How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Marco Gaido, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri, Marco Turchi


Anthology ID:
2021.findings-acl.313
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3576–3589
Language:
URL:
https://aclanthology.org/2021.findings-acl.313
DOI:
10.18653/v1/2021.findings-acl.313
Bibkey:
Cite (ACL):
Marco Gaido, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri, and Marco Turchi. 2021. How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3576–3589, Online. Association for Computational Linguistics.
Cite (Informal):
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation (Gaido et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.313.pdf
Video:
 https://aclanthology.org/2021.findings-acl.313.mp4
Code
 mgaido91/FBK-fairseq-ST