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Good, but not always Fair: An Evaluation of Gender Bias for three
  commercial Machine Translation Systems

Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems

9 June 2023
Silvia Alma Piazzolla
Beatrice Savoldi
L. Bentivogli
ArXivPDFHTML

Papers citing "Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems"

3 / 3 papers shown
Title
GATE: A Challenge Set for Gender-Ambiguous Translation Examples
GATE: A Challenge Set for Gender-Ambiguous Translation Examples
Spencer Rarrick
Ranjita Naik
Varun Mathur
Sundar Poudel
Vishal Chowdhary
AI4CE
17
15
0
07 Mar 2023
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
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
6,435
0
26 Sep 2016
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Neural versus Phrase-Based Machine Translation Quality: a Case Study
L. Bentivogli
Arianna Bisazza
Mauro Cettolo
Marcello Federico
179
327
0
16 Aug 2016
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