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Related Questions
- How do polysemous words affect the accuracy of machine translation models?
- What are some common examples of polysemy in machine translation, and how can they be addressed?
- Can you explain the difference between polysemy and homophony in the context of machine translation?
- How do contextual word embeddings, such as Word2Vec and GloVe, help to disambiguate polysemous words in machine translation?
- What are some techniques used to mitigate the effects of homophones in machine translation, and how effective are they?
- How do machine translation models handle words with multiple meanings, and what are the implications for translation quality?
- Can you discuss the relationship between polysemy, homophony, and word sense induction in machine translation?
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