@inproceedings{escolano-etal-2021-multi,
title = "Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation",
author = "Escolano, Carlos and
Ojeda, Graciela and
Basta, Christine and
Costa-jussa, Marta R.",
editor = "Bandyopadhyay, Sivaji and
Devi, Sobha Lalitha and
Bhattacharyya, Pushpak",
booktitle = "Proceedings of the 18th International Conference on Natural Language Processing (ICON)",
month = dec,
year = "2021",
address = "National Institute of Technology Silchar, Silchar, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2021.icon-main.3/",
pages = "12--17",
abstract = "Machine Translation is highly impacted by social biases present in data sets, indicating that it reflects and amplifies stereotypes. In this work, we study mitigating gender bias by jointly learning the translation, the part-of-speech, and the gender of the target language with different morphological complexity. This approach has shown improvements up to 6.8 points in gender accuracy without significantly impacting the translation quality."
}
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%0 Conference Proceedings
%T Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation
%A Escolano, Carlos
%A Ojeda, Graciela
%A Basta, Christine
%A Costa-jussa, Marta R.
%Y Bandyopadhyay, Sivaji
%Y Devi, Sobha Lalitha
%Y Bhattacharyya, Pushpak
%S Proceedings of the 18th International Conference on Natural Language Processing (ICON)
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C National Institute of Technology Silchar, Silchar, India
%F escolano-etal-2021-multi
%X Machine Translation is highly impacted by social biases present in data sets, indicating that it reflects and amplifies stereotypes. In this work, we study mitigating gender bias by jointly learning the translation, the part-of-speech, and the gender of the target language with different morphological complexity. This approach has shown improvements up to 6.8 points in gender accuracy without significantly impacting the translation quality.
%U https://aclanthology.org/2021.icon-main.3/
%P 12-17
Markdown (Informal)
[Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation](https://aclanthology.org/2021.icon-main.3/) (Escolano et al., ICON 2021)
ACL