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Related Questions
- How can you design a system to collect and incorporate real-time feedback from human annotators on regional dialect adaptation?
- What are some strategies for actively soliciting and incorporating feedback from end-users in the dialect adaptation process?
- Can you explain how to use active learning to iteratively refine a dialect adaptation model based on human feedback?
- How can you balance the need for human feedback with the potential for bias or variability in annotator judgments?
- What are some techniques for visualizing and analyzing human feedback to identify patterns and areas for improvement in dialect adaptation?
- Can you discuss the role of active learning in dialect adaptation for low-resource languages or regions with limited human feedback?
- How can you incorporate feedback from multiple annotators or end-users with different backgrounds and expertise in the dialect adaptation process?
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