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Related Questions
- How do n-gram language models handle out-of-vocabulary (OOV) words?
- What are the techniques used to estimate the probability of OOV words in neural language models?
- How does subword modeling help in handling OOV words in language models?
- What is the difference between direct and indirect OOV word estimation methods?
- How can language models learn to generate word embeddings for OOV words?
- What are some challenges in estimating the probability of OOV words in low-resource languages?
- Can you explain the concept of rare word handling in language models and its implications for OOV words?
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