23 citations · 55 across the 10 of their papers we have counts for
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cs.CL2021★ 2 cited
Faithful Target Attribute Prediction in Neural Machine Translation
Xing Niu, Georgiana Dinu, Prashant Mathur +1
The training data used in NMT is rarely controlled with respect to specific attributes, such as word casing or gender, which can cause errors in translations. We argue that predict…
cs.CL2021★ 11 cited
Improving Gender Translation Accuracy with Filtered Self-Training
Prafulla Kumar Choubey, Anna Currey, Prashant Mathur +1
Targeted evaluations have found that machine translation systems often output incorrect gender, even when the gender is clear from context. Furthermore, these incorrectly gendered…