Lexer
Lexical tokenization is conversion of a text into (semantically or syntactically) meaningful lexical tokens belonging to categories defined by a "lexer" program. In case of a natural language, those categories include nouns, verbs, adjectives, punctuations etc. In case of a programming language, the categories include identifiers, operators, grouping symbols and data types. Lexical tokenization is not the same process as the probabilistic tokenization, used for a large language model's data preprocessing, that encodes text into numerical tokens, using byte pair encoding.
Faces
- 2020-04-17T00:00:00.000000Z
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