37.390, Books: Gender-fair Language in Translation and Post-editing: Lardelli (2026)

[The LINGUIST List]

LINGUIST List: Vol-37-390. Wed Jan 28 2026. ISSN: 1069 - 4875.

Subject: 37.390, Books: Gender-fair Language in Translation and Post-editing: Lardelli (2026)

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Date: 23-Jan-2026
From: Sebastian Nordhoff [support at langsci-press.org]
Subject: Gender-fair Language in Translation and Post-editing: Lardelli (2026)


Title: Gender-fair Language in Translation and Post-editing
Subtitle: Insights and best practices
Series Title: Translation and Multilingual Natural Language Processing
Publication Year: 2026

Publisher: Language Science Press
           http://langsci-press.org
Book URL: https://langsci-press.org/catalog/book/534

Author(s): Manuel Lardelli

Abstract:

Machine Translation (MT) models knowingly suffer from gender bias,
especially for genders beyond the binary. Since issues of non-binary
representation and language use are still often neglected in both
Translation Studies (TS) and MT, this book investigates the
translation and post-editing of gender-fair language beyond the binary
in a process and product-oriented study. Twelve language professionals
were recruited and asked to either translate or post-edit three brief
English texts into German. In each text, they had to use a different
gender-fair language approach, i.e. (i) gender-neutral rewording, (ii)
gender-inclusive characters, and (iii) neosystems.
Data on the translation and post-editing process were collected by
combining non-participant observation, screen recordings, and
interviews. The produced target texts were annotated to elicit product
data. The focus of the study was not on translation quality but rather
on the ease and success of integrating gender-fair language into the
translation and post-editing process. Findings show that post-editing
is generally faster than translation, and that the use of neosystems
increases screen activity as well as perceived cognitive effort, which
in turn reduces success in using gender-fair language. Finally,
participants indicated a clear preference for a combination of
gender-neutral and gender-inclusive strategies.

Linguistic Field(s): Translation

Written In: English (eng)



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