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.
Faces
- 2020-04-17T00:00:00.000000Z
Nowhere Else
- 2015-03-13T00:00:00.000000Z
Data Romance
- 2026-02-20T00:00:00.000000Z
In My Arms
- 2026-01-16T00:00:00.000000Z
Golden Dust
- 2025-12-05T00:00:00.000000Z
Peace.wav
- 2025-08-01T00:00:00.000000Z
Baku
- 2025-05-23T00:00:00.000000Z
Crush
- 2025-03-28T00:00:00.000000Z
We Have Us
- 2025-02-28T00:00:00.000000Z
Breathe Deep
- 2025-01-24T00:00:00.000000Z
Sweet Escape
- 2024-11-15T00:00:00.000000Z
Duty
- 2024-09-27T00:00:00.000000Z
Red
- 2024-09-06T00:00:00.000000Z
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
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