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Related Questions
- How does masked language modeling affect the generalizability of a model to low-resource languages?
- Can next sentence prediction tasks improve a model's ability to handle out-of-vocabulary words in low-resource languages?
- What are the key differences in pre-training tasks that can be used for high-resource languages vs. low-resource languages?
- How does the choice of pre-training task influence the model's ability to learn linguistic features specific to low-resource languages?
- Can a model pre-trained on a next sentence prediction task for a high-resource language be fine-tuned for a low-resource language?
- What are the implications of using a masked language modeling task for a low-resource language with limited labeled data?
- How does the choice of pre-training task affect the model's ability to capture language-specific phenomena, such as morphology and syntax, in low-resource languages?
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