@inproceedings{bahar-etal-2017-rwth,
    title = "The {RWTH} {A}achen Machine Translation Systems for {IWSLT} 2017",
    author = "Bahar, Parnia  and
      Rosendahl, Jan  and
      Rossenbach, Nick  and
      Ney, Hermann",
    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://preview.aclanthology.org/jlcl-multiple-ingestion/2017.iwslt-1.4/",
    pages = "29--34",
    abstract = "This work describes the Neural Machine Translation (NMT) system of the RWTH Aachen University developed for the English{\$}German tracks of the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT) 2017. We use NMT systems which are augmented by state-of-the-art extensions. Furthermore, we experiment with techniques that include data filtering, a larger vocabulary, two extensions to the attention mechanism and domain adaptation. Using these methods, we can show considerable improvements over the respective baseline systems and our IWSLT 2016 submission."
}