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Related Questions
- What are the key considerations when deciding on the vocabulary size for a language model?
- How do language models handle out-of-vocabulary (OOV) words, and what are the trade-offs involved?
- What are some common techniques used to handle OOV words in language models, and what are their limitations?
- How does the choice of vocabulary size impact the performance of a language model on tasks such as language translation and text classification?
- Can you explain the concept of subword modeling and how it relates to OOV word handling in language models?
- What are some potential drawbacks of using a large vocabulary size in a language model, and how can they be mitigated?
- How do language models with smaller vocabulary sizes compare to those with larger vocabulary sizes in terms of computational efficiency and memory usage?
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