@inproceedings{ferrero-etal-2017-deep,
    title = "Deep Investigation of Cross-Language Plagiarism Detection Methods",
    author = "Ferrero, J{\'e}r{\'e}my  and
      Besacier, Laurent  and
      Schwab, Didier  and
      Agn{\`e}s, Fr{\'e}d{\'e}ric",
    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://aclanthology.org/W17-2502",
    doi = "10.18653/v1/W17-2502",
    pages = "6--15",
    abstract = "This paper is a deep investigation of cross-language plagiarism detection methods on a new recently introduced open dataset, which contains parallel and comparable collections of documents with multiple characteristics (different genres, languages and sizes of texts). We investigate cross-language plagiarism detection methods for 6 language pairs on 2 granularities of text units in order to draw robust conclusions on the best methods while deeply analyzing correlations across document styles and languages.",
}