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 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.
Faces
- 2020-04-17T00:00:00.000000Z
Nowhere Else
- 2015-03-13T00:00:00.000000Z
Blue Oceans
- 2024-07-26T00:00:00.000000Z
Closemouthed
- 2024-05-24T00:00:00.000000Z
Hush
- 2024-04-19T00:00:00.000000Z
Don't Run
- 2024-03-08T00:00:00.000000Z
Amei
- 2023-11-09T00:00:00.000000Z
The Unknown
- 2023-10-06T00:00:00.000000Z
Cala
- 2023-08-18T00:00:00.000000Z
Dawn Beyond
- 2023-07-14T00:00:00.000000Z
Far Away
- 2023-06-02T00:00:00.000000Z
Milkshake
- 2023-05-05T00:00:00.000000Z
This World
- 2022-10-06T00:00:00.000000Z
Pillow Talk
- 2022-09-22T00:00:00.000000Z
Paradise
- 2022-09-08T00:00:00.000000Z
Bom
- 2022-07-05T00:00:00.000000Z
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