@inproceedings{azpeitia-etal-2017-weighted,
    title = "Weighted Set-Theoretic Alignment of Comparable Sentences",
    author = "Azpeitia, Andoni  and
      Etchegoyhen, Thierry  and
      Mart{\'i}nez Garcia, Eva",
    editor = "Sharoff, Serge  and
      Zweigenbaum, Pierre  and
      Rapp, Reinhard",
    booktitle = "Proceedings of the 10th Workshop on Building and Using Comparable Corpora",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/W17-2508/",
    doi = "10.18653/v1/W17-2508",
    pages = "41--45",
    abstract = "This article presents the STACCw system for the BUCC 2017 shared task on parallel sentence extraction from comparable corpora. The original STACC approach, based on set-theoretic operations over bags of words, had been previously shown to be efficient and portable across domains and alignment scenarios. Wedescribe an extension of this approach with a new weighting scheme and show that it provides significant improvements on the datasets provided for the shared task."
}