Jonáš Vidra

office
409
email
vidra@ufal.mff.cuni.cz
phone
+420 221 914 xxx
address
Malostranské náměstí 25
118 00 Praha 1
Czech Republic

Main Research Interests

  • Word formation, especially derivation
  • Word-level segmentation and morphology in general
  • Machine learning, including neural networks
  • Visualizations

Projects

Selected Bibliography

  1. Dominik Macháček, Jonáš Vidra, Ondřej Bojar (2018): Morphological and Language-Agnostic Word Segmentation for NMT. In: Proceedings of the 21st International Conference on Text, Speech and Dialogue—TSD 2018, pp. 277-284, Springer-Verlag, Cham, Switzerland, ISBN 978-3-030-00794-2 (url, biblio, bibtex)
  2. Jonáš Vidra (2018): Morphological segmentation of Czech Words (masters thesis). Charles University, Praha, Czechia (url, biblio, attachment.pdf, bibtex)
  3. Jonáš Vidra, Zdeněk Žabokrtský (2017): Online Software Components for Accessing Derivational Networks. In: Proceedings of the Workshop on Resources and Tools for Derivational Morphology (DeriMo), pp. 129-139, EDUCatt, Milano, Italy, ISBN 978-88-9335-225-3 (pdf, biblio, bibtex)
  4. Magda Ševčíková, Zdeněk Žabokrtský, Jonáš Vidra, Milan Straka (2016): Lexikální síť DeriNet: elektronický zdroj pro výzkum derivace v češtině. In: Časopis pro moderní filologii, ISSN 0008-7386, vol. 98, no. 1, pp. 62-76 (biblio, obd, bibtex)
  5. Zdeněk Žabokrtský, Magda Ševčíková, Milan Straka, Jonáš Vidra, Adéla Limburská (2016): Merging Data Resources for Inflectional and Derivational Morphology in Czech. In: Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), pp. 1307-1314, European Language Resources Association, Paris, France, ISBN 978-2-9517408-9-1 (pdf, biblio, attachment.pdf, obd, bibtex)
  6. Jonáš Vidra (2015): Implementation of a Search Engine for DeriNet. In: Proceedings of the 15th conference ITAT 2015: Slovenskočeský NLP workshop (SloNLP 2015), pp. 100-106, CreateSpace Independent Publishing Platform, Praha, Czechia, ISBN 978-1515120650 (biblio, obd, bibtex)