Abstract
This paper describes Tilde’s submission to the WMT2020 shared task on news translation for both directions of the English-Polish language pair in both the constrained and the unconstrained tracks. We follow our submissions form the previous years and build our baseline systems to be morphologically motivated sub-word unit-based Transformer base models that we train using the Marian machine translation toolkit. Additionally, we experiment with different parallel and monolingual data selection schemes, as well as sampled back-translation. Our final models are ensembles of Transformer base and Transformer big models which feature right-to-left re-ranking.- Anthology ID:
- 2020.wmt-1.15
- 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:
- 175–180
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.15
- DOI:
- Bibkey:
- Cite (ACL):
- Rihards Krišlauks and Mārcis Pinnis. 2020. Tilde at WMT 2020: News Task Systems. In Proceedings of the Fifth Conference on Machine Translation, pages 175–180, Online. Association for Computational Linguistics.
- Cite (Informal):
- Tilde at WMT 2020: News Task Systems (Krišlauks & Pinnis, WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.15.pdf
- Video:
- https://slideslive.com/38939633
- Data
- ParaCrawl
Export citation
@inproceedings{krislauks-pinnis-2020-tilde,
title = "Tilde at {WMT} 2020: News Task Systems",
author = "Kri{\v{s}}lauks, Rihards and
Pinnis, M{\=a}rcis",
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-1.15",
pages = "175--180",
abstract = "This paper describes Tilde{'}s submission to the WMT2020 shared task on news translation for both directions of the English-Polish language pair in both the constrained and the unconstrained tracks. We follow our submissions form the previous years and build our baseline systems to be morphologically motivated sub-word unit-based Transformer base models that we train using the Marian machine translation toolkit. Additionally, we experiment with different parallel and monolingual data selection schemes, as well as sampled back-translation. Our final models are ensembles of Transformer base and Transformer big models which feature right-to-left re-ranking.",
}
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<abstract>This paper describes Tilde’s submission to the WMT2020 shared task on news translation for both directions of the English-Polish language pair in both the constrained and the unconstrained tracks. We follow our submissions form the previous years and build our baseline systems to be morphologically motivated sub-word unit-based Transformer base models that we train using the Marian machine translation toolkit. Additionally, we experiment with different parallel and monolingual data selection schemes, as well as sampled back-translation. Our final models are ensembles of Transformer base and Transformer big models which feature right-to-left re-ranking.</abstract>
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%0 Conference Proceedings %T Tilde at WMT 2020: News Task Systems %A Krišlauks, Rihards %A Pinnis, Mārcis %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 krislauks-pinnis-2020-tilde %X This paper describes Tilde’s submission to the WMT2020 shared task on news translation for both directions of the English-Polish language pair in both the constrained and the unconstrained tracks. We follow our submissions form the previous years and build our baseline systems to be morphologically motivated sub-word unit-based Transformer base models that we train using the Marian machine translation toolkit. Additionally, we experiment with different parallel and monolingual data selection schemes, as well as sampled back-translation. Our final models are ensembles of Transformer base and Transformer big models which feature right-to-left re-ranking. %U https://aclanthology.org/2020.wmt-1.15 %P 175-180
Markdown (Informal)
[Tilde at WMT 2020: News Task Systems](https://aclanthology.org/2020.wmt-1.15) (Krišlauks & Pinnis, WMT 2020)
- Tilde at WMT 2020: News Task Systems (Krišlauks & Pinnis, WMT 2020)
ACL
- Rihards Krišlauks and Mārcis Pinnis. 2020. Tilde at WMT 2020: News Task Systems. In Proceedings of the Fifth Conference on Machine Translation, pages 175–180, Online. Association for Computational Linguistics.