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Chinese-Russian Shared Task on Multi-domain Translation

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Artificial Intelligence and Natural Language (AINL 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1292))

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Abstract

We present the results the first shared task on Machine Translation (MT) from Chinese into Russian, which is the only MT competition for this pair of languages to date. The task for participants was to train a general-purpose MT system which performs reasonably well on very diverse text domains and styles without additional fine-tuning. 11 teams participated in the competition, some of the submitted models showed reasonably good performance topping at 19.7 BLEU.

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Notes

  1. 1.

    http://statmt.org/wmt20/chat-task.html.

  2. 2.

    http://www.ruscorpora.ru.

  3. 3.

    http://opus.nlpl.eu/UNPC-v1.0.php.

  4. 4.

    https://github.com/facebookresearch/LASER/tree/master/tasks/CCMatrix.

  5. 5.

    http://opus.nlpl.eu/OpenSubtitles-v2018.php.

  6. 6.

    https://www.project-syndicate.org/.

  7. 7.

    http://www.casmacat.eu/corpus/news-commentary.html.

  8. 8.

    https://mlbootcamp.ru/ru/round/26/rating/?results_filter=final.

  9. 9.

    https://opennmt.net/OpenNMT-py/.

  10. 10.

    https://github.com/tensorflow/tensor2tensor.

  11. 11.

    https://marian-nmt.github.io/.

  12. 12.

    https://tatianashavrina.github.io/taiga_site/.

  13. 13.

    The code and the model itself are available here: https://github.com/facebookresearch/LASER.

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Acknowledgements

We are thankful to Kirill Semenov from NRU Higher School of Economics, who generously provided us with test corpus for the competition. We also thank the competition platform provider MLBootCamp (https://mlbootcamp.ru/en/main/) (part of Mail.Ru Group) and Dmitry Sannikov personally for the competition technical support and organization.

Author information

Authors and Affiliations

  1. Huawei Noah’s Ark Lab, Moscow, Russia

    Valentin Malykh

  2. Skolkovo Institute of Science and Technology, Moscow, Russia

    Varvara Logacheva

Authors
  1. Valentin Malykh
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  2. Varvara Logacheva
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Corresponding author

Correspondence to Valentin Malykh .

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Editors and Affiliations

  1. ITMO University, St. Petersburg, Russia

    Andrey Filchenkov

  2. Haaga-Helia University of Applied Sciences, Helsinki, Finland

    Janne Kauttonen

  3. University of Helsinki, Helsinki, Finland

    Lidia Pivovarova

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Malykh, V., Logacheva, V. (2020). Chinese-Russian Shared Task on Multi-domain Translation. In: Filchenkov, A., Kauttonen, J., Pivovarova, L. (eds) Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science, vol 1292. Springer, Cham. https://doi.org/10.1007/978-3-030-59082-6_15

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  • DOI: https://doi.org/10.1007/978-3-030-59082-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59081-9

  • Online ISBN: 978-3-030-59082-6

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