@inproceedings{paolucci-etal-2023-gender,
    title = "Gender-Fair Language in Translation: A Case Study",
    author = "Paolucci, Angela Balducci  and
      Lardelli, Manuel  and
      Gromann, Dagmar",
    editor = "Vanmassenhove, Eva  and
      Savoldi, Beatrice  and
      Bentivogli, Luisa  and
      Daems, Joke  and
      Hackenbuchner, Jani{\c{c}}a",
    booktitle = "Proceedings of the First Workshop on Gender-Inclusive Translation Technologies",
    month = jun,
    year = "2023",
    address = "Tampere, Finland",
    publisher = "European Association for Machine Translation",
    url = "https://aclanthology.org/2023.gitt-1.2",
    pages = "13--23",
    abstract = "With an increasing visibility of non-binary individuals, a growing number of language-specific strategies to linguistically include all genders or neutralize any gender references can be observed. Due to this multiplicity of proposed strategies and gender-specific grammatical differences across languages, selecting the one option to translate gender-fair language is challenging for machines and humans alike. As a first step towards gender-fair translation, we conducted a survey with translators to compare four gender-fair translations from a notional gender language, English, to a grammatical gender language, German. Proposed translations were rated by means of best-worst scaling as well as regarding their readability and comprehensibility. Participants expressed a clear preference for strategies with gender-inclusive character, i.e., colon.",
}