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Jindřich Libovický
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Cited by
Cited by
Year
Attention strategies for multi-source sequence-to-sequence learning
J Libovický, J Helcl
arXiv preprint arXiv:1704.06567, 2017
1892017
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification
J Libovický, J Helcl
arXiv preprint arXiv:1811.04719, 2018
1422018
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
1022016
Multimodal abstractive summarization for how2 videos
S Palaskar, J Libovický, S Gella, F Metze
arXiv preprint arXiv:1906.07901, 2019
95*2019
How language-neutral is multilingual BERT?
J Libovický, R Rosa, A Fraser
arXiv preprint arXiv:1911.03310, 2019
872019
CUNI System for the WMT17 Multimodal Translation Task
J Helcl, J Libovický
Proceedings of the Second Conference on Machine Translation, Volume 2 …, 2018
812018
Input combination strategies for multi-source transformer decoder
J Libovický, J Helcl, D Mareček
arXiv preprint arXiv:1811.04716, 2018
812018
CUNI System for the WMT18 Multimodal Translation Task
J Helcl, J Libovický, D Variš
arXiv preprint arXiv:1811.04697, 2018
812018
CUNI system for WMT16 automatic post-editing and multimodal translation tasks
J Libovický, J Helcl, M Tlustý, P Pecina, O Bojar
arXiv preprint arXiv:1606.07481, 2016
792016
Neural Monkey: An open-source tool for sequence learning
J Helcl, J Libovický
The Prague Bulletin of Mathematical Linguistics 107 (1), 5, 2017
672017
On the Language Neutrality of Pre-trained Multilingual Representations
J Libovický, R Rosa, A Fraser
arXiv preprint arXiv:2004.05160, 2020
632020
Results of the WMT17 Neural MT Training Task
O Bojar, J Helcl, T Kocmi, J Libovický, T Musil
Proceedings of the Second Conference on Machine Translation, 525-533, 2017
262017
Knowledge-based dialog state tracking
R Kadlec, M Vodolán, J Libovický, J Macek, J Kleindienst
Spoken Language Technology Workshop (SLT), 2014 IEEE, 348-353, 2014
182014
Why don't people use character-level machine translation?
J Libovický, H Schmid, A Fraser
arXiv preprint arXiv:2110.08191, 2021
172021
Towards reasonably-sized character-level transformer NMT by finetuning subword systems
J Libovický, A Fraser
arXiv preprint arXiv:2004.14280, 2020
142020
Findings of the WMT 2021 shared tasks in unsupervised MT and very low resource supervised MT
J Libovický, A Fraser
Proceedings of the Sixth Conference on Machine Translation, 726-732, 2021
112021
Neural monkey: The current state and beyond
J Helcl, J Libovický, T Kocmi, T Musil, O Cífka, D Variš, O Bojar
13th Conference of the Association for Machine Translation in the Americas …, 2018
102018
Speaking multiple languages affects the moral bias of language models
K Hämmerl, B Deiseroth, P Schramowski, J Libovický, CA Rothkopf, ...
arXiv preprint arXiv:2211.07733, 2022
9*2022
The LMU Munich system for the WMT20 very low resource supervised MT task
J Libovický, V Hangya, H Schmid, A Fraser
Proceedings of the Fifth Conference on Machine Translation, 1104-1111, 2020
92020
CUNI system for the WMT19 robustness task
J Helcl, J Libovický, M Popel
arXiv preprint arXiv:1906.09246, 2019
92019
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