@inproceedings{chen-etal-2020-character,
    title = "Character Mapping and Ad-hoc Adaptation: {E}dinburgh{'}s {IWSLT} 2020 Open Domain Translation System",
    author = "Chen, Pinzhen  and
      Bogoychev, Nikolay  and
      Germann, Ulrich",
    editor = {Federico, Marcello  and
      Waibel, Alex  and
      Knight, Kevin  and
      Nakamura, Satoshi  and
      Ney, Hermann  and
      Niehues, Jan  and
      St{\"u}ker, Sebastian  and
      Wu, Dekai  and
      Mariani, Joseph  and
      Yvon, Francois},
    booktitle = "Proceedings of the 17th International Conference on Spoken Language Translation",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.iwslt-1.14/",
    doi = "10.18653/v1/2020.iwslt-1.14",
    pages = "122--129",
    abstract = "This paper describes the University of Edinburgh{'}s neural machine translation systems submitted to the IWSLT 2020 open domain Japanese$\leftrightarrow$Chinese translation task. On top of commonplace techniques like tokenisation and corpus cleaning, we explore character mapping and unsupervised decoding-time adaptation. Our techniques focus on leveraging the provided data, and we show the positive impact of each technique through the gradual improvement of BLEU."
}