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Related Questions
- How do Arabic idioms with multiple layers of meaning and homophones pose challenges to non-contextual language models?
- What are some common Arabic idioms that are difficult for non-contextual language models to understand due to their complex syntax and morphology?
- In what ways do Arabic idioms that rely on cultural references and nuances of the language create challenges for non-contextual models?
- How do non-contextual models struggle to comprehend Arabic idioms that have multiple possible interpretations and require a deep understanding of the cultural context?
- Can you provide examples of Arabic idioms that are particularly challenging for non-contextual models to translate accurately?
- What are some strategies for improving the performance of non-contextual models on Arabic idioms, such as using contextual embeddings or pre-training on large datasets?
- How do the challenges of understanding Arabic idioms with non-contextual models impact the performance of downstream NLP tasks, such as machine translation and text classification?
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