Improving Similar Language Translation With Transfer Learning

Ife Adebara; Muhammad Abdul-Mageed

Improving Similar Language Translation With Transfer Learning

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Abstract

We investigate transfer learning based on pre-trained neural machine translation models to translate between (low-resource) similar languages. This work is part of our contribution to the WMT 2021 Similar Languages Translation Shared Task where we submitted models for different language pairs, including French-Bambara, Spanish-Catalan, and Spanish-Portuguese in both directions. Our models for Catalan-Spanish (82.79 BLEU)and Portuguese-Spanish (87.11 BLEU) rank top 1 in the official shared task evaluation, and we are the only team to submit models for the French-Bambara pairs.

Anthology ID:: 2021.wmt-1.27
Volume:: Proceedings of the Sixth Conference on Machine Translation
Month:: November
Year:: 2021
Address:: Online
Editors:: Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 273–278
Language:
URL:: https://aclanthology.org/2021.wmt-1.27/
DOI:
Bibkey:
Cite (ACL):: Ife Adebara and Muhammad Abdul-Mageed. 2021. Improving Similar Language Translation With Transfer Learning. In Proceedings of the Sixth Conference on Machine Translation, pages 273–278, Online. Association for Computational Linguistics.
Cite (Informal):: Improving Similar Language Translation With Transfer Learning (Adebara & Abdul-Mageed, WMT 2021)
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PDF:: https://aclanthology.org/2021.wmt-1.27.pdf

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@inproceedings{adebara-abdul-mageed-2021-improving,
    title = "Improving Similar Language Translation With Transfer Learning",
    author = "Adebara, Ife  and
      Abdul-Mageed, Muhammad",
    editor = "Barrault, Loic  and
      Bojar, Ondrej  and
      Bougares, Fethi  and
      Chatterjee, Rajen  and
      Costa-jussa, 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
      Yepes, Antonio Jimeno  and
      Koehn, Philipp  and
      Kocmi, Tom  and
      Martins, Andre  and
      Morishita, Makoto  and
      Monz, Christof",
    booktitle = "Proceedings of the Sixth Conference on Machine Translation",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.wmt-1.27/",
    pages = "273--278",
    abstract = "We investigate transfer learning based on pre-trained neural machine translation models to translate between (low-resource) similar languages. This work is part of our contribution to the WMT 2021 Similar Languages Translation Shared Task where we submitted models for different language pairs, including French-Bambara, Spanish-Catalan, and Spanish-Portuguese in both directions. Our models for Catalan-Spanish (82.79 BLEU)and Portuguese-Spanish (87.11 BLEU) rank top 1 in the official shared task evaluation, and we are the only team to submit models for the French-Bambara pairs."
}

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%0 Conference Proceedings
%T Improving Similar Language Translation With Transfer Learning
%A Adebara, Ife
%A Abdul-Mageed, Muhammad
%Y Barrault, Loic
%Y Bojar, Ondrej
%Y Bougares, Fethi
%Y Chatterjee, Rajen
%Y Costa-jussa, 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 Yepes, Antonio Jimeno
%Y Koehn, Philipp
%Y Kocmi, Tom
%Y Martins, Andre
%Y Morishita, Makoto
%Y Monz, Christof
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online
%F adebara-abdul-mageed-2021-improving
%X We investigate transfer learning based on pre-trained neural machine translation models to translate between (low-resource) similar languages. This work is part of our contribution to the WMT 2021 Similar Languages Translation Shared Task where we submitted models for different language pairs, including French-Bambara, Spanish-Catalan, and Spanish-Portuguese in both directions. Our models for Catalan-Spanish (82.79 BLEU)and Portuguese-Spanish (87.11 BLEU) rank top 1 in the official shared task evaluation, and we are the only team to submit models for the French-Bambara pairs.
%U https://aclanthology.org/2021.wmt-1.27/
%P 273-278

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Markdown (Informal)

[Improving Similar Language Translation With Transfer Learning](https://aclanthology.org/2021.wmt-1.27/) (Adebara & Abdul-Mageed, WMT 2021)

Improving Similar Language Translation With Transfer Learning (Adebara & Abdul-Mageed, WMT 2021)

ACL

Ife Adebara and Muhammad Abdul-Mageed. 2021. Improving Similar Language Translation With Transfer Learning. In Proceedings of the Sixth Conference on Machine Translation, pages 273–278, Online. Association for Computational Linguistics.