ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.16051
  4. Cited By
What about em? How Commercial Machine Translation Fails to Handle
  (Neo-)Pronouns

What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns

25 May 2023
Anne Lauscher
Debora Nozza
Archie Crowley
E. Miltersen
Dirk Hovy
ArXivPDFHTML

Papers citing "What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns"

3 / 3 papers shown
Title
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in
  German Text Classification
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification
Andreas Waldis
Joel Birrer
Anne Lauscher
Iryna Gurevych
15
1
0
26 Sep 2024
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and
  Prompt Engineering May Not Help You
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
Felix Friedrich
Katharina Hämmerl
P. Schramowski
Manuel Brack
Jindrich Libovický
Kristian Kersting
Alexander M. Fraser
EGVM
10
10
0
29 Jan 2024
GENder-IT: An Annotated English-Italian Parallel Challenge Set for
  Cross-Linguistic Natural Gender Phenomena
GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena
Eva Vanmassenhove
J. Monti
22
14
0
05 Aug 2021
1