Find Academic Supervisors

• Historical Linguistics
• Phonology
• Czech Language
• +3 more

Prof. Radek Čech, Ph.D., serves as a Professor at the Institute of Czech Language within the Faculty of Arts at Masaryk University in Brno, Czech Republic. His office is located in building D/D.312 at Arna Nováka 1, 602 00 Brno, with contact details including phone 549 49 3306 and email cehradek@phil.muni.cz. His research spans Historical Linguistics, Phonology, Czech Language, Quantitative Linguistics, Corpus Linguistics, and Slavic Linguistics, focusing on diachronic phonological evolution, syllabic structures, enclitic word order, and statistical laws in language. Prof. Čech employs interdisciplinary methodologies blending philological analysis with computational techniques to examine historical Czech texts, Old Church Slavonic materials, and cross-linguistic patterns. Analysis of his 2023-2025 publications reveals concentrated research on syllabic consonant development in Czech, particularly through corpus-based studies of Old Czech verse and biblical translations. Key trends include the application of the Sonority Sequencing Principle to historical data, quantitative validation of the Menzerath-Altmann law across languages (including Chinese), and computational stylometric analysis of Slavic texts. His work consistently bridges theoretical phonology with empirical historical evidence. Prof. Čech actively collaborates with researchers like Marketa Zikova, Martin Brezina, and Pavel Kosek, presenting at international conferences such as QUALICO 2025 and organizing events like the Diachronic Slavonic Syntax series. His contributions emphasize methodological innovation in combining traditional philology with digital humanities approaches for Slavic linguistic research.

• Dependency Syntax
• Treebanking
• Tectogrammatical Representation
• +10 more

Markéta Lopatková , Associate Professor at the Institute of Formal and Applied Linguistics (Faculty of Mathematics and Physics, Charles University), is a leading Czech computational linguist specializing in dependency syntax, valency theory, and formal language modeling. Her work focuses on the Prague Dependency Treebank and VALLEX valency lexicon, incorporating tectogrammatical representations and dependency analysis by reduction. She has coordinated major EU projects like LCT and CLARA, and served on editorial/review boards for journals and conferences. Ph.D. in Computational Linguistics (2001), Charles University M.Sc. in Mathematics (1992), Charles University Research spans Czech sentence ambiguity, non-projectivity, light verb constructions, and reflexive/reciprocal modeling using restarting automata. Her 15 most recent articles address topics like Uniform Meaning Representation conversion, cross-lingual dependency analysis, and reflexive construction detection in Czech. As principal investigator for projects such as VALLEX (2018-2020) and Delving Deeper (2012-2015), she advanced valency lexicon methodologies and linguistic theory feedback loops for NLP systems. Awards include Charles University's Silver Medal (2021), Monographs of Distinction (2016), and Slovník roku 3rd Place (2009). She has supervised 5 PhD students and 6 Master’s students, contributing to European Masters programs (LCT) and international conference committees (ACL, COLING, EURALEX). Scientific Leadership : Deputy Head of Institute (2021), Former Head (2012-2020) Teaching : Courses in Dependency Grammars, Mathematical Methods in Linguistics, and Mathematical Analysis (Czech)

• Computational Linguistics
• Morphology
• Grammar
• +7 more

Jiří Hana is a researcher at the Institute of Formal and Applied Linguistics (UFAL), Faculty of Mathematics and Physics, Charles University in Prague. His work focuses on computational linguistics, particularly resource-light morphological analysis, learner corpora, and grammar modeling for morphologically complex languages like Czech and Russian. Key Research Areas : Computational morphology, learner corpus annotation, grammar models for fusional languages, tagset design, and natural language processing. Grants & Support : Funded by the U.S. NSF (award #0916280) and the Czech Republic Grant Agency (P406/10/P328). Publication Trends : His recent work (2017–2020) emphasizes syntactic annotation of non-native Czech within Universal Dependencies frameworks, leveraging learner corpora for language acquisition research, and developing tools like feat and law for morphological disambiguation. Advising Roles : Supervised 9 students (2011–2024) on projects spanning text classification, error detection, quote attribution, and multilingual learning through audiovisual input. Tools & Contributions : Developed the Russian positional tagset (2010), feat (layered error annotation), and law (manual morphological disambiguation).

