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Related Questions
- What are the primary difficulties in adapting pre-trained language models to languages with limited training data?
- How do linguistic differences between low-resource languages and high-resource languages impact model performance?
- What techniques can be employed to transfer knowledge from high-resource languages to low-resource languages in pre-trained language models?
- What is the role of domain adaptation in improving the performance of pre-trained language models in low-resource languages?
- How can oversampling or undersampling strategies be used to address data imbalance in low-resource languages?
- What are the challenges in training pre-trained language models on low-resource languages with out-of-vocabulary words and rare entities?
- How can multilingual pre-trained language models be fine-tuned for specific low-resource languages to achieve better performance?
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