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Institute of Formal and Applied Linguistics


Charles University, Czech Republic
Faculty of Mathematics and Physics

ÚFAL
Martin Popel

  1. Massimo Poesio, Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Amir Zeldes, Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Daniel Zeman (2024): Universal Anaphora: The First Three Years. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 17087-17100, European Language Resources Association, Torino, Italy, ISBN 978-2-493814-10-4 (pdf, local PDF, bibtex)
  2. Martin Popel, Lucie Poláková, Michal Novák, Jindřich Helcl, Jindřich Libovický, Pavel Straňák, Tomáš Krabač, Jaroslava Hlaváčová, Mariia Anisimova, Tereza Chlaňová (2024): Charles Translator: A Machine Translation System between Ukrainian and Czech. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 3038-3045, European Language Resources Association, Torino, Italy, ISBN 978-2-493814-10-4 (pdf, local PDF, bibtex)
  3. Vilém Zouhar, Věra Kloudová, Martin Popel, Ondřej Bojar (2024): Evaluating Optimal Reference Translations. In: Natural Language Processing, ISSN 1351-3249, 2024, pp. 1-24 (url, bibtex)
  4. Josef Jon, Martin Popel, Ondřej Bojar (2023): CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm. In: Proceedings of the Eighth Conference on Machine Translation, pp. 119-127, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 979-8-89176-041-7 (pdf, bibtex)
  5. Věra Kloudová, David Mraček, Ondřej Bojar, Martin Popel (2023): Možnosti a meze tvorby tzv. optimálních referenčních překladů: po stopách „překladatelštiny“ v profesionálních překladech zpravodajských textů. In: Slovo a slovesnost, ISSN 0037-7031, vol. 84, no. 2, pp. 122-156 (url, bibtex)
  6. Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondřej 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 Popović, Mariya Shmatova (2023): Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. In: Proceedings of the Eighth Conference on Machine Translation, pp. 1-42, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 979-8-89176-041-7 (url, bibtex)
  7. Inguna Skadina, Andrejs Vasiljevs, Marcis Pinnis, Aivars Bērziņš, Nora Aranberri, Joachim van den Bogoaert, Sally O’Connor, Mercedes García-Martínez, Iakes Goenaga, Jan Hajič, Manuel Herranz, Christian Lieske, Martin Popel, Maja Popović, Sheila Castilho, Federico Gaspari, Rudolf Rosa, Riccardo Superbo, Andy Way (2023): Deep Dive Machine Translation. In: European Language Equality - A Strategic Agenda for Digital Language Equality, pp. 263-288, Springer Nature Switzerland AG, Cham, Switzerland, ISBN 978-3-031-28819-7 (url, bibtex)
  8. Zdeněk Žabokrtský, Miloslav Konopík, Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk, Martin Popel, Ondřej Pražák, Jakub Sido, Daniel Zeman (2023): Findings of the Second Shared Task on Multilingual Coreference Resolution. In: Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution, pp. 1-18, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-955917-02-5 (pdf, local PDF, bibtex)
  9. Rachel Bawden, Ondřej Bojar, Rajen Chatterjee, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Matthias Huck, Rebecca Knowles, Tom Kocmi, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Michal Novák, Martin Popel, Maja Popović, Mariya Shmatova, Marco Turchi (2022): Findings of the 2022 Conference on Machine Translation (WMT22). In: Proceedings of the Seventh Conference on Machine Translation, pp. 1-34, Association for Computational Linguistics, Stroudsburg, PA, USA (pdf, local PDF, bibtex)
  10. Josef Jon, Martin Popel, Ondřej Bojar (2022): CUNI-Bergamot Submission at WMT22 General Task. In: Proceedings of the Seventh Conference on Machine Translation, pp. 280-289, Association for Computational Linguistics, Stroudsburg, PA, USA (pdf, local PDF, bibtex)
  11. Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Amir Zeldes, Daniel Zeman (2022): CorefUD 1.0: Coreference Meets Universal Dependencies. In: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pp. 4859-4872, European Language Resources Association, Marseille, France, ISBN 979-10-95546-72-6 (pdf, bibtex)
  12. Martin Popel, Jindřich Libovický, Jindřich Helcl (2022): CUNI Systems for the WMT 22 Czech-Ukrainian Translation Task. In: Proceedings of the Seventh Conference on Machine Translation, pp. 352-357, Association for Computational Linguistics, Stroudsburg, PA, USA (pdf, local PDF, bibtex)
