Tokenization is used in computer science, where it plays a large part in the process of lexical analysis. In the crypto world, tokenization’s modern roots trace back to blockchain technology and standards like Ethereum’s ERC-20 and ERC-721, which standardized interoperable tokens. Initially, ...
The Natural Language Toolkit (NLTK) is a uniform toolkit for building Python programs to work in the area of symbolic and statistical natural language processing (NLP) (e.g. tokenization, classification, tagging, stemming, parsing, and semantic reasoning). ...
Lexical Analysis aka Tokenization During this step, code that you wrote is going to be converted into a set of tokens describing the different parts of your code. This is fundamentally the same method that basic syntax highlighting is using. Tokens don't understand how things fit together and ...