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Related Questions
- What are the key challenges in identifying homophones in language models and how can dataset size impact their resolution?
- How does the size of the training dataset affect a language model's ability to distinguish between words with similar pronunciations?
- Can you explain the relationship between the size of the training dataset and the accuracy of homophone detection in language models?
- In what ways does a larger training dataset improve the homophone resolution capabilities of a language model?
- What is the minimum dataset size required for a language model to achieve reliable homophone resolution?
- How does the size of the training dataset impact the language model's ability to generalize to out-of-domain homophone pairs?
- What are some techniques for augmenting a training dataset to improve homophone resolution in language models?
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