Showing 4 open source projects for "java swt"

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    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...
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    Downloads: 9 This Week
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  • 2
    XML-Print

    XML-Print

    XML-Print: typesetting arbitrary XML documents in high quality

    "XML-Print" is a joint project of the FH Worms (Prof. Marc W. Küster) and the University of Trier (Prof. Claudine Moulin) with support from TU Darmstadt (Prof. Andrea Rapp). Its goal is the creation of a XML formatter designated especially for the needs of the “Digital Humanties”. The project is funded by the DFG. Please visit https://sites.google.com/a/budabe.eu/xmlprint_de/kontakt and let us know, what you think about XML-Print – Does it meet your expectations? – What is missing? –...
    Downloads: 2 This Week
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  • 3
    Text Expander, Inverse summarizer

    Text Expander, Inverse summarizer

    Expand text, inverse summarizer

    IT WILL WORK WITH A JAVA DEVELOPMENT KIT 1.7 ONLY !!! This program is a data-miner and a knowledge-miner. It does exactly the opposite of what the text summarizers do. A text summarizer produces a shortened text given some text as an input. An inverse summarizer takes the shortened input, a similar or a same text and does the process in reverse. This results in an expanded text. It can be used with any text or notes that have the knowledge gaps. It is a great aid to any creative...
    Downloads: 0 This Week
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  • 4
    A system to perform analysis of large documents for the purpose of cataloging similar documents. Similarity is based upon contextual analysis of these documents done by identifying common words and proper nouns.
    Downloads: 0 This Week
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