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Related Questions
- How do language models handle homophones, and what techniques are used to improve the accuracy of word sense disambiguation?
- What role does context play in helping language models distinguish between similar-sounding words with different meanings?
- Can you explain the concept of semantic similarity and how it affects the accuracy of language models in understanding word meanings?
- How do language models learn to associate words with their correct meanings, especially when they have multiple possible interpretations?
- What are the challenges of developing language models that can accurately distinguish between homographs, homophones, and homonyms?
- How do language models use semantic fields, such as word embeddings and lexical semantics, to improve their understanding of word meanings?
- What are the implications of semantic accuracy on the performance of language models in tasks such as natural language processing, machine translation, and text summarization?
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