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Related Questions
- How do out-of-vocabulary (OOV) words affect the performance of language translation models?
- Can you explain the challenges that OOV words pose in text summarization tasks and how to mitigate them?
- What are some strategies for handling unknown words in neural machine translation and how do they impact model accuracy?
- In what ways do OOV words impact the interpretability of language models in translation and summarization tasks?
- How do different OOV handling techniques, such as subwording and character-level modeling, affect the performance of language translation models?
- What are some real-world scenarios where OOV words have a significant impact on the performance of language translation and summarization models?
- Can you compare the performance of language translation and summarization models with and without OOV handling techniques?
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