challenge_5810_1780636951402

Tokenization in Natural Language Processing (NLP) is the process of breaking down a sequence of text into smaller units called tokens. These tokens can be words, subwords, or characters, depending on the specific tokenization strategy used. This step is fundamental because most NLP models require numerical input to process text, and tokenization provides that necessary conversion.