Samsung R&D Institute Poland submission to WMT20 News Translation Task
Mateusz Krubiński, Marcin Chochowski, Bartłomiej Boczek, Mikołaj Koszowski, Adam Dobrowolski, Marcin Szymański, Paweł Przybysz
Correct Metadata for
Abstract
This paper describes the submission to the WMT20 shared news translation task by Samsung R&D Institute Poland. We submitted systems for six language directions: English to Czech, Czech to English, English to Polish, Polish to English, English to Inuktitut and Inuktitut to English. For each, we trained a single-direction model. However, directions including English, Polish and Czech were derived from a common multilingual base, which was later fine-tuned on each particular direction. For all the translation directions, we used a similar training regime, with iterative training corpora improvement through back-translation and model ensembling. For the En → Cs direction, we additionally leveraged document-level information by re-ranking the beam output with a separate model.- Anthology ID:
- 2020.wmt-1.16
- 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:
- 181–190
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.16/
- DOI:
- 10.18653/v1/2020.wmt-1.16
- Bibkey:
- Cite (ACL):
- Mateusz Krubiński, Marcin Chochowski, Bartłomiej Boczek, Mikołaj Koszowski, Adam Dobrowolski, Marcin Szymański, and Paweł Przybysz. 2020. Samsung R&D Institute Poland submission to WMT20 News Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 181–190, Online. Association for Computational Linguistics.
- Cite (Informal):
- Samsung R&D Institute Poland submission to WMT20 News Translation Task (Krubiński et al., WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.16.pdf
- Video:
- https://slideslive.com/38939566
Export citation
@inproceedings{krubinski-etal-2020-samsung,
title = "{S}amsung {R}{\&}{D} Institute {P}oland submission to {WMT}20 News Translation Task",
author = "Krubi{\'n}ski, Mateusz and
Chochowski, Marcin and
Boczek, Bart{\l}omiej and
Koszowski, Miko{\l}aj and
Dobrowolski, Adam and
Szyma{\'n}ski, Marcin and
Przybysz, Pawe{\l}",
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-1.16/",
doi = "10.18653/v1/2020.wmt-1.16",
pages = "181--190",
abstract = "This paper describes the submission to the WMT20 shared news translation task by Samsung R{\&}D Institute Poland. We submitted systems for six language directions: English to Czech, Czech to English, English to Polish, Polish to English, English to Inuktitut and Inuktitut to English. For each, we trained a single-direction model. However, directions including English, Polish and Czech were derived from a common multilingual base, which was later fine-tuned on each particular direction. For all the translation directions, we used a similar training regime, with iterative training corpora improvement through back-translation and model ensembling. For the En {\textrightarrow} Cs direction, we additionally leveraged document-level information by re-ranking the beam output with a separate model."
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%0 Conference Proceedings %T Samsung R&D Institute Poland submission to WMT20 News Translation Task %A Krubiński, Mateusz %A Chochowski, Marcin %A Boczek, Bartłomiej %A Koszowski, Mikołaj %A Dobrowolski, Adam %A Szymański, Marcin %A Przybysz, Paweł %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 krubinski-etal-2020-samsung %X This paper describes the submission to the WMT20 shared news translation task by Samsung R&D Institute Poland. We submitted systems for six language directions: English to Czech, Czech to English, English to Polish, Polish to English, English to Inuktitut and Inuktitut to English. For each, we trained a single-direction model. However, directions including English, Polish and Czech were derived from a common multilingual base, which was later fine-tuned on each particular direction. For all the translation directions, we used a similar training regime, with iterative training corpora improvement through back-translation and model ensembling. For the En → Cs direction, we additionally leveraged document-level information by re-ranking the beam output with a separate model. %R 10.18653/v1/2020.wmt-1.16 %U https://aclanthology.org/2020.wmt-1.16/ %U https://doi.org/10.18653/v1/2020.wmt-1.16 %P 181-190
Markdown (Informal)
[Samsung R&D Institute Poland submission to WMT20 News Translation Task](https://aclanthology.org/2020.wmt-1.16/) (Krubiński et al., WMT 2020)
- Samsung R&D Institute Poland submission to WMT20 News Translation Task (Krubiński et al., WMT 2020)
ACL
- Mateusz Krubiński, Marcin Chochowski, Bartłomiej Boczek, Mikołaj Koszowski, Adam Dobrowolski, Marcin Szymański, and Paweł Przybysz. 2020. Samsung R&D Institute Poland submission to WMT20 News Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 181–190, Online. Association for Computational Linguistics.