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Gender bias in machine translation (MT) sys- tems poses a significant challenge to achieving accurate and inclusive translations.
Evaluating gender bias in machine translation
G. Stanovsky, N.A. Smith, and L. Zettlemoyer. 2019 · 1906
Earlier work this paper cites.
Gender bias in english-hindi machine translation: A case study
A. Gupta, S. Chauhan, and A. Agrawal. 2018 · 2018
Earlier work this paper cites.
Morphology in dravidian languages
R. Amritavalli. 2019 · 2019
Earlier work this paper cites.
Gender bias in english-bengali machine translation
R. Singh and A. Ghosh. 2020 · 2020
Cited alongside, same era.
Mitigating gender bias in machine translation with target gender annotations
Artūrs Stafanovičs, Toms Bergmanis, and Mārcis Pinnis. 2020 · 2020
Cited alongside, same era.
Gender bias in machine translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, Matteo Negri, and Marco Turchi. 2021 · 2021
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q.V. Le, and D. Zhou. 2022 · 2022
Later among the works it cites.
Akal badi ya bias: An exploratory study of gender bias in hindi language technology
R. Hada, S. Husain, V. Gumma, H. Diddee, A. Yadavalli, A. Seth, N. Kulkarni, U. Gadiraju, A. Vashistha, V. Seshadri, and K. Bali. 2024 · 2024
Closest in time.
Evaluating gender bias in large language models via chain-of-thought prompting
M. Kaneko, D. Bollegala, N. Okazaki, and T. Baldwin. 2024 · 2024
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