Evaluating Gender Bias in Speech Translation (original) (raw)

Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus

mattia di gangi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

beatrice savoldi

arXiv (Cornell University), 2023

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

Renáta Németh

arXiv (Cornell University), 2020

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How to measure gender bias in machine translation: Real-world oriented machine translators, multiple reference points

Renáta Németh

Social Sciences & Humanities Open, 2022

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Gender Bias in Machine Translation

Ishika Agrawal

2021

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Breeding Gender-aware Direct Speech Translation Systems

beatrice savoldi

arXiv (Cornell University), 2020

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Gender-Fair (Machine) Translation

Manuel Lardelli

Proceedings of the New Trends in Translation and Technology Conference - NeTTT 2022, 2023

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GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation

GEORGIANA DINU

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus

beatrice savoldi

arXiv (Cornell University), 2023

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Investigating Gender Bias in Machine Translation. A Case Study between English and Italian

Ester Dolei

2020

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Improving Gender Translation Accuracy with Filtered Self-Training

GEORGIANA DINU

Cornell University - arXiv, 2021

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Building a Participatory Data Design Approach to Examine Gender Bias in English-Twi Machine Translation

Abigail Oppong

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

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VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services

Biplav Srivastava

2021

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Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES

beatrice savoldi

arXiv (Cornell University), 2023

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A Prompt Response to the Demand for Automatic Gender-Neutral Translation

beatrice savoldi

arXiv (Cornell University), 2024

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Gender bias in machine translation: an analysis of Google Translate in English and Spanish

Maria L. Medel

Academia Letters, 2021

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Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models

beatrice savoldi

arXiv (Cornell University), 2024

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Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation

Denise Diaz

2021

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Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters

Christine Basta

Proceedings of the AAAI Conference on Artificial Intelligence

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Gender aware spoken language translation applied to English-Arabic

Ahmed Y. Tawfik

2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP)

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Getting Gender Right in Neural Machine Translation

Eva Vanmassenhove

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

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Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation

Hyukhun Koh, Dongdong Zhang, Kyomin Jung, Minwoo Lee

arXiv (Cornell University), 2023

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Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters

Christine Basta

ArXiv, 2020

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Investigating Failures of Automatic Translation in the Case of Unambiguous Gender

Adina Williams

ArXiv, 2021

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Gender Bias in Translation Using Google Translate: Problems and Solution

Tira Nur Fitria

Language Circle: Journal of Language and Literature, 2021

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Identifying and Reducing Gender Bias in Word-Level Language Models

Shikha Bordia

ArXiv, 2019

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Roadblocks in Gender Bias Measurement for Diachronic Corpora

Jeanna Matthews

Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change

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Investigating Gender Bias in BERT

Rishabh Bhardwaj

Cogn. Comput., 2021

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Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System

Nicolas BALLIER

2022

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Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation

Manuel Lardelli, Sabrina Burtscher

arXiv (Cornell University), 2023

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A Survey on Gender Bias in Natural Language Processing

Karolina Stanczak

ArXiv, 2021

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DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias

Mahdi Zakizadeh

arXiv (Cornell University), 2023

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A Case Study of Natural Gender Phenomena in Translation. A Comparison of Google Translate, Bing Microsoft Translator and DeepL for English to Italian, French and Spanish

Argentina Anna Rescigno

2020

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Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019

Will Radford

Proceedings of the First Workshop on Gender Bias in Natural Language Processing, 2019

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Mitigating Gender Bias in Natural Language Processing: Literature Review

Mai ElSherief

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

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