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Related Questions
- What are the consequences of oversplitting or undersplitting tokens in data augmentation?
- How can tokenization affect the performance of downstream NLP models?
- What are some common tokenization errors that can lead to suboptimal results in data augmentation?
- How can tokenization impact the quality of training data in data augmentation?
- What are some best practices for tokenization in data augmentation to avoid suboptimal results?
- Can you provide examples of tokenization pitfalls in data augmentation and how to address them?
- How can tokenization affect the interpretability of results in data augmentation?
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