566 citations · 568 across the 5 of their papers we have counts for
5 papers
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…
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…
Achieving Human Parity on Automatic Chinese to English News Translation
Hany Hassan, Anthony Aue, Chang Chen +21
Machine translation has made rapid advances in recent years. Millions of people are using it today in online translation systems and mobile applications in order to communicate acr…