Image de couverture de livre

What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Savoldi, Beatrice, Papi, Sara, Negri, Matteo, Guerberof, Ana, Bentivogli, Luisa
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models
par: Piergentili, Andrea, et autres
Publié: (2024)

An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation
par: Piergentili, Andrea, et autres
Publié: (2025)

Translation in the Hands of Many:Centering Lay Users in Machine Translation Interactions
par: Savoldi, Beatrice, et autres
Publié: (2025)

Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems
par: Piazzolla, Silvia Alma, et autres
Publié: (2023)

A Prompt Response to the Demand for Automatic Gender-Neutral Translation
par: Savoldi, Beatrice, et autres
Publié: (2024)

Gender-Neutral Rewriting in Italian: Models, Approaches, and Trade-offs
par: Piergentili, Andrea, et autres
Publié: (2025)

Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?
par: Gaido, Marco, et autres
Publié: (2024)

How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena
par: Gaido, Marco, et autres
Publié: (2024)

SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation
par: Papi, Sara, et autres
Publié: (2024)

SimulU: Training-free Policy for Long-form Simultaneous Speech-to-Speech Translation
par: Djanibekov, Amirbek, et autres
Publié: (2026)

StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection
par: Papi, Sara, et autres
Publié: (2024)

Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems
par: Gaido, Marco, et autres
Publié: (2025)

How to Evaluate Speech Translation with Source-Aware Neural MT Metrics
par: Cettolo, Mauro, et autres
Publié: (2025)

Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation
par: Conti, Lina, et autres
Publié: (2025)

DOA: Training-Free Decoder-Only Attention Policy for Long-Form Simultaneous Translation with SpeechLLMs
par: Papi, Sara, et autres
Publié: (2026)

NUTSHELL: A Dataset for Abstract Generation from Scientific Talks
par: Züfle, Maike, et autres
Publié: (2025)

Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with mGeNTE
par: Savoldi, Beatrice, et autres
Publié: (2025)

SBAAM! Eliminating Transcript Dependency in Automatic Subtitling
par: Gaido, Marco, et autres
Publié: (2024)

SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
par: Fucci, Dennis, et autres
Publié: (2024)

Cross-Attention is Half Explanation in Speech-to-Text Models
par: Papi, Sara, et autres
Publié: (2025)

Different Speech Translation Models Encode and Translate Speaker Gender Differently
par: Fucci, Dennis, et autres
Publié: (2025)

GFG -- Gender-Fair Generation: A CALAMITA Challenge
par: Frenda, Simona, et autres
Publié: (2024)

Better Late Than Never: Meta-Evaluation of Latency Metrics for Simultaneous Speech-to-Text Translation
par: Polák, Peter, et autres
Publié: (2025)

AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation
par: Papi, Sara, et autres
Publié: (2023)

Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations
par: Gerrits, Kyo, et autres
Publié: (2026)

MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks
par: Papi, Sara, et autres
Publié: (2025)

The Warmup Dilemma: How Learning Rate Strategies Impact Speech-to-Text Model Convergence
par: Gaido, Marco, et autres
Publié: (2025)

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian
par: Papi, Sara, et autres
Publié: (2025)

Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
par: Mastromichalakis, Orfeas Menis, et autres
Publié: (2025)

When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP
par: Papi, Sara, et autres
Publié: (2023)

Do What I Say: A Spoken Prompt Dataset for Instruction-Following
par: Züfle, Maike, et autres
Publié: (2026)

Echoes of Phonetics: Unveiling Relevant Acoustic Cues for ASR via Feature Attribution
par: Fucci, Dennis, et autres
Publié: (2025)

MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages
par: Gaido, Marco, et autres
Publié: (2024)

Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
par: Attanasio, Giuseppe, et autres
Publié: (2024)

Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison
par: Lam, Tsz Kin, et autres
Publié: (2025)

Generative AI Practices, Literacy, and Divides: An Empirical Analysis in the Italian Context
par: Savoldi, Beatrice, et autres
Publié: (2025)

The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models
par: Conti, Lina, et autres
Publié: (2025)

To MT or not to MT: An eye-tracking study on the reception by Dutch readers of different translation and creativity levels
par: Gerrits, Kyo, et autres
Publié: (2025)

Gender Bias in English-to-Greek Machine Translation
par: Gkovedarou, Eleni, et autres
Publié: (2025)

Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation
par: Singh, Pushpdeep
Publié: (2023)