Text Separator

Tokenization is the process of dividing text into individual units called tokens. Tokens can be words, phrases, or other meaningful elements in a sentence. This process is used in natural language processing (NLP) fields, such as machine translation, speech recognition, and text classification. During tokenization, the text is split using various punctuation marks, such as spaces, commas, and periods, to create individual tokens. This is an essential step that helps NLP models understand and process textual information more effectively.