Tilde at WMT 2020: News Task Systems

Rihards Krišlauks; Mārcis Pinnis

doi:10.18653/v1/2020.wmt-1.15

Tilde at WMT 2020: News Task Systems

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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.

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:: 10.18653/v1/2020.wmt-1.15
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)
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PDF:: https://aclanthology.org/2020.wmt-1.15.pdf
Video:: https://slideslive.com/38939633

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@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/",
    doi = "10.18653/v1/2020.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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%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.
%R 10.18653/v1/2020.wmt-1.15
%U https://aclanthology.org/2020.wmt-1.15/
%U https://doi.org/10.18653/v1/2020.wmt-1.15
%P 175-180

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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.