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Related Questions
- What are the key differences in pre-training a language model for low-resource languages compared to high-resource languages?
- How does the quality of pre-training data impact the model's performance on low-resource languages?
- Can you explain the concept of 'transfer learning' in the context of pre-training language models for low-resource languages?
- What are some strategies for adapting pre-trained language models to low-resource languages?
- How does the choice of pre-training task (e.g. masked language modeling, next sentence prediction) impact the model's ability to handle low-resource languages?
- Can you discuss the role of multilingual pre-training in improving a language model's performance on low-resource languages?
- What are some potential challenges and limitations of pre-training language models for low-resource languages, and how can they be addressed?
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