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Related Questions
- What are some techniques for augmenting the training data to include more out-of-vocabulary (OOV) words?
- How can we use back-translation to improve OOV word coverage in language models?
- What are the benefits and challenges of using paraphrasing to augment training data for OOV words?
- How can we leverage human evaluation to identify and address OOV words in language models?
- What are some strategies for using domain adaptation to improve OOV word coverage in specific domains?
- Can you explain the concept of 'word embeddings' and how they can help with OOV word recognition?
- How can we use transfer learning to adapt pre-trained language models to handle OOV words more effectively?
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