Martin Popel
Scholar

Martin Popel

Google Scholar ID: og-mG6MAAAAJ
Institute of Formal and Applied Linguistics, Charles University
neural machine translationMT evaluationlanguage modelingtreebankingUniversal Dependencies
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Citations & Impact
All-time
Citations
3,045
 
H-index
20
 
i10-index
28
 
Publications
20
 
Co-authors
51
list available
Contact
No contact links provided.
Publications
2 items
Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?
2025
Cited
0
Mitigating Language Barriers in Education: Developing Multilingual Digital Learning Materials with Machine Translation
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Published paper at ICML 2021
  • - Won Best Student Paper Award, NeurIPS 2019
Research Experience
  • - Researcher, Google AI Lab, 2020-Present
Education
  • - Ph.D. in Computer Science, Stanford University, Advisor: John Doe, 2015-2020
  • - M.S. in Artificial Intelligence, Massachusetts Institute of Technology, 2013-2015
Background
  • Interested in machine learning and natural language processing.
Miscellany
  • Enjoys traveling and reading science fiction.
Co-authors
51 total
Ondřej Bojar
Ondřej Bojar
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics
Zdenek Zabokrtsky
Zdenek Zabokrtsky
Charles University in Prague
Co-author 3
Co-author 3
Daniel Zeman
Daniel Zeman
Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University
David Mareček
David Mareček
Institute of Formal and Applied Linguistics, Charles University in Prague
Jan Hajic
Jan Hajic
Professor of Computational Linguistics, Charles University, Prague, Czech Republic
Ondřej Dušek
Ondřej Dušek
Institute of Formal and Applied Linguistics, Charles University, Prague, Czechia
Philipp Koehn
Philipp Koehn
Professor, Johns Hopkins University