Tokenization in the Theory of Knowledge

Tokenization is a procedure for recovering the elements of interest in sequence data. This term commonly used to describe an initial step processing programming languages, and also preparation input data case artificial neural networks; however, it generalizable concept that applies reducing complex form its basic elements, whether context computer science or natural processes. In this entry, general token attributes are defined, along with role different contexts, such as deep learning methods. Included here suggestions further theoretical empirical analysis tokenization, particularly regarding use learning, rate-limiting possible bottleneck when results do not meet expectations.