@inproceedings{bawden-etal-2018-detecting,
    title = "Detecting context-dependent sentences in parallel corpora",
    author = "Bawden, Rachel  and
      Lavergne, Thomas  and
      Rosset, Sophie",
    editor = "S{\'e}billot, Pascale  and
      Claveau, Vincent",
    booktitle = "Actes de la Conf{\'e}rence TALN. Volume 1 - Articles longs, articles courts de TALN",
    month = "5",
    year = "2018",
    address = "Rennes, France",
    publisher = "ATALA",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2018.jeptalnrecital-court.22/",
    pages = "393--400",
    abstract = "In this article, we provide several approaches to the automatic identification of parallel sentences that require sentence-external linguistic context to be correctly translated. Our long-term goal is to automatically construct a test set of context-dependent sentences in order to evaluate machine translation models designed to improve the translation of contextual, discursive phenomena. We provide a discussion and critique that show that current approaches do not allow us to achieve our goal, and suggest that for now evaluating individual phenomena is likely the best solution."
}