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Related Questions
- What are some strategies for handling out-of-vocabulary words in language models with limited training data?
- How can a language model be fine-tuned to handle words it has not seen before?
- What are the consequences of encountering out-of-vocabulary words in a language model with limited training data?
- Can you explain the concept of subword modeling and how it relates to out-of-vocabulary words?
- How does the quality of the training data affect a language model's ability to handle out-of-vocabulary words?
- What are some techniques for augmenting the training data to improve a language model's vocabulary?
- Can you discuss the trade-offs between using a large pre-trained model and fine-tuning it for out-of-vocabulary words versus training a smaller model from scratch?
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