@inproceedings{bawden-etal-2016-investigating,
    title = "Investigating gender adaptation for speech translation",
    author = "Bawden, Rachel  and
      Wisniewski, Guillaume  and
      Maynard, H{\'e}l{\`e}ne",
    editor = "Danlos, Laurence  and
      Hamon, Thierry",
    booktitle = "Actes de la conf{\'e}rence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Posters)",
    month = "7",
    year = "2016",
    address = "Paris, France",
    publisher = "AFCP - ATALA",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2016.jeptalnrecital-poster.23/",
    pages = "490--497",
    abstract = "In this paper we investigate the impact of the integration of context into dialogue translation. We present a new contextual parallel corpus of television subtitles and show how taking into account speaker gender can significantly improve machine translation quality in terms of B LEU and M ETEOR scores. We perform a manual analysis, which suggests that these improvements are not necessary related to the morphological consequences of speaker gender, but to more general linguistic divergences."
}