  13. Zdeněk Žabokrtský, Miloslav Konopík, Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk, Martin Popel, Ondřej Pražák, Jakub Sido, Daniel Zeman, Yilun Zhu (2022): Findings of the Shared Task on Multilingual Coreference Resolution. In: Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution, pp. 1-17, Association for Computational Linguistics, Gyeongju, Korea (url, local PDF, local PDF, bibtex)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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, bibtex)
  22. Tom Kocmi, Martin Popel, Ondřej Bojar (2020): Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords (technical report). In: , pp. 1-6 (pdf, bibtex)
  23. 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, bibtex)
  24. 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, bibtex)
  25. 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, bibtex)
  26. 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, bibtex)
  27. 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, bibtex)
  28. 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 (bibtex)
  29. 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, bibtex)
  30. 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, bibtex)
  31. Martin Popel (2018): Machine Translation Using Syntactic Analysis (PhD thesis). In: (pdf, bibtex)
  32. 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, bibtex)
  33. 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, bibtex)
  34. 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, bibtex)
  35. 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, bibtex)
  36. 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, bibtex)
  37. 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, bibtex)
  38. 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, bibtex)
  39. 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 Ricardo 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, bibtex)
  40. Arantxa Otegi, Nora Aranberri, António Branco, Jan Hajič, Steven Neale, Petya Osenova, Rita Pereira, Martin Popel, João Ricardo 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 (bibtex)
  41. 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, bibtex)
  42. 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, bibtex)
  43. 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, bibtex)
  44. 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, bibtex)
  45. 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, bibtex)
  46. 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, bibtex)
  47. 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, bibtex)
  48. 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, bibtex)
  49. 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, bibtex)
  50. 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, bibtex)
  51. 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, bibtex)
  52. 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, bibtex)
  53. 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, bibtex)
  54. 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 (bibtex)
  55. 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)
  56. 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, bibtex)
  57. 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, bibtex)
  58. 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, bibtex)
  59. 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, bibtex)
  60. 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, bibtex)
  61. 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, bibtex)
  62. 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 (bibtex)
  63. 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, bibtex)
  64. 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, bibtex)
  65. 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, bibtex)
  66. 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, bibtex)
  67. 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)
  68. Martin Popel (2009): Ways to Improve the Quality of English-Czech Machine Translation (masters thesis). In: (pdf, local PDF, bibtex)
  69. 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)
  70. 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, bibtex)

