Showing 3 open source projects for "vector linux os"

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  • 1
    TXM

    TXM

    Unicode XML TEI text analysis platform

    TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP full text search engine (http://cwb.sourceforge.net) and a range of statistical functions (factorial analysis, classification, cooccurrency analysis, etc.) based on R packages (http://www.r-project.org). ...
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    Downloads: 12 This Week
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  • 2
    HermeneutiX

    HermeneutiX

    Your graphical tool for Syntactic/Semantic Structure Analysis of texts

    HermeneutiX is a tool for diagramming syntactic and semantic structures of complex (not necessarily foreign-language) texts (e.g. bible or other historical excerpts). HermeneutiX is now part of SciToS (the scientific tool set). Starting with version 2.0.0, HermeneutiX can be found on GitHub. Please check out the release summary: https://github.com/scientific-tool-set/scitos/releases For an introduction, check out this video: https://youtu.be/uQjewyG0Ad8 PS: To run a Java...
    Downloads: 1 This Week
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  • 3
    Unsupervised TXT classifier

    Unsupervised TXT classifier

    Classify any two TXT documents, no training required - JAVA

    This program is made to address two most common issues with the known classifying algorithms. First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer...
    Downloads: 0 This Week
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