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%0 Conference Proceedings
%T Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation
%A Iluz, Bar
%A Limisiewicz, Tomasz
%A Stanovsky, Gabriel
%A Mareček, David
%Y Park, Jong C.
%Y Arase, Yuki
%Y Hu, Baotian
%Y Lu, Wei
%Y Wijaya, Derry
%Y Purwarianti, Ayu
%Y Krisnadhi, Adila Alfa
%S Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2023
%8 November
%I Association for Computational Linguistics
%C Nusa Dua, Bali
%F iluz-etal-2023-exploring
%R 10.18653/v1/2023.ijcnlp-main.57
%U https://aclanthology.org/2023.ijcnlp-main.57
%U https://doi.org/10.18653/v1/2023.ijcnlp-main.57
%P 885-896

Markdown (Informal)

[Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation](https://aclanthology.org/2023.ijcnlp-main.57) (Iluz et al., IJCNLP-AACL 2023)

• Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation (Iluz et al., IJCNLP-AACL 2023)

ACL

• Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, and David Mareček. 2023. Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 885–896, Nusa Dua, Bali. Association for Computational Linguistics.