@inproceedings{kocmi-etal-2018b-cuni,
    title = "{CUNI} {B}asque-to-{E}nglish Submission in {IWSLT}18",
    author = "Kocmi, Tom  and
      Vari{\v{s}}, Du{\v{s}}an  and
      Bojar, Ond{\v{r}}ej",
    editor = "Turchi, Marco  and
      Niehues, Jan  and
      Frederico, Marcello",
    booktitle = "Proceedings of the 15th International Conference on Spoken Language Translation",
    month = oct # " 29-30",
    year = "2018",
    address = "Brussels",
    publisher = "International Conference on Spoken Language Translation",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2018.iwslt-1.21/",
    pages = "142--146",
    abstract = "We present our submission to the IWSLT18 Low Resource task focused on the translation from Basque-to-English. Our submission is based on the current state-of-the-art self-attentive neural network architecture, Transformer. We further improve this strong baseline by exploiting available monolingual data using the back-translation technique. We also present further improvements gained by a transfer learning, a technique that trains a model using a high-resource language pair (Czech-English) and then fine-tunes the model using the target low-resource language pair (Basque-English)."
}