@inproceedings{khayrallah-etal-2017-neural,
    title = "Neural Lattice Search for Domain Adaptation in Machine Translation",
    author = "Khayrallah, Huda  and
      Kumar, Gaurav  and
      Duh, Kevin  and
      Post, Matt  and
      Koehn, Philipp",
    booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
    month = nov,
    year = "2017",
    address = "Taipei, Taiwan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://aclanthology.org/I17-2004",
    pages = "20--25",
    abstract = "Domain adaptation is a major challenge for neural machine translation (NMT). Given unknown words or new domains, NMT systems tend to generate fluent translations at the expense of adequacy. We present a stack-based lattice search algorithm for NMT and show that constraining its search space with lattices generated by phrase-based machine translation (PBMT) improves robustness. We report consistent BLEU score gains across four diverse domain adaptation tasks involving medical, IT, Koran, or subtitles texts.",
}