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Related Questions
- What are the implications of subword tokenization on model interpretability?
- How does subword tokenization affect the performance of out-of-vocabulary (OOV) words?
- Can you explain the potential impact of subword tokenization on model size and computational requirements?
- What are some strategies for mitigating the loss of contextual information due to subword tokenization?
- How does subword tokenization interact with other NLP techniques, such as named entity recognition?
- What are the potential effects of subword tokenization on the performance of models on tasks that require exact word matching?
- Can you discuss the trade-offs between subword tokenization and other word representation methods, such as character-level models?
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