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Related Questions
- What are the key benefits of using subword models for out-of-vocabulary (OOV) word handling in language models?
- How do subword models compare to other OOV word handling techniques in terms of accuracy and efficiency?
- Can you explain the trade-off between the number of subword units and the model's ability to handle OOV words?
- What are the potential drawbacks of using subword models for OOV word handling, such as increased complexity or computational requirements?
- How do subword models impact the interpretability of language models, and are there any strategies to mitigate this issue?
- Can you discuss the role of subword models in handling OOV words in low-resource languages or languages with limited training data?
- What are the implications of using subword models for OOV word handling on the overall performance of a language model, including its ability to generalize and adapt to new tasks?
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