activity
20232026
most citedReducing Gender Bias in Machine Translation through Counterfactual Data Generation

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.CL2024

GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages

Spencer Rarrick, Ranjita Naik, Sundar Poudel +1

Neural Machine Translation (NMT) continues to improve in quality and adoption, yet the inadvertent perpetuation of gender bias remains a significant concern. Despite numerous studi…