Gender inequality is embedded in our communication practices and perpetuated in
translation technologies. This becomes particularly apparent when translating into …

Gender-neutral translation (GNT) that avoids biased and undue binary assumptions is a
pivotal challenge for the creation of more inclusive translation technologies. Advancements …

Machine translation (MT) models are known to suffer from gender bias, especially when
translating into languages with extensive gendered morphology. Accordingly, they still fall …

The translation of gender-neutral person-referring terms (eg, the students) is often non-
trivial. Translating from English into German poses an interesting case--in German, person …

The increased visibility of non-binary individuals has fostered discussions around language
and inclusivity. Due to differences in grammatical structures and language-specific …

Gender-neutral language reflects societal and linguistic shifts towards greater inclusivity by
avoiding the implication that one gender is the norm over others. This is particularly relevant …

This collection critically examines the practical impacts of machine translation (MT) through
the lens of an ethics of care. It addresses the ideological issues in MT development linked to …

Bilingual dictionaries are bedrock components for several language tasks, including
translation. However, dictionaries are traditionally fixed in time, thus excluding those …

Abstract Machine Translation (MT) knowingly suffers from gender bias and research in this
field often focuses on the tendency of MT systems to overuse masculine forms or reproduce …

MT systems, as well as other translation technologies, inherit and spread bias from the data
they are trained on, reflecting societal bias. Gender bias is by now a primary issue in NLP …