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Related Questions
- Can you explain how to use subwording or wordpiece tokenization to handle out-of-vocabulary words?
- How can you use word embeddings like Word2Vec or GloVe to improve out-of-vocabulary word handling?
- What are some common techniques for handling out-of-vocabulary words in NLP pipelines?
- Can you discuss the trade-offs between using a large vocabulary size versus a smaller one with subwording?
- How can you use machine learning models to predict the likelihood of a word being out-of-vocabulary?
- What are some strategies for incorporating rare or out-of-vocabulary words into a language model's vocabulary?
- Can you explain how to use a dictionary or lexicon to improve out-of-vocabulary word handling?
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