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Related Questions
- What are some common techniques used to handle out-of-vocabulary (OOV) words in neural machine translation models?
- How do neural machine translation models handle unknown words or tokens that are not seen during training?
- What strategies can be employed to improve the handling of OOV words in neural machine translation models?
- Can you explain the concept of subword modeling and its application in handling OOV words in neural machine translation?
- How does the use of character-level embeddings affect the handling of OOV words in neural machine translation models?
- What is the impact of using a large vocabulary size on the handling of OOV words in neural machine translation models?
- Can you discuss the trade-offs between using a large vocabulary size and the computational resources required for training neural machine translation models?
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