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Related Questions
- How does BERT's subword tokenization affect its performance in low-resource languages?
- What are the limitations of BERT's out-of-vocabulary word handling in languages with limited training data?
- Can BERT's performance be improved for low-resource languages by incorporating additional training data or techniques?
- How does the quality of wordpiece tokenization impact BERT's performance in low-resource languages?
- Are there any alternative methods for handling out-of-vocabulary words in BERT that could improve its performance in low-resource languages?
- What are the implications of BERT's out-of-vocabulary word handling on its performance in languages with high levels of dialectical variation?
- Can BERT's performance be fine-tuned for specific low-resource languages using transfer learning and adaptation techniques?
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