@inproceedings{nowakowski-dwojak-2021-adam,
    title = "{A}dam {M}ickiewicz {U}niversity{'}s {E}nglish-{H}ausa Submissions to the {WMT} 2021 News Translation Task",
    author = "Nowakowski, Artur  and
      Dwojak, Tomasz",
    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/fix-sig-urls/2021.wmt-1.14/",
    pages = "167--171",
    abstract = "This paper presents the Adam Mickiewicz University{'}s (AMU) submissions to the WMT 2021 News Translation Task. The submissions focus on the English{\ensuremath{\leftrightarrow}}Hausa translation directions, which is a low-resource translation scenario between distant languages. Our approach involves thorough data cleaning, transfer learning using a high-resource language pair, iterative training, and utilization of monolingual data via back-translation. We experiment with NMT and PB-SMT approaches alike, using the base Transformer architecture for all of the NMT models while utilizing PB-SMT systems as comparable baseline solutions."
}