作者位次 #3/8ACL 2026Findings· Findings of ACL
Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens
Hellina Hailu Nigatu · Bethelhem Yemane Mamo · Bontu Fufa Balcha · Debora Taye Tesfaye · Elbethel Daniel Zewdie · Ikram Behiru Nesiru · Jitu Ewnetu Hailu · Senait Mengesha Yayo
摘要
As low-resourced languages are increasingly incorporated into NLP research, there is an emphasis on collecting large-scale datasets. But in prioritizing quantity over quality, we risk 1) building language technologies that perform poorly for these languages and 2) producing harmful content that p...