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Related Questions
- What are the common techniques used to handle out-of-vocabulary (OOV) words in language models?
- How do language model developers address the issue of OOV words in real-world applications?
- What are some strategies to mitigate the impact of OOV words on language model performance?
- Can you explain the concept of subword modeling and its role in handling OOV words?
- How do language models handle OOV words when encountering rare or novel words in text data?
- What are the trade-offs between using subword models, word embeddings, and other techniques to handle OOV words?
- Can you discuss the role of pre-training and fine-tuning in addressing OOV words in language models?
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