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Related Questions
- What are some common techniques used for domain adaptation in NLP to improve out-of-vocabulary word handling?
- How do you implement knowledge distillation to transfer knowledge from a large pre-trained model to a smaller, task-specific model?
- What is the difference between cross-lingual and multi-lingual machine translation, and how do they relate to out-of-vocabulary word handling?
- Can you explain the concept of few-shot learning and its applications in transfer learning for contextual prompts?
- How do you use meta-learning to adapt a model to a new task or domain without extensive retraining?
- What are some strategies for handling unknown or out-of-vocabulary words in neural machine translation systems?
- Can you discuss the role of pre-training and fine-tuning in transfer learning for NLP tasks, and how it relates to out-of-vocabulary word handling?
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