challenge_6930_1780657861589

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 process is a crucial first step before most other NLP tasks, as it allows computers to process text in a structured, manageable way for tasks like machine translation, text generation, sentiment analysis, and language modeling.