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Related Questions
- What is tokenization and how does it affect the performance of NLP models?
- Can you explain the different types of tokenization techniques used in NLP, such as word-level, subword-level, and character-level?
- How does tokenization impact the accuracy of sentiment analysis and text classification tasks?
- What are the challenges of tokenization in NLP, particularly when dealing with out-of-vocabulary words or special characters?
- How can tokenization be optimized for specific languages or languages with complex writing systems?
- What are the trade-offs between different tokenization approaches, such as word-piece vs. word-level tokenization?
- Can you discuss the role of tokenization in NLP tasks such as named entity recognition and part-of-speech tagging?
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