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Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation ...
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Gender Bias in Machine Translation ...
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Abstract:
Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, elaborating and communicating information. However, it can suffer from biases that harm users and society at large. As a relatively new field of inquiry, gender bias in MT still lacks internal cohesion, which advocates for a unified framework to ease future research. To this end, we: i) critically review current conceptualizations of bias in light of theoretical insights from related disciplines, ii) summarize previous analyses aimed at assessing gender bias in MT, iii) discuss the mitigating strategies proposed so far, and iv) point toward potential directions for future work. ... : Accepted for publication in Transaction of the Association for Computational Linguistics (TACL), 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2104.06001 https://arxiv.org/abs/2104.06001
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How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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The Multilingual TEDx Corpus for Speech Recognition and Translation ...
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Simultaneous Speech Translation for Live Subtitling: from Delay to Display ...
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How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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Speechformer: Reducing Information Loss in Direct Speech Translation ...
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Is “moby dick” a Whale or a Bird? Named Entities and Terminology in Speech Translation ...
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Speechformer: Reducing Information Loss in Direct Speech Translation ...
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Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference? ...
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Between Flexibility and Consistency: Joint Generation of Captions and Subtitles ...
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Low Resource Neural Machine Translation: A Benchmark for Five African Languages ...
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