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Related Questions
- What is tokenization and how does it contribute to data augmentation for low-resource languages?
- How does tokenization help improve the quality and quantity of training data for low-resource languages?
- Can you explain the different types of tokenization techniques used in data augmentation for low-resource languages?
- What are some common challenges associated with tokenization for low-resource languages, and how can they be addressed?
- How does tokenization impact the performance of machine learning models on low-resource languages?
- What are some strategies for using tokenization to augment data for low-resource languages, such as wordpiece tokenization or subword tokenization?
- Can you discuss the trade-offs between different tokenization techniques and their impact on model performance for low-resource languages?
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