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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.
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Representation of the Sexes in Language
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Mitigating Gender Bias in Natural Language Processing: Literature Review
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Publication Manual of the American Psychological Association , 7th edition
APA. 2020 · 2020
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Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus
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Fine-tuning neural machine translation on gender-balanced datasets
Marta R. Costa-jussà and Adrià de Jorge. 2020 · 2020
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Breeding Gender-aware Direct Speech Translation Systems
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Danielle Saunders, Rosie Sallis, and Bill Byrne. 2020 · 2020
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Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, and Georgiana Dinu. 2021 · 2021
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How to split: the effect of word segmentation on gender bias in speech translation
Marco Gaido, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri, and Marco Turchi. 2021 · 2021
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Gender bias in machine translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, Matteo Negri, and Marco Turchi. 2021 · 2021
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Gender-fair (machine) translation
Manuel Lardelli and Dagmar Gromann. 2022 · 2022
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Welcome to the modern world of pronouns: Identity-inclusive natural language processing beyond gender
Anne Lauscher, Archie Crowley, and Dirk Hovy. 2022 · 2022
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Investigating failures of automatic translationin the case of unambiguous gender
Adithya Renduchintala and Adina Williams. 2022 · 2022
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First the worst: Finding better gender translations during beam search
Danielle Saunders, Rosie Sallis, and Bill Byrne. 2022 · 2022
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Exploiting biased models to de-bias text: A gender-fair rewriting model
Chantal Amrhein, Florian Schottmann, Rico Sennrich, and Samuel Läubli. 2023 · 2023
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User-centric gender rewriting
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Based on billions of words on the internet, people= men
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On the dynamics of gender learning in speech translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, Matteo Negri, and Marco Turchi. 2022a
Cited in the paper.
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What about em? how commercial machine translation fails to handle (neo-)pronouns
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Gate: A challenge set for gender-ambiguous translation examples
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