Samsung R&D Institute Poland Participation in WMT 2022
Adam Dobrowolski, Mateusz Klimaszewski, Adam Myśliwy, Marcin Szymański, Jakub Kowalski, Kornelia Szypuła, Paweł Przewłocki, Paweł Przybysz
Abstract
This paper presents the system description of Samsung R&D Institute Poland participation in WMT 2022 for General MT solution for medium and low resource languages: Russian and Croatian. Our approach combines iterative noised/tagged back-translation and iterative distillation. We investigated different monolingual resources and compared their influence on final translations. We used available BERT-likemodels for text classification and for extracting domains of texts. Then we prepared an ensemble of NMT models adapted to multiple domains. Finally we attempted to predict ensemble weight vectors from the BERT-based domain classifications for individual sentences. Our final trained models reached quality comparable to best online translators using only limited constrained resources during training.- Anthology ID:
- 2022.wmt-1.17
- Volume:
- Proceedings of the Seventh Conference on Machine Translation (WMT)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Editors:
- Philipp Koehn, Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Tom Kocmi, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Aurélie Névéol, Mariana Neves, Martin Popel, Marco Turchi, Marcos Zampieri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 251–259
- Language:
- URL:
- https://aclanthology.org/2022.wmt-1.17
- DOI:
- Bibkey:
- Cite (ACL):
- Adam Dobrowolski, Mateusz Klimaszewski, Adam Myśliwy, Marcin Szymański, Jakub Kowalski, Kornelia Szypuła, Paweł Przewłocki, and Paweł Przybysz. 2022. Samsung R&D Institute Poland Participation in WMT 2022. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 251–259, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Samsung R&D Institute Poland Participation in WMT 2022 (Dobrowolski et al., WMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.wmt-1.17.pdf
Export citation
@inproceedings{dobrowolski-etal-2022-samsung,
title = "{S}amsung {R}{\&}{D} Institute {P}oland Participation in {WMT} 2022",
author = "Dobrowolski, Adam and
Klimaszewski, Mateusz and
My{\'s}liwy, Adam and
Szyma{\'n}ski, Marcin and
Kowalski, Jakub and
Szypu{\l}a, Kornelia and
Przew{\l}ocki, Pawe{\l} and
Przybysz, Pawe{\l}",
editor = {Koehn, Philipp and
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
Freitag, Markus and
Graham, Yvette and
Grundkiewicz, Roman and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Jimeno Yepes, Antonio and
Kocmi, Tom and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Popel, Martin and
Turchi, Marco and
Zampieri, Marcos},
booktitle = "Proceedings of the Seventh Conference on Machine Translation (WMT)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wmt-1.17",
pages = "251--259",
abstract = "This paper presents the system description of Samsung R{\&}D Institute Poland participation in WMT 2022 for General MT solution for medium and low resource languages: Russian and Croatian. Our approach combines iterative noised/tagged back-translation and iterative distillation. We investigated different monolingual resources and compared their influence on final translations. We used available BERT-likemodels for text classification and for extracting domains of texts. Then we prepared an ensemble of NMT models adapted to multiple domains. Finally we attempted to predict ensemble weight vectors from the BERT-based domain classifications for individual sentences. Our final trained models reached quality comparable to best online translators using only limited constrained resources during training.",
}
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%0 Conference Proceedings %T Samsung R&D Institute Poland Participation in WMT 2022 %A Dobrowolski, Adam %A Klimaszewski, Mateusz %A Myśliwy, Adam %A Szymański, Marcin %A Kowalski, Jakub %A Szypuła, Kornelia %A Przewłocki, Paweł %A Przybysz, Paweł %Y Koehn, Philipp %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 Freitag, Markus %Y Graham, Yvette %Y Grundkiewicz, Roman %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Jimeno Yepes, Antonio %Y Kocmi, Tom %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Popel, Martin %Y Turchi, Marco %Y Zampieri, Marcos %S Proceedings of the Seventh Conference on Machine Translation (WMT) %D 2022 %8 December %I Association for Computational Linguistics %C Abu Dhabi, United Arab Emirates (Hybrid) %F dobrowolski-etal-2022-samsung %X This paper presents the system description of Samsung R&D Institute Poland participation in WMT 2022 for General MT solution for medium and low resource languages: Russian and Croatian. Our approach combines iterative noised/tagged back-translation and iterative distillation. We investigated different monolingual resources and compared their influence on final translations. We used available BERT-likemodels for text classification and for extracting domains of texts. Then we prepared an ensemble of NMT models adapted to multiple domains. Finally we attempted to predict ensemble weight vectors from the BERT-based domain classifications for individual sentences. Our final trained models reached quality comparable to best online translators using only limited constrained resources during training. %U https://aclanthology.org/2022.wmt-1.17 %P 251-259
Markdown (Informal)
[Samsung R&D Institute Poland Participation in WMT 2022](https://aclanthology.org/2022.wmt-1.17) (Dobrowolski et al., WMT 2022)
- Samsung R&D Institute Poland Participation in WMT 2022 (Dobrowolski et al., WMT 2022)
ACL
- Adam Dobrowolski, Mateusz Klimaszewski, Adam Myśliwy, Marcin Szymański, Jakub Kowalski, Kornelia Szypuła, Paweł Przewłocki, and Paweł Przybysz. 2022. Samsung R&D Institute Poland Participation in WMT 2022. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 251–259, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.