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Related Questions
- How does a fixed-size contextualization window impact the model's understanding of nuanced regional dialects?
- Can a larger contextualization window improve the model's ability to recognize colloquialisms and regional expressions?
- What are the potential limitations of using a fixed-size contextualization window in multilingual or multicultural settings?
- How can the model's contextualization window be optimized to better handle regional dialects and colloquialisms?
- What are some alternative approaches to contextualization that could help the model adapt to regional dialects?
- Can the model's performance on regional dialects be improved by incorporating additional training data or fine-tuning?
- What are the trade-offs between increasing the contextualization window size and the model's computational efficiency?
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