What are advanced tokenization techniques in NLP?

What are advanced tokenization techniques in NLP?

Advanced tokenization techniques in NLP include subword tokenization, byte pair encoding, and wordpiece tokenization. These methods help in handling out-of-vocabulary words and improving model performance.

Can you explain subword tokenization in more detail?

Sure! Subword tokenization breaks down words into smaller units, allowing models to understand and generate rare or unseen words by combining these units.

How does byte pair encoding work?

Byte pair encoding starts with a list of characters and iteratively replaces the most frequent pair of characters with a new single character until a desired vocabulary size is reached.

What are the advantages of using these techniques?

The advantages include better handling of rare words, reduced vocabulary size, and improved generalization in language models.