WordPiece Tokenization is a tokenization technique that breaks words into smaller subword units, allowing language models to efficiently process rare words, compound words, and multilingual text.
Voice AI platforms use WordPiece Tokenization in speech transcription and language model pipelines to improve vocabulary coverage, reduce unknown words, and increase processing efficiency.