@inproceedings{wang-etal-2021-huawei,
    title = "Huawei {AARC}`s Submissions to the {WMT}21 Biomedical Translation Task: Domain Adaption from a Practical Perspective",
    author = "Wang, Weixuan  and
      Peng, Wei  and
      Meng, Xupeng  and
      Liu, Qun",
    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://preview.aclanthology.org/Ingest-2025-COMPUTEL/2021.wmt-1.88/",
    pages = "868--873",
    abstract = "This paper describes Huawei Artificial Intelligence Application Research Center`s neural machine translation systems and submissions to the WMT21 biomedical translation shared task. Four of the submissions achieve state-of-the-art BLEU scores based on the official-released automatic evaluation results (EN-{\ensuremath{>}}FR, EN{\ensuremath{<}}-{\ensuremath{>}}IT and ZH-{\ensuremath{>}}EN). We perform experiments to unveil the practical insights of the involved domain adaptation techniques, including finetuning order, terminology dictionaries, and ensemble decoding. Issues associated with overfitting and under-translation are also discussed."
}