Logo UK Logo MFF

Institute of Formal and Applied Linguistics


Charles University, Czech Republic
Faculty of Mathematics and Physics

ÚFAL
Jindřich Libovický

Jindřich Libovický

office
422
email
libovicky@ufal.mff.cuni.cz
phone
+420 951 554 359
address
Malostranské náměstí 25
118 00 Praha 1
Czech Republic

Main Research Interests

deep learning in NLP, combining language and vision, multimodal translation, scene text recognition

Projects

Curriculum Vitae

Experience

  • Research Assistant @Charles University (since 2013)
  • Software Enginering Intern @Google (2017)
  • Analytic Linguist Intern @Google (2016)
  • Research Development Support @IBM Czech Republic (2012 – 2015)

Education

  • pursuing a PhD. in Computational Linguistics, Charles University, Faculty of Mathematics and Physics (since 2013)
  • Masters degree in Computational Linguistics (2011 – 2013), Charles University, Faculty of Mathematics and Physics
  • Bachelor degree in Media Studies (2011 – 2014), Charles University, Faculty of Social Sciences
  • Bachelor degree in Computer Science (2007 – 2011), Charles University, Faculty of Mathematics and Physics

Teaching

Selected Bibliography

  1. Jindřich Helcl, Jindřich Libovický, Tom Kocmi, Tomáš Musil, Ondřej Cífka, Dušan Variš, Ondřej Bojar (2018): Neural Monkey: The Current State and Beyond. In: The 13th Conference of The Association for Machine Translation in the Americas, Vol. 1: MT Researchers’ Track, pp. 168-176, The Association for Machine Translation in the Americas, Stroudsburg, PA, USA (biblio, batt1.pdf, batt2.pdf, bibtex)
  2. Jindřich Libovický, Thomas Brovelli (Meyer), Bruno Cartoni (2018): Machine Translation Evaluation beyond the Sentence Level. In: Proceedings of the 21st Annual Conference of the European Association for Machine Translation (2018), pp. 179-188, European Association for Machine Translation, Allschwil, Switzerland, ISBN 978-84-09-01901-4 (biblio, batt1.pdf, batt2.png, bibtex)
  3. 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, biblio, batt1.pdf, batt2.pdf, bibtex)
  4. Ondřej Bojar, Jindřich Helcl, Tom Kocmi, Jindřich Libovický, Tomáš Musil (2017): Results of the WMT17 Neural MT Training Task. In: Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers, pp. 525-533, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-96-8 (biblio, batt1.pdf, obd, bibtex)
  5. Jindřich Helcl, Jindřich Libovický (2017): CUNI System for the WMT17 Multimodal Translation Task. In: Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers, pp. 450-457, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-96-8 (biblio, batt1.pdf, obd, bibtex)
  6. Jindřich Helcl, Jindřich Libovický (2017): Neural Monkey: An Open-source Tool for Sequence Learning. In: The Prague Bulletin of Mathematical Linguistics, ISSN 0032-6585, 107, pp. 5-17 (biblio, batt1.pdf, obd, bibtex)
  7. Jindřich Libovický, Jindřich Helcl (2017): Attention Strategies for Multi-Source Sequence-to-Sequence Learning. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 196-202, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-76-0 (biblio, batt1.pdf, batt2.pdf, obd, bibtex)
  8. 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, biblio, obd, bibtex)
  9. Jindřich Libovický (2016): Neural Scoring Function for MST Parser. In: Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), pp. 694-698, European Language Resources Association, Paris, France, ISBN 978-2-9517408-9-1 (biblio, obd, bibtex)
  10. Jindřich Libovický, Jindřich Helcl, Marek Tlustý, Pavel Pecina, Ondřej Bojar (2016): CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks. In: Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers, pp. 646-654, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-10-4 (pdf, biblio, obd, bibtex)
  11. Jindřich Libovický, Pavel Pecina (2016): A Dataset and Evaluation Metric for Coherent Text Recognition from Scene Images. In: Multimodal Corpora: Computer vision and language processing, pp. 33-36, European Language Resources Association, Paris, France (pdf, biblio, obd, bibtex)
  12. Jindřich Libovický, Lukáš Neumann, Pavel Pecina, Jiří Matas (2015): A Machine Learning Approach to Hypothesis Decoding in Scene Text Recognition. In: Computer Vision - ACCV 2014 Workshops, Lecture Notes in Computer Science, ISSN 0302-9743, 9009, pp. 169-180, Springer International Publishing, Switzerland, ISBN 978-3-319-16630-8 (biblio, obd, bibtex)
  13. Rudolf Kadlec, Jindřich Libovický, Jan Macek, Jan Kleindienst (2014): IBM’s Belief Tracker: Results On Dialog State Tracking Challenge Datasets. In: Proceedings of the Workshop on Dialogue in Motion, pp. 10-18, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-937284-81-7 (biblio, obd, bibtex)
  14. Rudolf Kadlec, Miroslav Vodolán, Jindřich Libovický, Jan Macek, Jan Kleindienst (2014): Knowledge-based Dialog State Tracking. In: Proceedings of the 2014 IEEE Spoken Language Technology Workshop (SLT), pp. 348-353, IEEE, Lake Tahoe, NV, USA, ISBN 9781479971305 (biblio, obd, bibtex)
  15. Jindřich Libovický, Pavel Pecina (2014): Tolerant BLEU: a Submission to the WMT14 Metrics Task. In: Proceedings of the Ninth Workshop on Statistical Machine Translation, pp. 409-413, Association for Computational Linguistics, Baltimore, MD, USA, ISBN 978-1-941643-17-4 (biblio, batt1.pdf, obd, bibtex)

See the full list on my Google Scholar profile or our institutes's database.

Recent Blog Posts

​Visit my blog at jlibovicky.github.io.

Talks

  • Proč není snadné přečíst nápis z fotky a proč bychom to měli chtít (popluarization talk at Gymnázium Kladno, 23.10. 2014) [slides]
  • Learning Hypotheses Decoding in an Image Text Recognition Pipeline (at Week of Doctroal Studies at ÚFAL), 19.5. 2014 [video, slides]
  • Music and Computational Linguistics (at Linguistic Monday at ÚFAL), 4.11.2013 [video, slides]
  • Matematická lingvistika (popularization talk at Festival Fantazie), 4.7. 2013 [slides]