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Related Questions
- What are the limitations of human evaluation in detecting biases in machine translation tools?
- How can human reviewers ensure objectivity when evaluating machine translation outputs for biases?
- What are some common biases that human evaluators should look out for in machine translation tools?
- Can machine translation tools be designed to detect and correct biases in their own outputs?
- How can human evaluation and review be integrated with machine learning algorithms to improve the accuracy of machine translation?
- What role can human annotators play in providing high-quality training data for machine translation models to reduce biases?
- Are there any specific evaluation metrics that can be used to measure the effectiveness of human evaluation and review in detecting biases in machine translation tools?
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