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Related Questions
- What are the key differences between multi-task learning and domain adaptation in machine translation?
- How does domain adaptation address the issue of limited training data in low-resource languages?
- What are some common techniques used for domain adaptation in machine translation, such as transfer learning and fine-tuning?
- Can you explain the concept of 'domain discrepancy' and its impact on machine translation performance?
- How does domain adaptation affect the representation of language and context in machine translation models?
- What is the role of domain adaptation in reducing the performance gap between high-resource and low-resource languages in machine translation?
- What are some challenges and limitations of domain adaptation in machine translation, and how can they be addressed?
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