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, data types and language keywords. Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexical tokenization is usually based on a lexical grammar, whereas LLM tokenizers are usually probability-based. Second, LLM tokenizers perform a second step that converts the tokens into numerical values.
Leave You
- 2021-04-30T00:00:00.000000Z
Faces
- 2020-04-17T00:00:00.000000Z
Felina
- 2019-08-02T00:00:00.000000Z
Forgive Me
- 2016-04-01T00:00:00.000000Z
Nowhere Else
- 2015-03-13T00:00:00.000000Z
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