Recently, speech-to-text translation has attracted more and more attention and many studies
have emerged rapidly. In this paper, we present a comprehensive survey on direct speech …

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

Although recent years have brought significant progress in improving translation of
unambiguously gendered sentences, translation of ambiguously gendered input remains …

Abstract We present the Assignment-Maximization Spectral Attribute removaL (AMSAL)
algorithm, which erases information from neural representations when the information to be …

As generic machine translation (MT) quality has improved, the need for targeted
benchmarks that explore fine-grained aspects of quality has increased. In particular, gender …

This paper introduces the concept of actionability in the context of bias measures in natural
language processing (NLP). We define actionability as the degree to which a …

While colonization has sociohistorically impacted people's identities across various
dimensions, those colonial values and biases continue to be perpetuated by sociotechnical …

Gender inclusivity in language technologies has become a prominent research topic. In this
study, we explore gender-neutral translation (GNT) as a form of gender inclusivity and a goal …

Self-supervised models for speech processing emerged recently as popular foundation
blocks in speech processing pipelines. These models are pre-trained on unlabeled audio …

Critical studies found NLP systems to bias based on gender and racial identities. However,
few studies focused on identities defined by cultural factors like religion and nationality …