linguistics, Suntec, Singapore, ISBN 978-1-932432-61-9 (pdf, local PDF, obd, bibtex)

For citations see Google Scholar or ORCID.

Students

• 2010–2011 Master student Amir Kamran (Hybrid MT Approaches for Low-Resource Languages)
• 2011–2012 Bachelor student Michal Koutný (Word prediction using language models)
• 2011–2013 Bachelor student Ondřej Klejch (Tool for comparison and evaluation of machine translation), see wmt.ufal.cz 
• 2012–2013 Bachelor student Michal Sedlák (Web Interface for the Treex Framework), see Treex::Web
• 2018–2019 Master student Meisyarah Dwiastuti (Indonesian-English Neural Machine Translation)