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Related Questions
- What strategies do language models use to handle out-of-vocabulary (OOV) words in natural language processing?
- How do language models cope with the lack of context when encountering OOV words, and what are the implications for contextual understanding?
- Can you explain the concept of subword modeling and its role in handling OOV words in language models?
- What is the impact of OOV words on the performance of language models, and how can it be mitigated?
- How do language models handle polysemy and homophony when encountering OOV words, and what are the challenges associated with it?
- What techniques are used to improve the contextual understanding of language models when encountering OOV words?
- Can you discuss the trade-off between out-of-vocabulary word handling and model complexity in language models?
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