MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation

2 November 2022

Papers citing "MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation"

4 / 4 papers shown

Title
FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity Fanny Jourdan Yannick Chevalier Cécile Favre 22 0 0 22 Apr 2025
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages Spencer Rarrick Ranjita Naik Sundar Poudel Vishal Chowdhary 27 1 0 22 Feb 2024
GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena Eva Vanmassenhove J. Monti 27 14 0 05 Aug 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016