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Related Questions
- What is the purpose of subwording in WordPiece tokenization?
- How does WordPiece tokenization handle words that are not in the training dataset?
- What are the benefits of using subword representations over word-level representations?
- Can you explain the concept of subword embeddings in WordPiece tokenization?
- How does WordPiece tokenization improve the performance of language models on out-of-vocabulary words?
- What is the trade-off between vocabulary size and out-of-vocabulary word handling in WordPiece tokenization?
- Can you provide an example of how WordPiece tokenization handles an out-of-vocabulary word?
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