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Related Questions
- What are some examples of homographs and homophones that LLMs encounter in natural language processing?
- How do LLMs incorporate contextual information to resolve the ambiguity between homographs, such as 'bank' (financial institution) and 'bank' (slope or incline)?
- Can you explain the role of word embeddings and semantic analysis in disambiguating homophones, like 'bare' (without clothing) and 'bear' (the animal)?
- How do LLMs use syntax and linguistic context to distinguish between homographs with different meanings, such as 'spring' (season) and 'spring' (coiled metal object)?
- What are some challenges LLMs face when dealing with homographs and homophones in non-standard language, dialects, or regional variations?
- Can you provide examples of how LLMs use contextual information, such as sentence-level and document-level context, to disambiguate homographs and homophones?
- How do LLMs handle idiomatic expressions and figurative language that rely on homographs and homophones, such as 'kick the bucket' or 'bend over backwards?
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