Tokenization is the crucial process of breaking down text or data into smaller, meaningful units called tokens. These tokens can be individual words, subwords, characters, or even entire sentences, depending on the context and the specific NLP task. As a foundational preprocessing step in natural language processing (NLP), tokenization transforms unstructured, often complex text into … Continue reading “Corpus Tokenization”

