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Related Questions
- What are some common techniques used to handle out-of-vocabulary words in tokenization?
- How do you handle words that are not in the training dataset in NLP tasks?
- What strategies can be employed to handle unknown words during the tokenization process?
- Can you explain the concept of subword tokenization and how it helps with out-of-vocabulary words?
- What is the difference between out-of-vocabulary words and out-of-domain words in the context of tokenization?
- How do techniques like wordpiece tokenization and subword tokenization address the issue of out-of-vocabulary words?
- What are the benefits of using techniques like character-level tokenization to handle out-of-vocabulary words?
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