Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens

Findings of the Association for Computational Linguistics: ACL 2026 2026 Open access

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Authors: Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, Debora Taye Tesfaye, Elbethel Daniel Zewdie, Ikram Behiru Nesiru, Jitu Ewnetu Hailu, Senait Mengesha Yayo
DOI: 10.18653/v1/2026.findings-acl.330
Cited by: 0

Abstract

Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, Debora Taye Tesfaye, Elbethel Daniel Zewdie, Ikram Behiru Nesiru, Jitu Ewnetu Hailu, Senait Mengesha Yayo. Findings of the Association for Computational Linguistics: ACL 2026. 2026.

Fields of Study & Subjects

Natural Language Processing Techniques Ethics and Social Impacts of AI Topic Modeling

Publication details

Journal / source
Findings of the Association for Computational Linguistics: ACL 2026
Publisher
Association for Computational Linguistics
Pages
6632–6655
Publication date
1 January 2026