Project Details
- Consortium:
TU Wien, Human Computer Interaction Group, Institute of Visual Computing and Human-Centered Technology
University of Applied Sciences Campus Wien
University of Vienna , Centre for Translation Studies
St. Pölten University of Applied Sciences, Institute of IT Security Research
Project Contact Information
- Website:
https://genderfair.univie.ac.at -
Dagmar Gromann, University of Vienna
E-Mail
Abstract
With an increased visibility of non-binary people, strategies to overcome gender bias in language beyond a binary conception (male/female) have been proposed, such as gender-inclusive (e.g. Leser:innen) and/or gender-neutral (e.g. Lesens) language. These developments raise interesting questions for language technologies, including machine translation. To address non-binary MT, we propose to organize a three-day participatory workshop to develop translation guidelines for non-binary language use with three communities: (1) members of the non-binary and queer community, (2) human translators, and (3) machine translation experts. We will not present to the participants but they will teach us and discuss the topic in several interactive formats. To finalize the workshop we will organize a public panel discussion with selected experts, at which we will also present the workshop outcomes.
Outcome Summary
follows with the completion of the project
Further Information
Best Paper Award at MuC 2022: Sabrina Burtscher & Katta Spiel
Video
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