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How to Measure Gender Bias in Machine Translation: Optimal Translators,
  Multiple Reference Points

How to Measure Gender Bias in Machine Translation: Optimal Translators, Multiple Reference Points

12 November 2020
A. Farkas
Renáta Németh
ArXivPDFHTML

Papers citing "How to Measure Gender Bias in Machine Translation: Optimal Translators, Multiple Reference Points"

2 / 2 papers shown
Title
Examining Covert Gender Bias: A Case Study in Turkish and English
  Machine Translation Models
Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models
Chloe Ciora
Nur Iren
Malihe Alikhani
32
20
0
23 Aug 2021
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
718
6,748
0
26 Sep 2016
1