What are some alternatives to traditional tokenization methods?

What are some alternatives to traditional tokenization methods?

There are several alternatives to traditional tokenization, such as subword tokenization, byte pair encoding (BPE), and character-level tokenization. Each has its own advantages depending on the application.

Can you explain subword tokenization in more detail?

Sure! Subword tokenization breaks down words into smaller units, allowing the model to handle rare words better and reduce the vocabulary size.

What are the benefits of using byte pair encoding?

Byte pair encoding (BPE) helps in compressing the vocabulary by merging the most frequent pairs of bytes or characters, which can improve efficiency in language models.

Are there any drawbacks to character-level tokenization?

Yes, character-level tokenization can lead to longer sequences, which may increase computational costs and make it harder for models to learn long-range dependencies.