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Related Questions
- What are the common methods to handle out-of-vocabulary words in NLP models?
- How do subwording techniques address the issue of out-of-vocabulary words?
- Can you explain the concept of unknown word embeddings and how they are used to handle OOV words?
- What is the role of wordpiece tokenization in addressing out-of-vocabulary words?
- How do hybrid approaches that combine subwording and wordpiece tokenization handle OOV words?
- Can you discuss the trade-offs between using a large vocabulary size and the computational resources required?
- How do OOV handling methods impact the performance of downstream NLP tasks, such as sentiment analysis and language translation?
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