Publications of my colleagues

john:

  1. Abishek Stephen, Vojtěch John, Zdeněk Žabokrtský (2024): Unsupervised Extraction of Morphological Categories for Morphemes. In: 27th International Conference on Text, Speech and Dialogue, pp. 239-251, Springer, Cham, Switzerland, ISBN 978-3-031-70563-2 (url, bibtex)
  2. Vojtěch John, Magda Ševčíková, Zdeněk Žabokrtský (2023): Identification of root morphs in morphologically segmented data. In: The Fourth International Workshop on Resources and Tools for Derivational Morphology , pp. 23-32, Croatian Language Technology Society, Zagreb, Croatia, ISBN 978-953-55375-5-7 (pdf, bibtex)
  3. Vojtěch John, Zdeněk Žabokrtský (2023): The Unbearable Lightness of Morph Classification. In: 26th International Conference, TSD 2023, pp. 105-115, Springer, Cham, Switzerland, ISBN 978-3-031-40497-9 (url, bibtex)

vico Biblio content for 'vico' not available

nkumar

Biblio content for 'nkumar' not available

novak

  1. Massimo Poesio, Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Amir Zeldes, Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Daniel Zeman (2024): Universal Anaphora: The First Three Years. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 17087-17100, European Language Resources Association, Torino, Italy, ISBN 978-2-493814-10-4 (pdf, local PDF, bibtex)
  2. Martin Popel, Lucie Poláková, Michal Novák, Jindřich Helcl, Jindřich Libovický, Pavel Straňák, Tomáš Krabač, Jaroslava Hlaváčová, Mariia Anisimova, Tereza Chlaňová (2024): Charles Translator: A Machine Translation System between Ukrainian and Czech. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 3038-3045, European Language Resources Association, Torino, Italy, ISBN 978-2-493814-10-4 (pdf, local PDF, bibtex)
  3. Barbora Štěpánková, Lucie Poláková, Jana Šindlerová, Michal Novák (2024): What Can Dictionaries Tell Us About Pragmatic Markers – Building the Lexicon of Epistemic and Evidential Markers in Czech. In: Lexicography and Semantics. Proceedings of the XXI EURALEX International Congress., pp. 728-741, Institut za hrvatski jezik, Zagreb, Croatia, ISBN 978-953-7967-77-2 (pdf, bibtex)
  4. Josef Jon, Dušan Variš, Michal Novák, Joao Paulo Aires, Ondřej Bojar (2023): Negative Lexical Constraints in Neural Machine Translation. In: Proceedings of Machine Translation Summit XIX vol. 1: Research Track, pp. 372-384, Asia-Pacific Association for Machine Translation (AAMT), Kyoto, Japan, ISBN 978-4-9913461-0-1 (pdf, bibtex)
  5. Juntao Yu, Michal Novák, Abdulrahman Aloraini, Nafise Sadat Moosavi, Silviu Paun, Sameer Pradhan, Massimo Poesio (2023): The Universal Anaphora Scorer 2.0. In: Proceedings of the 15th International Conference on Computational Semantics, pp. 183-194, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-959429-74-6 (url, bibtex)
  6. Zdeněk Žabokrtský, Miloslav Konopík, Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk, Martin Popel, Ondřej Pražák, Jakub Sido, Daniel Zeman (2023): Findings of the Second Shared Task on Multilingual Coreference Resolution. In: Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution, pp. 1-18, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-955917-02-5 (pdf, local PDF, bibtex)
  7. Rachel Bawden, Ondřej Bojar, Rajen Chatterjee, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Matthias Huck, Rebecca Knowles, Tom Kocmi, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Michal Novák, Martin Popel, Maja Popović, Mariya Shmatova, Marco Turchi (2022): Findings of the 2022 Conference on Machine Translation (WMT22). In: Proceedings of the Seventh Conference on Machine Translation, pp. 1-34, Association for Computational Linguistics, Stroudsburg, PA, USA (pdf, local PDF, bibtex)
  8. Pavel Kasík, Jindřich Libovický, Jindřich Helcl, Michal Novák (2022): Český překladač se naučil ukrajinsky rychle. Jen někdy plete jména měst. In: Seznam Zprávy, pp. 1-2 (url, bibtex)
  9. Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Amir Zeldes, Daniel Zeman (2022): CorefUD 1.0: Coreference Meets Universal Dependencies. In: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pp. 4859-4872, European Language Resources Association, Marseille, France, ISBN 979-10-95546-72-6 (pdf, bibtex)
