1 citations · 2 across the 4 of their papers we have counts for
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Evaluating Gender Bias in the Translation of Gender-Neutral Languages into English
Spencer Rarrick, Ranjita Naik, Sundar Poudel +1
Machine Translation (MT) continues to improve in quality and adoption, yet the inadvertent perpetuation of gender bias remains a significant concern. Despite numerous studies into…
Reducing Gender Bias in Machine Translation through Counterfactual Data Generation
Ranjita Naik, Spencer Rarrick, Vishal Chowdhary
Recent advances in neural methods have led to substantial improvement in the quality of Neural Machine Translation (NMT) systems. However, these systems frequently produce translat…
GATE: A Challenge Set for Gender-Ambiguous Translation Examples
Spencer Rarrick, Ranjita Naik, Varun Mathur +2
Although recent years have brought significant progress in improving translation of unambiguously gendered sentences, translation of ambiguously gendered input remains relatively u…