Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation

التفاصيل البيبلوغرافية
العنوان: Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation
المؤلفون: Gromann, Dagmar, Lardelli, Manuel, Spiel, Katta, Burtscher, Sabrina, Klausner, Lukas Daniel, Mettinger, Arthur, Miladinovic, Igor, Schefer-Wenzl, Sigrid, Duh, Daniela, Bühn, Katharina
المصدر: Proceedings of the First Workshop on Gender-Inclusive Translation Technologies (GITT 2023), 2023, 49-59
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Computers and Society
الوصف: Recent years have seen a strongly increased visibility of non-binary people in public discourse. Accordingly, considerations of gender-fair language go beyond a binary conception of male/female. However, language technology, especially machine translation (MT), still suffers from binary gender bias. Proposing a solution for gender-fair MT beyond the binary from a purely technological perspective might fall short to accommodate different target user groups and in the worst case might lead to misgendering. To address this challenge, we propose a method and case study building on participatory action research to include experiential experts, i.e., queer and non-binary people, translators, and MT experts, in the MT design process. The case study focuses on German, where central findings are the importance of context dependency to avoid identity invalidation and a desire for customizable MT solutions.
Comment: 11 pages, 4 figures
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2306.08906
رقم الأكسشن: edsarx.2306.08906
قاعدة البيانات: arXiv