Abstract
We describe our two NMT systems submitted to the WMT 2020 shared task in English<->Czech and English<->Polish news translation. One system is sentence level, translating each sentence independently. The second system is document level, translating multiple sentences, trained on multi-sentence sequences up to 3000 characters long.- Anthology ID:
- 2020.wmt-1.28
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 269–273
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.28
- DOI:
- Bibkey:
- Cite (ACL):
- Martin Popel. 2020. CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training. In Proceedings of the Fifth Conference on Machine Translation, pages 269–273, Online. Association for Computational Linguistics.
- Cite (Informal):
- CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training (Popel, WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.28.pdf
- Video:
- https://slideslive.com/38939668
Export citation
@inproceedings{popel-2020-cuni,
title = "{CUNI} {E}nglish-{C}zech and {E}nglish-{P}olish Systems in {WMT}20: Robust Document-Level Training",
author = "Popel, Martin",
editor = {Barrault, Lo{\"\i}c and
Bojar, Ond{\v{r}}ej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-juss{\`a}, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Graham, Yvette and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.28",
pages = "269--273",
abstract = "We describe our two NMT systems submitted to the WMT 2020 shared task in English{\textless}-{\textgreater}Czech and English{\textless}-{\textgreater}Polish news translation. One system is sentence level, translating each sentence independently. The second system is document level, translating multiple sentences, trained on multi-sentence sequences up to 3000 characters long.",
}
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%0 Conference Proceedings %T CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training %A Popel, Martin %Y Barrault, Loïc %Y Bojar, Ondřej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussà, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Graham, Yvette %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %S Proceedings of the Fifth Conference on Machine Translation %D 2020 %8 November %I Association for Computational Linguistics %C Online %F popel-2020-cuni %X We describe our two NMT systems submitted to the WMT 2020 shared task in English\textless-\textgreaterCzech and English\textless-\textgreaterPolish news translation. One system is sentence level, translating each sentence independently. The second system is document level, translating multiple sentences, trained on multi-sentence sequences up to 3000 characters long. %U https://aclanthology.org/2020.wmt-1.28 %P 269-273
Markdown (Informal)
[CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training](https://aclanthology.org/2020.wmt-1.28) (Popel, WMT 2020)
- CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training (Popel, WMT 2020)
ACL
- Martin Popel. 2020. CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training. In Proceedings of the Fifth Conference on Machine Translation, pages 269–273, Online. Association for Computational Linguistics.