Gender in Danger? Evaluating Speech Translation Technology on the
MuST-SHE Corpus

Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus

10 June 2020

Beatrice Savoldi

Mattia Antonino Di Gangi

Papers citing "Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus"

10 / 10 papers shown

Title
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation Chiara Manna Afra Alishahi Frédéric Blain Eva Vanmassenhove 27 0 0 13 May 2025
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages Spencer Rarrick Ranjita Naik Sundar Poudel Vishal Chowdhary 39 1 0 22 Feb 2024
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine Translation Pushpdeep Singh 15 0 0 11 Nov 2023
Recent Advances in Direct Speech-to-text Translation Chen Xu Rong Ye Qianqian Dong Chengqi Zhao Tom Ko Mingxuan Wang Tong Xiao Jingbo Zhu 21 18 0 20 Jun 2023
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation Biao Zhang Barry Haddow Rico Sennrich 17 3 0 21 Feb 2023
What Do Compressed Multilingual Machine Translation Models Forget? Alireza Mohammadshahi Vassilina Nikoulina Alexandre Berard Caroline Brun James Henderson Laurent Besacier AI4CE 42 9 0 22 May 2022
CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality Maria Nadejde Anna Currey B. Hsu Xing Niu Marcello Federico Georgiana Dinu 22 24 0 09 May 2022
A Survey on Gender Bias in Natural Language Processing Karolina Stañczak Isabelle Augenstein 30 110 0 28 Dec 2021
Don't speak too fast: The impact of data bias on self-supervised speech models Yen Meng Yi-Hui Chou Andy T. Liu Hung-yi Lee 34 26 0 15 Oct 2021
Evaluating Gender Bias in Speech Translation Marta R. Costa-jussá Christine Basta Gerard I. Gállego 32 21 0 27 Oct 2020