GENder-IT: An Annotated English-Italian Parallel Challenge Set for
Cross-Linguistic Natural Gender Phenomena

v1v2 (latest)

GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena

5 August 2021

Eva Vanmassenhove

ArXiv (abs)PDF HTML

Papers citing "GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena"

6 / 6 papers shown

Title
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It Danielle Saunders Rosie Sallis Bill Byrne 63 64 0 11 Oct 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 157 1,257 0 28 May 2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem Danielle Saunders Bill Byrne AI4CE 124 140 0 09 Apr 2020
Getting Gender Right in Neural Machine Translation Eva Vanmassenhove Christian Hardmeier Andy Way 85 197 0 11 Sep 2019
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 86 441 0 11 May 2018
Personalized Machine Translation: Preserving Original Author Traits Ella Rabinovich Shachar Mirkin Raj Nath Patel Lucia Specia S. Wintner 66 116 0 18 Oct 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.