معرفی
Associate Professor Magda Ševčíková is a prominent linguist at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University in Prague. She specializes in morphological research with a focus on Czech language, particularly in word-formation, derivational morphology, and morphological segmentation. Her work bridges theoretical linguistics with computational approaches, making significant contributions to language resource development.
Dr. Ševčíková's educational background includes a Ph.D. in Mathematical Linguistics (2009) and an Mgr. in Czech and German Philology (2004), both from Charles University. Her habilitation in Linguistics was completed in 2025 with a thesis on conversion between noun and verb in Czech. Her research interests center on word-formation phenomena, particularly conversion processes, derivational morphology of Czech, morphological segmentation, dependency syntax, and named entity recognition.
Her publication record reveals a strong focus on data-driven morphological research, with recent work emphasizing corpus-based analysis of noun-verb conversion, derivational networks (particularly DeriNet), and cross-linguistic comparisons of morphological structures. She has pioneered methods for modeling morphographemic alternations and semi-automatic construction of word-formation networks.
Dr. Ševčíková has served in significant academic roles including chair of the Czech Science Foundation's evaluation panel for Linguistics and Literature (2023-2025), member of the discipline committee for Social Sciences and Humanities, and Scientific Committee member for the Language Resources and Evaluation Conference. She has led multiple Czech Science Foundation projects on Czech word-formation and morphology.
She actively contributes to major linguistic projects including DeriNet (a lexical network of Czech derived words), Universal Derivations collection, Universal Segmentations project, and the Czech Named Entity Corpus. Her work has established important language resources that support both theoretical linguistic research and practical NLP applications.
