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

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

14 / 14 papers shown

Title
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement Gavin Abercrombie Verena Rieser Dirk Hovy 76 17 0 25 Jan 2023
Choose Your Lenses: Flaws in Gender Bias Evaluation Hadas Orgad Yonatan Belinkov 72 37 0 20 Oct 2022
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns Stephanie Brandl Ruixiang Cui Anders Søgaard 69 21 0 11 Apr 2022
Fair and Argumentative Language Modeling for Computational Argumentation Carolin Holtermann Anne Lauscher Simone Paolo Ponzetto 42 21 0 08 Apr 2022
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation Shahar Levy Koren Lazar Gabriel Stanovsky 65 70 0 08 Sep 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies Sunipa Dev Masoud Monajatipoor Anaelia Ovalle Arjun Subramonian J. M. Phillips Kai-Wei Chang 116 170 0 27 Aug 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models Soumya Barikeri Anne Lauscher Ivan Vulić Goran Glavaš 91 182 0 07 Jun 2021
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation Adithya Renduchintala Denise Díaz Kenneth Heafield Xian Li Mona T. Diab 56 41 0 01 Jun 2021
Gender Bias in Machine Translation Beatrice Savoldi Marco Gaido L. Bentivogli Matteo Negri Marco Turchi 154 206 0 13 Apr 2021
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It Danielle Saunders Rosie Sallis Bill Byrne 60 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 155 1,248 0 28 May 2020
Automatically Identifying Gender Issues in Machine Translation using Perturbations Hila Gonen Kellie Webster 71 40 0 29 Apr 2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem Danielle Saunders Bill Byrne AI4CE 121 140 0 09 Apr 2020
Toward Gender-Inclusive Coreference Resolution Yang Trista Cao Hal Daumé 78 145 0 30 Oct 2019