• Dependency Syntax
• Morphological Analysis
• Computational Linguistics
• +7 more

Daniel Zeman is an Associate Professor at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University in Prague. His work focuses on computational linguistics, particularly morphological analysis and dependency syntax of natural languages. He co-leads the Universal Dependencies project, a major international effort to create cross-linguistically consistent treebank annotation that has become a de-facto standard in the field, currently covering 148 languages with biannual releases. Dr. Zeman's research interests include: Computational models of morphology and syntax Multilingual approaches working across typologically different languages Cross-lingual techniques supporting disadvantaged languages with limited resources Harmonized data resources for multilingual processing Deep syntactic relations, semantic roles, and coreference His publication record shows a consistent focus on universal frameworks for linguistic annotation. The Universal Dependencies project, which he co-leads, represents a paradigm shift in how linguistic resources are created and shared across languages. His work bridges theoretical linguistics with practical language technology applications, with particular emphasis on making NLP accessible for resource-poor languages through cross-lingual transfer techniques. Scientific recognition includes: Fulbright-Masaryk Fellowship (2006-2007) at University of Maryland Dean's award for best monograph at the Faculty of Mathematics and Physics (2018) Senior area chair for LREC-COLING 2024 (CORE B conference) Area chair for ACL 2020 (CORE A* conference) Dr. Zeman has supervised 19 graduate students to completion (1 PhD, 13 Master's, 5 Bachelor's) as of March 2024. He leads several major research initiatives including Universal Dependencies (since 2014), CorefUD (since 2021), and is Vice-Chair of COST Action UniDive (2022-2026). His current projects span historical linguistics (HiČKoK, 2023-2026) to language understanding from syntax to discourse (LUSyD, 2020-2024). He has developed key linguistic resources including Interset (tagset conversion framework), HamleDT (harmonized treebanks), and Universal Dependencies. With over 5,468 citations and an h-index of 28, his work has significantly shaped modern computational linguistics methodology.

• Natural Language Processing
• Computational Linguistics
• Syntax Analysis
• +4 more

Vojtěch Kovář is a researcher at Masaryk University with dual appointments at the Institute of the Czech Language (Faculty of Arts) and the Center for Natural Language Processing (Faculty of Informatics). He has been affiliated with the university since 2006, holding positions as researcher and lecturer while also working as a software analyst at Lexical Computing CZ since 2012. His research focuses on automatic syntactic analysis of natural languages , particularly Czech and related languages, evaluation of syntactic analysis quality , integration of syntactic tools into downstream applications , and corpus linguistics . His work bridges theoretical linguistics with practical language technology applications. Recent publications reveal a strong trend toward dictionary creation methodologies , lexicographic infrastructure development , and corpus-based language resource compilation . His research increasingly addresses rapid dictionary development for both European and Asian languages, as well as bilingual resource creation in response to emerging language needs. PACLIC 2010 best student paper award Member of eLex conference program committee (2017-present) Kovář supervises bachelor's and master's theses at both the Faculty of Arts and Faculty of Informatics, with recent topics including semi-automatic dictionary creation, web-based proofreading systems, and automatic punctuation correction. He teaches multiple courses including Fundamentals of Mathematics and Statistics for Humanities, Algorithmic Description of Syntax, and Programming Basics for Humanities. His research is supported by projects including LINDAT/CLARIAH-CZ (Digital Research Infrastructure for Language Technologies) and the Web-based spelling, grammar and typographical corrector for Czech language initiative.

• Computational Linguistics
• Natural Language Processing
• Language Technology Infrastructure
• +5 more

Jan Hajič is a Full Professor of Computational Linguistics and Deputy Director of the Institute of Formal and Applied Linguistics at Charles University in Prague, Czech Republic. He also directs the LINDAT/CLARIAH-CZ infrastructure, part of the EU CLARIN network. His academic roles include Adjunct Full Professor at the University of Colorado Boulder (since 2016). He holds leadership positions in major initiatives like the European Language Grid (ELG) and chairs META-NET, the European language technology network. Education: PhD in Computational Linguistics (1995) from Charles University, with earlier studies in Mathematics and Physics (1984). Industrial experience includes IBM Research (1991) and Johns Hopkins University (1999–2000 as Visiting Assistant Professor). Research interests focus on semantic analysis, multilingual NLP, treebanking (e.g., Prague Dependency Treebank), and large-scale language technology infrastructure. He leads projects like OpenEuroLLM (2025), HPLT (2022–2025), and UMR (2023–2027). Over 180 publications and a book on computational morphology highlight his scholarly contributions. Awarded Donatio Prize (2022), Silver Medal (2020), and recognition for best student paper (2005). PI/co-PI of 40+ projects, including EU Horizon grants and NSF-funded initiatives. Key roles in international conferences: ACL 2010 General Chair, CoNLL Shared Tasks, and TLT workshop series. Labs/Teams: Oversees LINDAT/CLARIAH-CZ, collaborates with Brandeis University, University of Colorado Boulder, and European research consortia. Active in policy through Czech Science Foundation and EU advisory boards.

