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Related Questions
- How does subword regularization improve the performance of a language model on a large vocabulary dataset?
- Can you explain the concept of subword regularization and its application in NLP tasks?
- How does subword regularization address the issue of out-of-vocabulary (OOV) words in a language model?
- What are some common techniques used for subword regularization in NLP, and how do they work?
- Can you provide an example of a real-world NLP task where subword regularization is used to handle OOV words?
- How does subword regularization compare to other techniques for handling OOV words, such as wordpiece tokenization?
- What are some challenges associated with implementing subword regularization in a large-scale NLP system?
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