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Related Questions
- What is the main difference between rule-based and learned tokenization approaches in natural language processing?
- How do rule-based tokenization approaches work, and what are their limitations?
- In what scenarios is learned tokenization more effective than rule-based tokenization?
- What are the benefits of using learned tokenization for alleviating the effects of suboptimal tokenization?
- Can you provide examples of rule-based tokenization and learned tokenization in real-world applications?
- How do learned tokenization approaches handle out-of-vocabulary words and rare tokens?
- What is the role of pre-training in learned tokenization approaches, and how does it impact performance?
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