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Martin Popel
Martin Popel
Institute of Formal and Applied Linguistics, Charles University
Verifierad e-postadress på ufal.mff.cuni.cz - Startsida
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Findings of the 2016 conference on machine translation (wmt16)
O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, M Huck, ...
First conference on machine translation, 131-198, 2016
8332016
CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies
D Zeman, J Hajic, M Popel, M Potthast, M Straka, F Ginter, J Nivre, ...
Proceedings of the CoNLL 2018 Shared Task: Multilingual parsing from raw …, 2018
6902018
Training tips for the Transformer model
M Popel, O Bojar
The Prague Bulletin of Mathematical Linguistics 110, 43-70, 2018
3992018
Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals
M Popel, M Tomkova, J Tomek, Ł Kaiser, J Uszkoreit, O Bojar, ...
Nature communications 11 (1), 1-15, 2020
3652020
Universal dependencies 1.0
J Nivre, et al.
http://hdl.handle.net/11234/1-1464, 2015
2622015
Findings of the 2022 conference on machine translation (WMT22)
T Kocmi, R Bawden, O Bojar, A Dvorkovich, C Federmann, M Fishel, ...
Proceedings of the Seventh Conference on Machine Translation (WMT), 1-45, 2022
1782022
TectoMT: modular NLP framework
M Popel, Z Žabokrtský
Proceedings of the 7th international conference on Advances in natural …, 2010
1432010
Czeng 1.6: enlarged Czech-English parallel corpus with processing tools dockered
O Bojar, O Dušek, T Kocmi, J Libovický, M Novák, M Popel, R Sudarikov, ...
International Conference on Text, Speech, and Dialogue, 231-238, 2016
1082016
HamleDT: To parse or not to parse
D Zeman, D Mareček, M Popel, L Ramasamy, J Štěpánek, Z Žabokrtský, ...
Proceedings of the Eighth Conference on International Language Resources and …, 2012
942012
Findings of the 2023 conference on machine translation (WMT23): LLMs are here but not quite there yet
T Kocmi, E Avramidis, R Bawden, O Bojar, A Dvorkovich, C Federmann, ...
WMT23-Eighth Conference on Machine Translation, 198--216, 2023
922023
HamleDT: Harmonized multi-language dependency treebank
D Zeman, O Dušek, D Mareček, M Popel, L Ramasamy, J Štepánek, ...
Language Resources and Evaluation 48 (4), 601-637, 2014
882014
The joy of parallelism with CzEng 1.0
O Bojar, Z Žabokrtský, O Dušek, P Galuščáková, M Majliš, D Mareček, ...
Proceedings of the Eighth International Conference on Language Resources and …, 2012
832012
Coordination structures in dependency treebanks
M Popel, D Mareček, J Štěpánek, D Zeman, Z Žabokrtský
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
712013
A Grain of Salt for the WMT Manual Evaluation
O Bojar, M Ercegovcevic, M Popel, OF Zaidan
Sixth Workshop on Statistical Machine Translation, 2011
712011
Adaptation of machine translation for multilingual information retrieval in the medical domain
P Pecina, O Dušek, L Goeuriot, J Hajič, J Hlaváčová, GJF Jones, L Kelly, ...
Artificial intelligence in medicine 61 (3), 165-185, 2014
682014
HamleDT 2.0: Thirty Dependency Treebanks Stanfordized
R Rosa, J Mašek, D Mareček, M Popel, D Zeman
LREC, 2014
542014
CUNI Transformer Neural MT System for WMT18
M Popel
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
522018
Udapi: Universal API for universal dependencies
M Popel, Z Žabokrtský, M Vojtek
Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW …, 2017
462017
MT-ComparEval: Graphical evaluation interface for Machine Translation development.
O Klejch, E Avramidis, A Burchardt, M Popel
Prague Bull. Math. Linguistics 104, 63-74, 2015
432015
Announcing CzEng 2.0 parallel corpus with over 2 gigawords
T Kocmi, M Popel, O Bojar
arXiv preprint arXiv:2007.03006, 2020
362020
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20