Showing 10 open source projects for "lexical"

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  • 1
    Rust lexical

    Rust lexical

    Fast numeric to- and from-string conversion routines

    rust-lexical is a high-performance Rust library for numeric-to-string and string-to-numeric conversions. Designed for efficiency and flexibility, it operates in no_std environments, making it suitable for embedded systems and performance-critical applications. The library supports various numeric formats and provides customizable parsing and formatting options.​
    Downloads: 0 This Week
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  • 2

    soulng

    Lexer and parser generator tool for C++

    The SoulNG project contains two tools: a lexical analyzer generator slg and a parser generator spg. The generators and the produced lexical analyzers and parsers use four C++ libraries that are also included in the project. The slg tool takes a .lexer file that contains the description of a lexical analyzer as input and produces C++ source code for a lexical analyzer as output.
    Downloads: 0 This Week
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  • 3
    RE/flex lexical analyzer generator

    RE/flex lexical analyzer generator

    The regex-centric, fast lexical analyzer generator for C++

    A C++ high-performance regex library and Flex-compatible lexical analyzer generator with full Unicode support, new indentation anchors, lazy quantifiers, and many other modern features. Accepts Flex lexer specification syntax and is compatible with Bison/Yacc parsers. Generates reusable source code that is easy to understand. Supports fast scanning of UTF-8/16/32 files, strings, and streams.
    Downloads: 0 This Week
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  • 4

    ULS

    A lexical analyzer generator that makes the class source code.

    ULS is a class library for creating lexical analyzer from language specification file. It's provided as C/C++/C# and Java (class) libraries with a few of tools on Linux/Windows platform.
    Downloads: 0 This Week
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  • 5
    Tokenize.jl

    Tokenize.jl

    Tokenization for Julia source code

    Tokenize is a Julia package that serves a similar purpose and API as the tokenize module in Python but for Julia. This is to take a string or buffer containing Julia code, perform lexical analysis and return a stream of tokens.
    Downloads: 5 This Week
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  • 6
    Doctrine Lexer

    Doctrine Lexer

    Base library for a lexer that can be used in Recursive Descent Parsers

    ...This lexer is used in Doctrine Annotations and in Doctrine ORM (DQL). To write your own parser you just need to extend Doctrine\Common\Lexer\AbstractLexer and implement three abstract methods. These methods define the lexical catchable and non-catchable patterns and a method for returning the type of a token and filtering the value if necessary. The Lexer is responsible for giving you an API to walk across a string one character at a time and analyze the type of each character, value and position of each token in the string. The low level API of the lexer is pretty simple. ...
    Downloads: 0 This Week
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  • 7
    JFlex

    JFlex

    The fast scanner generator for Java™ with full Unicode support

    JFlex is a lexical analyzer generator for Java, designed to create fast and efficient scanners. It takes regular expression specifications and produces Java code for tokenizing input text. ​
    Downloads: 2 This Week
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  • 8

    Win flex-bison

    Win flex-bison is a port Flex & Bison tools to the Windows platform

    Win flex-bison is a windows port the Flex (the fast lexical analyser) and Bison (GNU parser generator). win_flex based on Flex version 2.6.3 source code and win_bison based on Bison version 2.7 and they depend on system libraries only. Git repository: https://github.com/lexxmark/winflexbison UPDATE1: Bison version 3.x.x available in Files section in win_flex_bison3-latest.zip package.
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    Downloads: 4,374 This Week
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  • 9

    JSentiWordNet

    A wrapper for the famous SentiWordNet, a resource for opinion mining

    This project aims to provide a wrapper around the SentiWrodnet, a lexical resource for opinion mining. As defined by the authors : SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity. You can find additional information about the creation of SentiWordnet here : http://nmis.isti.cnr.it/sebastiani/Publications/LREC06.pdf sentiWordnet (avilable here : https://drive.google.com/open?
    Downloads: 0 This Week
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  • 10
    Simple header-only library written in C++, for lexical analysis of files in PDF format
    Downloads: 0 This Week
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