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Assessing Gender Bias in Particle Physics and Social Science Recommendations for Academic Jobs
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In: Social Sciences; Volume 11; Issue 2; Pages: 74 (2022)
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Measuring Gender Bias in Contextualized Embeddings
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In: Computer Sciences & Mathematics Forum; Volume 3; Issue 1; Pages: 3 (2022)
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Linguistic Sexism in the Pre-intermediate Market Leader: Business English Course Book
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In: Journal of International Women's Studies (2021)
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Gender Bias in Neural Translation: a preliminary study ; Biais de genre dans un système de traduction automatique neuronale : une étude préliminaire
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In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265895 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.11-25 ; https://talnrecital2021.inria.fr/ (2021)
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Machine Translation and Gender biases in video game localisation: a corpus-based analysis
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In: Colloque interdisciplinaire « Vers une robotique du traduire ? ; https://hal.archives-ouvertes.fr/hal-03466630 ; Colloque interdisciplinaire « Vers une robotique du traduire ?, Sep 2021, Strasbourg, France ; https://robotrad2020.sciencesconf.org/program (2021)
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The Influence of Personas' Gender in Design ; CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter
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Quality and quantity : gender representation in teacher discourse and kindergarten math curriculum
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Gender and dictionary: russian perspective ; Género e dicionário: uma perspetiva russa
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Moving Beyond the Native-Speaker Bias in the Analysis of Variable Gender Marking ; Frontiers in Communication
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Slovene and Croatian word embeddings in terms of gender occupational analogies
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In: Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 9, Iss 1 (2021) (2021)
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WinoST: Evaluating Gender Bias in Speech Translation ...
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Abstract:
WinoST is a challenge set for evaluating gender bias in speech translation. WinoST is the speech version of WinoMT (Stanovsky et al., 2019) which is an MT challenge set and both follow an evaluation protocol to measure gender accuracy. WinoST consists of 3888 speech audios in English plus a text file with the the text of these audios. For further details, please refer to the publication entitled "Evaluating Gender Bias in Speech Translation" (Costa-jussà et al., 2020). Also cite this publication if using this corpus. ... : IMPORTANT: The corpus is distributed under the MIT License, but recordings can't be used for speech synthesis, text to speech, voice conversion, or other applications where the speaker's voice is imitated or reproduced. This work is supported in part by the Spanish Ministerio de Ciencia e Innovación through the postdoctoral senior grant Ramón y Cajal. ...
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Keyword:
challenge set; direct speech-to-text translation; gender bias; multilinguality
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URL: https://zenodo.org/record/4139079 https://dx.doi.org/10.5281/zenodo.4139079
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Data from: Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types ...
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"(Weitergeleitet von Journalistin)": The Gendered Presentation of Professions on Wikipedia
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In: Proceedings of the 9th ACM on Web Science Conference 2017 ; 83-92 ; ACM Web Science Conference (WebSci '17) ; 9 (2020)
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Gender Effects in Mobile Application Development. ; 2020 IEEE International Conference on Human-Machine Systems
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