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Related Questions
- What is the effect of OOV words on the accuracy of language models in handling unseen data?
- How do language models handle unknown words and what are the consequences of incorrect handling?
- Can you explain the impact of OOV words on the perplexity of language models in a given dataset?
- How do different techniques for handling OOV words, such as subword modeling or wordpiece tokenization, affect model performance?
- What are the trade-offs between handling OOV words using a fixed vocabulary or learning a dynamic vocabulary?
- How do OOV words impact the interpretability of language model outputs, and what are the implications for downstream applications?
- Can you discuss the impact of OOV words on the training process of language models, including the need for additional data or specialized training techniques?
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