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Related Questions
- How do word embeddings like Word2Vec and GloVe help to capture the nuances of word meanings?
- Can you explain the concept of semantic analysis and how it's used in natural language processing?
- How do word embeddings handle homophones in languages where pronunciation and spelling are distinct from English?
- What are some challenges in using word embeddings for disambiguating homophones, and how are they addressed?
- Can you provide examples of other types of homophones that word embeddings can help disambiguate?
- How do word embeddings and semantic analysis contribute to improving the accuracy of machine translation models?
- Are there any limitations to the use of word embeddings for disambiguating homophones in certain languages or contexts?
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