Lukáš Kyjánek
Main Research Interests
- word-formation, esecially derivation
- computer lexicography, word-formation language resources
- semantics in derivation, meanings of morphological categories
- dialectometry, mutual intelligibility of closely related languages
- quantitative methods and machine learning in computational linguistics
Projects
- DeriNet database and Universal Derivations collection and Universal Segmentations collection
- A data-based approach to competition in word-formation: selected semantic categories across seven languages (CUNI START/HUM/010; principal investigator; 2021-2023)
- Word-formation structure of Czech words: a data-based research (GAČR 19-14534S; team member; principal investigator: Mgr. Magda Ševčíková, Ph.D.; 2019–2021)
- Developing derivational networks for multiple languages (GAUK 1176219; team member; principal investigator: Mgr. Jonáš Vidra; 2019–2021)
- Extension of the lexical word-formation network DeriNet by selected semantic labels (Student Faculty Grant; principal investigator; 2019)
- Development of an automatic foreign word recognizer in the Czech vocabulary (Student Faculty Grant; principal investigator; 2018)
Curriculum Vitae
- studying PhD. in Computational Linguistics (since October 2020), Charles University, Faculty of Mathematics and Physics
- Masters degree in Computational Linguistics (2017–2020), Charles University, Faculty of Mathematics and Physics
- Bachelor degree in Czech Language and Literature with a Focus on Education & Informatics with a Focus on Education (2014–2017), University of Hradec Králové, Faculty of Science
Selected Bibliography
See a complete bibliography and more information about me and my work on my personal webpage.