Wordpiece

Subword tokenization algorithm used in natural language processing (NLP) to break down words into smaller subword units. Originally developed by Google researchers, it helps handle out-of-vocabulary words and improves the efficiency of language models by building a vocabulary of subwords based on frequency. This algorithm is particularly beneficial for NLP models like BERT, enhancing their ability to understand and generate human language.