  10. Zdeněk Žabokrtský, Miloslav Konopík, Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk, Martin Popel, Ondřej Pražák, Jakub Sido, Daniel Zeman, Yilun Zhu (2022): Findings of the Shared Task on Multilingual Coreference Resolution. In: Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution, pp. 1-17, Association for Computational Linguistics, Gyeongju, Korea (url, local PDF, local PDF, bibtex)
  11. Josef Jon, Michal Novák, João Paulo de Souza Aires, Dušan Variš, Ondřej Bojar (2021): CUNI systems for WMT21: Terminology translation Shared Task. In: Proceedings of the Sixth Conference on Machine Translation, pp. 828-834, Association for Computational Linguistics, Online, ISBN 978-1-954085-94-7 (url, local PDF, bibtex)
  12. Josef Jon, Michal Novák, João Paulo de Souza Aires, Dušan Variš, Ondřej Bojar (2021): CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task. In: Proceedings of the Sixth Conference on Machine Translation, pp. 354-361, Association for Computational Linguistics, Online, ISBN 978-1-954085-94-7 (url, local PDF, bibtex)
  13. 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)
  14. 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)
  15. 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)
  16. Vilém Zouhar, Michal Novák, Matúš Žilinec, Ondřej Bojar, Mateo Obregón, Robin L. Hill, Frédéric Blain, Marina Fomicheva, Lucia Specia, Lisa Yankovskaya (2021): Backtranslation Feedback Improves User Confidence in MT, Not Quality. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 151-161, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-954085-46-6 (url, local PDF, bibtex)
  17. Vilém Zouhar, Michal Novák (2020): Extending Ptakopět for Machine Translation User Interaction Experiments. In: The Prague Bulletin of Mathematical Linguistics, ISSN 0032-6585, 115, pp. 129-142 (pdf, local PDF, bibtex)
  18. Michal Novák, Jiří Mírovský, Kateřina Rysová, Magdaléna Rysová (2019): Exploiting Large Unlabeled Data in Automatic Evaluation of Coherence in Czech. In: Proceedings of the 22nd International Conference on Text, Speech and Dialogue - TSD 2019, Lecture Notes in Computer Science, ISSN 0302-9743, 11697, pp. 197-210, Springer International Publishing, Cham / Heidelberg / New York / Dordrecht / London, ISBN 978-3-030-27946-2 (url, bibtex)
  19. Kateřina Rysová, Magdaléna Rysová, Michal Novák, Jiří Mírovský, Eva Hajičová (2019): EVALD – a Pioneer Application for Automated Essay Scoring in Czech. In: The Prague Bulletin of Mathematical Linguistics, ISSN 0032-6585, 113, pp. 9-30 (url, local PDF, bibtex)
  20. Magdaléna Rysová, Kateřina Rysová, Jiří Mírovský, Michal Novák (2019): Coherence Errors in Learners’ Essays and a Possibility of Their Improvement through EVALD (Automated Evaluator of Discourse). In: Proceedings of the 11th Annual International Conference on Education and New Learning Technologies (EDULEARN 2019), pp. 6761-6768, IATED Academy, Palma, Spain, ISBN 978-84-09-12031-4 (url, bibtex)
  21. Tereza Vojtěchová, Michal Novák, Miloš Klouček, Ondřej Bojar (2019): SAO WMT19 Test Suite: Machine Translation of Audit Reports. In: Fourth Conference on Machine Translation - Proceedings of the Conference, pp. 680-692, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-950737-27-7 (url, bibtex)
  22. Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk (2018): Analysis of coreferential expressions in PAWS. In: Computational Linguistics and Intellectual Technologies, ISSN 2221-7932, vol. 2018, no. 17, 2018, pp. 512-521 (pdf, bibtex)
  23. Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk (2018): PAWS: A Multi-lingual Parallel Treebank with Anaphoric Relations. In: Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference, pp. 68-76, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-13-1 (url, bibtex)
  24. Michal Novák (2018): Coreference from the Cross-lingual Perspective. In: , ISBN 978-80-88132-06-6 (bibtex)
