معرفی
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.