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

As part of the WMT-2023" Test suites" shared task, in this paper we summarize the results of
two test suites evaluations: MuST-SHE-WMT23 and INES. By focusing on the en-de and de …

With the increased visibility of non-binary people, more and more strategies have been
proposed for gender-fair language in languages that have grammatical gender, such as …

Machine Translation (MT) continues to make significant strides in quality and is increasingly
adopted on a larger scale. Consequently, analyses have been redirected to more nuanced …

Abstract Machine Translation (MT) models are well-known to suffer from gender bias,
especially for gender beyond a binary conception. Due to the multiplicity of language …

With an increasing visibility of non-binary individuals, a growing number of language-
specific strategies to linguistically include all genders or neutralize any gender references …

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-inclusive language is of key importance to the IQA, the international governing body
for quadball, a mixed-gender contact sport that explicitly welcomes players of all genders …

Artificial intelligence (AI) is everywhere. It has proved very useful in areas such as domestic
robots, extended virtual reality, assistive technology, medical advancements, and video …