  25. Michal Novák (2018): A Study on Bilingually Informed Coreference Resolution. In: Proceedings of the 18th conference ITAT 2018: Slovenskočeský NLP workshop (SloNLP 2018), pp. 130-137, CreateSpace Independent Publishing Platform, Košice, Slovakia, ISBN 978-1727267198 (pdf, bibtex)
  26. Michal Novák (2018): Coreference from the Cross-lingual Perspective (PhD thesis). In: (url, local PDF, bibtex)
  27. Michal Novák (2018): A Fine-grained Large-scale Analysis of Coreference Projection. In: Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference, pp. 77-86, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-948087-13-1 (url, bibtex)
  28. Michal Novák, Jiří Mírovský, Kateřina Rysová, Magdaléna Rysová (2018): Topic–Focus Articulation: A Third Pillar of Automatic Evaluation of Text Coherence. In: Advances in Computational Intelligence (LNAI 11289): 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings, Part II, pp. 92-105, Springer, Switzerland, ISBN 978-3-030-04497-8 (url, bibtex)
  29. Magdaléna Rysová, Kateřina Rysová, Jiří Mírovský, Michal Novák (2018): Practicing Students‘ Writing Skills through eLearning: Automated Evaluation of Text Coherence in Czech. In: EDULEARN18 Proceedings, pp. 1963-1970, IATED Academy, Valencia, Spain, ISBN 978-84-09-02709-5 (url, bibtex)
  30. Michal Novák (2017): Coreference Resolution System Not Only for Czech. In: Proceedings of the 17th conference ITAT 2017: Slovenskočeský NLP workshop (SloNLP 2017), pp. 193-200, CreateSpace Independent Publishing Platform, Praha, Czechia, ISBN 978-1974274741 (pdf, bibtex)
  31. Michal Novák, Anna Nedoluzhko, Zdeněk Žabokrtský (2017): Projection-based Coreference Resolution Using Deep Syntax. In: Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017), pp. 56-64, Association for Computational Linguistics (ACL), Stroudsburg, PA, USA, ISBN 978-1-945626-46-3 (pdf, bibtex)
  32. Michal Novák, Kateřina Rysová, Magdaléna Rysová, Jiří Mírovský (2017): Incorporating Coreference to Automatic Evaluation of Coherence in Essays. In: Statistical Language and Speech Processing, pp. 58-69, Springer International Publishing, Cham, Switzerland, ISBN 978-3-319-68455-0 (pdf, local PDF, bibtex)
  33. Kateřina Rysová, Magdaléna Rysová, Jiří Mírovský, Michal Novák (2017): Introducing EVALD – Software Applications for Automatic Evaluation of Discourse in Czech. In: Proceedings of the International Conference Recent Advances in Natural Language Processing, pp. 634-641, INCOMA Ltd., Šumen, Bulgaria, ISBN 978-954-452-048-9 (pdf, bibtex)
  34. 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, bibtex)
  35. Anna Nedoluzhko, Michal Novák, Silvie Cinková, Marie Mikulová, Jiří Mírovský (2016): Coreference in Prague Czech-English Dependency Treebank. In: Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), pp. 169-176, European Language Resources Association, Paris, France, ISBN 978-2-9517408-9-1 (url, local PDF, bibtex)
  36. Anna Nedoluzhko, Anna Schwarz (Khoroshkina), Michal Novák (2016): Possessives in Parallel English‑Czech-Russian Texts. In: Computational Linguistics and Intellectual Technologies, ISSN 2221-7932, 15, pp. 483-497 (pdf, local PDF, bibtex)
  37. Michal Novák (2016): Pronoun Prediction with Linguistic Features and Example Weighing. In: Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers, pp. 602-608, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-10-4 (pdf, bibtex)
  38. 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, bibtex)
  39. 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, bibtex)
  40. Anna Nedoluzhko, Svetlana Toldova, Michal Novák (2015): Coreference chains in Czech, English and Russian: Preliminary findings. In: Computational Linguistics and Intellectual Technologies, ISSN 2221-7932, vol. 14, no. 21, pp. 474-486 (pdf, bibtex)
  41. Michal Novák, Anna Nedoluzhko (2015): Correspondences between Czech and English Coreferential Expressions. In: Discours: Revue de linguistique, psycholinguistique et informatique., ISSN 1963-1723, 16, pp. 1-41 (url, bibtex)
  42. Michal Novák, Dieke Oele, Gertjan van Noord (2015): Comparison of Coreference Resolvers for Deep Syntax Translation. In: Proceedings of the Second Workshop on Discourse in Machine Translation, pp. 17-23, Association for Computational Linguistics, Lisboa, Portugal, ISBN 978-1-941643-32-7 (url, bibtex)
