WordPiece

WordPiece is a subword tokenization algorithm used in natural language processing (NLP) to handle out-of-vocabulary words and improve the efficiency of language models. It breaks down words into smaller, more manageable pieces or subwords, which allows models to better understand and generate text. This technique is particularly useful for languages with rich morphology or when dealing with rare words. WordPiece is commonly used in models like BERT and is essential for training on large corpora where vocabulary size can be a limiting factor.