@inproceedings{khayrallah-etal-2018-jhu,
    title = "The {JHU} Parallel Corpus Filtering Systems for {WMT} 2018",
    author = "Khayrallah, Huda  and
      Xu, Hainan  and
      Koehn, Philipp",
    booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
    month = oct,
    year = "2018",
    address = "Belgium, Brussels",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-6479",
    doi = "10.18653/v1/W18-6479",
    pages = "896--899",
    abstract = "This work describes our submission to the WMT18 Parallel Corpus Filtering shared task. We use a slightly modified version of the Zipporah Corpus Filtering toolkit (Xu and Koehn, 2017), which computes an adequacy score and a fluency score on a sentence pair, and use a weighted sum of the scores as the selection criteria. This work differs from Zipporah in that we experiment with using the noisy corpus to be filtered to compute the combination weights, and thus avoids generating synthetic data as in standard Zipporah.",
}