Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges

• URL: http://arxiv.org/abs/2301.10075v3
• Date: Tue, 4 Jul 2023 09:01:41 GMT
• Title: Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges
• Authors: Andrea Piergentili, Dennis Fucci, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri
• Abstract summary: We explore gender-neutral translation (GNT) as a form of gender inclusivity and a goal to be achieved by machine translation (MT) models. Specifically, we focus on translation from English into Italian, a language pair representative of salient gender-related linguistic transfer problems.
• Score: 11.37307883423629
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Gender inclusivity in language technologies has become a prominent research topic. In this study, we explore gender-neutral translation (GNT) as a form of gender inclusivity and a goal to be achieved by machine translation (MT) models, which have been found to perpetuate gender bias and discrimination. Specifically, we focus on translation from English into Italian, a language pair representative of salient gender-related linguistic transfer problems. To define GNT, we review a selection of relevant institutional guidelines for gender-inclusive language, discuss its scenarios of use, and examine the technical challenges of performing GNT in MT, concluding with a discussion of potential solutions to encourage advancements toward greater inclusivity in MT.

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