This study focuses on the growing importance of gender-fair language and explores innovative strategies proposed also in other languages to avoid gender-specific endings. We present a set of guidelines for the annotation and reformulation of gender-(un)fair texts and their application to a corpus of 1,024 portions of university administrative documents in Italian. Overall, the guidelines presented in this study prove to be valuable both practically and theoretically. They help identify and address non-inclusive expressions while highlighting the complexities of obscuration and visibility in gender-fair language reformulation. In addition, the statistical analysis of the created corpus shows how administrative texts tend to contain gender-unfair language, especially the masculine overextended expressions, showing the need to adopt specific and complete guidelines that lead (and support the staff training) to the use of a more gender-fair language.

Beyond obscuration and visibility: thoughts on the different strategies of gender-fair language in Italian / Rosola, Martina; Frenda, Simona; Teresa Cignarella, Alessandra; Pellegrini, Matteo; Marra, Andrea; Floris, Mara. - 3596:(2023). (Intervento presentato al convegno 9th Italian Conference on Computational Linguistics, CLiC-it 2023 tenutosi a Venezia nel 0 November 2023through 2 December 2023).

Beyond obscuration and visibility: thoughts on the different strategies of gender-fair language in Italian.

Mara Floris
Ultimo
2023-01-01

Abstract

This study focuses on the growing importance of gender-fair language and explores innovative strategies proposed also in other languages to avoid gender-specific endings. We present a set of guidelines for the annotation and reformulation of gender-(un)fair texts and their application to a corpus of 1,024 portions of university administrative documents in Italian. Overall, the guidelines presented in this study prove to be valuable both practically and theoretically. They help identify and address non-inclusive expressions while highlighting the complexities of obscuration and visibility in gender-fair language reformulation. In addition, the statistical analysis of the created corpus shows how administrative texts tend to contain gender-unfair language, especially the masculine overextended expressions, showing the need to adopt specific and complete guidelines that lead (and support the staff training) to the use of a more gender-fair language.
2023
Annotation Schema, Italian, Gender-fair language
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/156496
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