The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task

Prashanth Nayak; Rejwanul Haque; Andy Way

doi:10.18653/v1/2020.wat-1.12

The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task

Prashanth Nayak, Rejwanul Haque, Andy Way

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Abstract

This paper describes the ADAPT Centre sub-missions to WAT 2020 for the English-to-Odia translation task. We present the approaches that we followed to try to build competitive machine translation (MT) systems for English-to-Odia. Our approaches include monolingual data selection for creating synthetic data and identifying optimal sets of hyperparameters for the Transformer in a low-resource scenario. Our best MT system produces 4.96BLEU points on the evaluation test set in the English-to-Odia translation task.

Anthology ID:: 2020.wat-1.12
Volume:: Proceedings of the 7th Workshop on Asian Translation
Month:: December
Year:: 2020
Address:: Suzhou, China
Editors:: Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Win Pa Pa, Ondřej Bojar, Shantipriya Parida, Isao Goto, Hidaya Mino, Hiroshi Manabe, Katsuhito Sudoh, Sadao Kurohashi, Pushpak Bhattacharyya
Venue:: WAT
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 114–117
Language:
URL:: https://aclanthology.org/2020.wat-1.12/
DOI:: 10.18653/v1/2020.wat-1.12
Bibkey:
Cite (ACL):: Prashanth Nayak, Rejwanul Haque, and Andy Way. 2020. The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task. In Proceedings of the 7th Workshop on Asian Translation, pages 114–117, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task (Nayak et al., WAT 2020)
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PDF:: https://aclanthology.org/2020.wat-1.12.pdf

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@inproceedings{nayak-etal-2020-adapt,
    title = "The {ADAPT} Centre{'}s Participation in {WAT} 2020 {E}nglish-to-{O}dia Translation Task",
    author = "Nayak, Prashanth  and
      Haque, Rejwanul  and
      Way, Andy",
    editor = "Nakazawa, Toshiaki  and
      Nakayama, Hideki  and
      Ding, Chenchen  and
      Dabre, Raj  and
      Kunchukuttan, Anoop  and
      Pa, Win Pa  and
      Bojar, Ond{\v{r}}ej  and
      Parida, Shantipriya  and
      Goto, Isao  and
      Mino, Hidaya  and
      Manabe, Hiroshi  and
      Sudoh, Katsuhito  and
      Kurohashi, Sadao  and
      Bhattacharyya, Pushpak",
    booktitle = "Proceedings of the 7th Workshop on Asian Translation",
    month = dec,
    year = "2020",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.wat-1.12/",
    doi = "10.18653/v1/2020.wat-1.12",
    pages = "114--117",
    abstract = "This paper describes the ADAPT Centre sub-missions to WAT 2020 for the English-to-Odia translation task. We present the approaches that we followed to try to build competitive machine translation (MT) systems for English-to-Odia. Our approaches include monolingual data selection for creating synthetic data and identifying optimal sets of hyperparameters for the Transformer in a low-resource scenario. Our best MT system produces 4.96BLEU points on the evaluation test set in the English-to-Odia translation task."
}

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%0 Conference Proceedings
%T The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task
%A Nayak, Prashanth
%A Haque, Rejwanul
%A Way, Andy
%Y Nakazawa, Toshiaki
%Y Nakayama, Hideki
%Y Ding, Chenchen
%Y Dabre, Raj
%Y Kunchukuttan, Anoop
%Y Pa, Win Pa
%Y Bojar, Ondřej
%Y Parida, Shantipriya
%Y Goto, Isao
%Y Mino, Hidaya
%Y Manabe, Hiroshi
%Y Sudoh, Katsuhito
%Y Kurohashi, Sadao
%Y Bhattacharyya, Pushpak
%S Proceedings of the 7th Workshop on Asian Translation
%D 2020
%8 December
%I Association for Computational Linguistics
%C Suzhou, China
%F nayak-etal-2020-adapt
%X This paper describes the ADAPT Centre sub-missions to WAT 2020 for the English-to-Odia translation task. We present the approaches that we followed to try to build competitive machine translation (MT) systems for English-to-Odia. Our approaches include monolingual data selection for creating synthetic data and identifying optimal sets of hyperparameters for the Transformer in a low-resource scenario. Our best MT system produces 4.96BLEU points on the evaluation test set in the English-to-Odia translation task.
%R 10.18653/v1/2020.wat-1.12
%U https://aclanthology.org/2020.wat-1.12/
%U https://doi.org/10.18653/v1/2020.wat-1.12
%P 114-117

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Markdown (Informal)

[The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task](https://aclanthology.org/2020.wat-1.12/) (Nayak et al., WAT 2020)

The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task (Nayak et al., WAT 2020)

ACL

Prashanth Nayak, Rejwanul Haque, and Andy Way. 2020. The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task. In Proceedings of the 7th Workshop on Asian Translation, pages 114–117, Suzhou, China. Association for Computational Linguistics.