• Natural Language Processing
• Computational Linguistics
• Dependency Syntax
• +5 more

Prof. Zdeněk Žabokrtský is a Professor at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University in Prague. He serves as the head of the PhD study program in Computational Linguistics and teaches several courses including Language Data Resources, Variability of Languages in Time and Space, Natural Language Processing, and Introduction to Language Technologies. His office is located in room S 409 on the 4th floor in the Lesser Town area of Prague. Prof. Žabokrtský's research spans multiple areas of Natural Language Processing and Computational Linguistics. His primary interests include building multilingual morphological resources, developing NLP applications that utilize parallel corpora, studying dependency syntax and valency frameworks, coreference resolution, theoretical studies on formal representations of natural languages, and applying Machine Learning techniques to linguistic problems. His work bridges theoretical linguistics with practical applications in language technology. Analysis of Prof. Žabokrtský's recent publications reveals a strong focus on morphological analysis, coreference resolution across multiple languages, and cross-lingual NLP. His research spans diverse languages including Czech, Turkish, Russian, and various Indic languages. He has made significant contributions to morphological resources, word-formation networks, and multilingual coreference systems, often creating and utilizing linguistic resources while developing novel computational approaches to linguistic phenomena. As an academic leader, Prof. Žabokrtský has supervised numerous PhD students and contributed to major research projects at the Institute of Formal and Applied Linguistics. His work has been supported by various grants that have enabled the development of important linguistic resources and NLP tools. He has been instrumental in establishing the PhD study program in Computational Linguistics at Charles University. Prof. Žabokrtský is a key member of the Institute of Formal and Applied Linguistics research teams, contributing to projects focused on developing language technologies, creating linguistic resources, and advancing theoretical understanding of natural language processing. His work is closely integrated with the Prague Dependency Treebank project and other major linguistic resources developed at Charles University.

• interpretation of deep neural networks
• machine learning
• dependency syntax
• +3 more

David Mareček is a researcher at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University. His work focuses on neural network interpretation, machine learning, dependency syntax analysis, and machine translation, with a particular emphasis on unsupervised and semi-supervised parsing techniques. Current projects: GenderBias (2023–present), EduPo (2024–present) Long-term contributions in dependency treebanks (HamleDT, 2012–2016) and neural machine translation frameworks (Treex, TectoMT) His research explores linguistic structure in neural architectures, including BERT and Transformer models, through methods like structural probing and attention analysis. Recent publications examine gender bias mitigation, automated poetry analysis, and theatre script generation. Key collaborations include Rudolf Rosa, Tomáš Musil, and Tomasz Limisiewicz. He supervises students in projects spanning multilingual representations, language model probing, and bias detection in AI systems. Technical leadership in developing tools like THEaiTRobot and DEPFIX demonstrates his commitment to applied computational linguistics and robust NLP systems.

• Discourse Analysis
• Sentence Information Structure
• Word Order
• +7 more

Kateřina Rysová is a researcher at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University in Prague. Her work focuses on discourse analysis, sentence information structure, Czech word order, dependency syntax, corpus linguistics, and historical Czech studies. Key Affiliations: Charles University in Prague (ÚFAL), Institute of Czech Language (Czech Academy of Sciences), Czech-German collaborations. Research Interests: She investigates how contextual and valency factors shape Czech word order, with a focus on obligatory and free verbal modifications. Her work bridges functional generative description with empirical corpus analysis, including studies on discourse connectives (primary vs. secondary), text coherence, and older Czech syntax. Publication Trends: Her recent articles (2018–2015) emphasize discourse connectives, coherence evaluation, and Czech-German comparative syntax. Earlier works (2014–2011) explore valency-driven word order, annotation principles in the Prague Dependency Treebank, and historical Czech lexicon. Her contributions to older Czech studies include lexicographical projects like the Lexikální databáze humanistické a barokní češtiny (2010) and Elektronický slovník staré češtiny (2011). Labs & Teams: She contributes to the Prague Dependency Treebank and LINDAT/CLARIN projects, focusing on multilingual corpus annotation and computational analysis of text structure.

• Discourse Analysis
• Corpus Linguistics
• Dependency Syntax
• +4 more

Magdaléna Rysová is a researcher at the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague. Her work focuses on discourse relations, discourse connectives, dependency syntax, and corpus linguistics, with additional contributions to second language acquisition and sentence information structure. Institute of Formal and Applied Linguistics, Charles University in Prague Research Interests: Her research explores how discourse connectives function in Czech, alternative lexicalizations for expressing discourse relations, and the annotation of textual phenomena in treebanks. She has developed computational tools for evaluating text coherence and contributed to multilingual discourse analysis frameworks. Projects: Notable projects include Automatic Evaluation of Text Coherence in Czech (NAKI II), TextLink: Structuring Discourse in Multilingual Europe (COST Action IS1312), and CorefDisk: Coreference and Discourse Relations (GA ČR). These span 2010–2019 and involve collaborations with institutions across Europe. Discourse Annotation: She has played a key role in annotating discourse relations in the Prague Dependency Treebank, including the Prague Discourse Treebank 2.0 (2016), which provides standardized corpora for language technology applications. Labs & Teams: She collaborates extensively with the Prague Czech-English Dependency Treebank team and contributes to international COST Action initiatives. Her work integrates functional generative description with computational linguistics and corpus annotation.

• Word-formation
• Derivational morphology
• Morphological segmentation
• +5 more

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.