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  2. Flex (lexical analyser generator) - Wikipedia

    en.wikipedia.org/wiki/Flex_(lexical_analyser...

    It is a computer program that generates lexical analyzers (also known as "scanners" or "lexers"). [ 3 ] [ 4 ] It is frequently used as the lex implementation together with Berkeley Yacc parser generator on BSD -derived operating systems (as both lex and yacc are part of POSIX ), [ 5 ] [ 6 ] [ 7 ] or together with GNU bison (a version of yacc ...

  3. Lexical analysis - Wikipedia

    en.wikipedia.org/wiki/Lexical_analysis

    Lexical tokenization is the conversion of a raw text into (semantically or syntactically) meaningful lexical tokens, belonging to categories defined by a "lexer" program, such as identifiers, operators, grouping symbols, and data types. The resulting tokens are then passed on to some other form of processing.

  4. Lex (software) - Wikipedia

    en.wikipedia.org/wiki/Lex_(software)

    Lex is a computer program that generates lexical analyzers ("scanners" or "lexers"). [1] [2] It is commonly used with the yacc parser generator and is the standard lexical analyzer generator on many Unix and Unix-like systems. An equivalent tool is specified as part of the POSIX standard. [3]

  5. Lexer hack - Wikipedia

    en.wikipedia.org/wiki/Lexer_hack

    In more detail, in a compiler, the lexer performs one of the earliest stages of converting the source code to a program. It scans the text to extract meaningful tokens, such as words, numbers, and strings. The parser analyzes sequences of tokens attempting to match them to syntax rules representing language structures, such as loops and ...

  6. RE/flex - Wikipedia

    en.wikipedia.org/wiki/Re/flex

    The RE/flex lexical analyzer generator accepts an extended syntax of Flex lexer specifications as input. The RE/flex specification syntax is more expressive than the traditional Flex lexer specification syntax and may include indentation anchors, word boundaries, lazy quantifiers (non-greedy, lazy repeats), and new actions such as wstr() to ...

  7. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    363 billion token dataset based on Bloomberg's data sources, plus 345 billion tokens from general purpose datasets [66] Proprietary Trained on financial data from proprietary sources, for financial tasks. PanGu-Σ: March 2023: Huawei: 1085: 329 billion tokens [67] Proprietary OpenAssistant [68] March 2023: LAION: 17: 1.5 trillion tokens Apache 2.0

  8. Parsing - Wikipedia

    en.wikipedia.org/wiki/Parsing

    The first stage is the token generation, or lexical analysis, by which the input character stream is split into meaningful symbols defined by a grammar of regular expressions. For example, a calculator program would look at an input such as " 12 * (3 + 4)^2 " and split it into the tokens 12 , * , ( , 3 , + , 4 , ) , ^ , 2 , each of which is a ...

  9. Scannerless parsing - Wikipedia

    en.wikipedia.org/wiki/Scannerless_parsing

    Laja is a two-phase scannerless parser generator with support for mapping the grammar rules into objects, written in Java. The Raku grammars feature of the general purpose programming language Raku. PyParsing is a scannerless parser written in pure Python. META II Has built in token parsers functions.