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Related Questions
- What are the key challenges in resolving homograph ambiguity in low-resource languages or dialects?
- How do LLMs handle polysemy and homograph disambiguation in languages with limited training data?
- Can LLMs learn to resolve homograph ambiguity through self-supervised learning or active learning?
- What are the implications of LLMs' performance on homograph disambiguation for natural language processing in low-resource languages?
- How do LLMs compare to rule-based systems in resolving homograph ambiguity in low-resource languages or dialects?
- Can LLMs be fine-tuned for specific low-resource languages or dialects to improve homograph disambiguation performance?
- What are the potential applications of LLMs in resolving homograph ambiguity in low-resource languages or dialects, such as in machine translation or text summarization?
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