@inproceedings{espana-bonet-van-genabith-2017-going,
    title = "Going beyond zero-shot {MT}: combining phonological, morphological and semantic factors. The {U}d{S}-{DFKI} System at {IWSLT} 2017",
    author = "Espa{\~n}a-Bonet, Cristina  and
      van Genabith, Josef",
    editor = "Sakti, Sakriani  and
      Utiyama, Masao",
    booktitle = "Proceedings of the 14th International Conference on Spoken Language Translation",
    month = dec # " 14-15",
    year = "2017",
    address = "Tokyo, Japan",
    publisher = "International Workshop on Spoken Language Translation",
    url = "https://aclanthology.org/2017.iwslt-1.2",
    pages = "15--22",
    abstract = "This paper describes the UdS-DFKI participation to the multilingual task of the IWSLT Evaluation 2017. Our approach is based on factored multilingual neural translation systems following the small data and zero-shot training conditions. Our systems are designed to fully exploit multilinguality by including factors that increase the number of common elements among languages such as phonetic coarse encodings and synsets, besides shallow part-of-speech tags, stems and lemmas. Document level information is also considered by including the topic of every document. This approach improves a baseline without any additional factor for all the language pairs and even allows beyond-zero-shot translation. That is, the translation from unseen languages is possible thanks to the common elements {---}especially synsets in our models{---} among languages.",
}