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This is a PLS analysis study (also classified as: Observational).

Exploring ethical considerations in machine translation

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The study identifies key determinants of machine translation bias and proposes solutions focused on cultural sensitivity.
Analysis of data from 5,000 participants highlights the importance of algorithms adapting to diverse cultural environments.
Using partial least squares (PLS) analysis, unique insights into ethical considerations and user experiences were gathered.
The findings may enable developers and policymakers to create more ethical and culturally aware machine translation systems.

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Observational analysis reveals factors of bias and cultural sensitivity in machine translation, suggesting strategies for improvement.

Yao et al. (2025) studied this question.

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