  43. 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, bibtex)
  44. Ondřej Dušek, Jan Hajič, Jaroslava Hlaváčová, Michal Novák, Pavel Pecina, Rudolf Rosa, Aleš Tamchyna, Zdeňka Urešová, Daniel Zeman (2014): Machine Translation of Medical Texts in the Khresmoi Project. In: Proceedings of the Ninth Workshop on Statistical Machine Translation, pp. 221-228, Association for Computational Linguistics, Baltimore, MD, USA, ISBN 978-1-941643-17-4 (pdf, local PDF, local PDF, bibtex)
  45. Michal Novák, Zdeněk Žabokrtský (2014): Cross-lingual Coreference Resolution of Pronouns. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pp. 14-24, Dublin City University and Association for Computational Linguistics, Dublin, Ireland, ISBN 978-1-941643-26-6 (pdf, bibtex)
  46. 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, bibtex)
  47. 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, bibtex)
  48. Anna Nedoluzhko, Jiří Mírovský, Michal Novák (2013): A Coreferentially annotated Corpus and Anaphora Resolution for Czech. In: Computational Linguistics and Intellectual Technologies, pp. 467-475, ABBYY, Moskva, Russia, ISBN 978-1-937284-58-9 (local PDF, bibtex)
  49. Michal Novák, Anna Nedoluzhko, Zdeněk Žabokrtský (2013): Translation of "It" in a Deep Syntax Framework. In: 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Workshop on Discourse in Machine Translation, pp. 51-59, Omnipress, Inc., Sofija, Bulgaria, ISBN 978-1-937284-68-8 (pdf, bibtex)
  50. Michal Novák, Zdeněk Žabokrtský, Anna Nedoluzhko (2013): Two Case Studies on Translating Pronouns in a Deep Syntax Framework. In: Proceedings of the 6th International Joint Conference on Natural Language Processing, pp. 1037-1041, Asian Federation of Natural Language Processing, Nagoya, Japan, ISBN 978-4-9907348-0-0 (pdf, bibtex)
  51. 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, bibtex)
  52. 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, bibtex)
  53. Kateřina Veselovská, Giang Linh Nguy, Michal Novák (2012): Using Czech-English Parallel Corpora in Automatic Identification of It. In: The Fifth Workshop on Building and Using Comparable Corpora, pp. 112-120, European Language Resources Association, İstanbul, Turkey (local PDF, bibtex)
  54. Giang Linh Nguy, Michal Novák, Anna Nedoluzhko (2011): Coreference Resolution in the Prague Dependency Treebank (technical report). In: , pp. 1-66 (pdf, bibtex)
  55. Michal Novák (2011): Utilization of Anaphora in Machine Translation. In: WDS'11 Proceedings of Contributed Papers, Part I, pp. 155-160, Matfyzpress, Praha, Czechia, ISBN 978-80-7378-184-2 (pdf, bibtex)
  56. Michal Novák, Zdeněk Žabokrtský (2011): Resolving Noun Phrase Coreference in Czech. In: Lecture Notes in Computer Science, ISSN 0302-9743, 7099, pp. 24-34 (url, bibtex)
  57. Michal Novák (2010): Machine Learning Approach to Anaphora Resolution (masters thesis). In: (pdf, bibtex)
  58. Hana Klempová, Michal Novák, Peter Fabian, Jan Ehrenberger, Ondřej Bojar (2009): Získávání paralelních textů z webu. In: Informačné Technológie – Aplikácie a Teória. Zborník príspevkov, ITAT 2009, pp. 47-54, PONT s.r.o., Seňa, Slovakia, ISBN 978-80-970179-1-0 (local PDF, bibtex)

novak, m

Biblio content for 'novak, m' not available

kumar

  1. Nalin Kumar, Saad Obaid ul Islam, Ondřej Dušek (2023): Better Translation + Split and Generate for Multilingual RDF-to-Text (WebNLG 2023). In: Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023), pp. 73-79, Association for Computational Linguistics, Stroudsburg, PA, USA (url, bibtex)
  2. Nalin Kumar, Ondřej Bojar (2022): Genre Transfer in NMT: Creating Synthetic Spoken Parallel Sentences using Written Parallel Data. In: 19th International Conference on Natural Language Processing, pp. 224-233, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-959429-38-8 (url, local PDF, bibtex)

nalin kumar

Biblio content for 'nalin kumar' not available

nalin kumar

Biblio content for 'c' not available