Showing 5 open source projects for "java ocr extraction text"

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  • 1
    TIES

    TIES

    A smart search engine for medical documents

    TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com *** NOTICE: this software and forum are no longer...
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  • 2

    Musaheb

    An Arabic collocation extraction tool

    “Musaheb”, an Arabic collocation extraction tool that has been designed and implemented to overcome the limitations of existing collocation extraction tools. “Musaheb” is able to extract n-gram collocations up to 5-gram, in addition to extracting the collocates of the nodes (the word-types we are looking for its collocates) within a window size of zero to 15 words. Moreover, it provides eight collocation statistics to calculate the strength of the collocation, and permits the input of...
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  • 3
    FALCON - Text Search Java Project

    FALCON - Text Search Java Project

    JSON based text search Java Project

    ----------------- - What is it? - ----------------- The "Falcon Search" is a JAVA API and tool to search inside the documents. It was originally started to search the content in pdf files under the project "HAWK Search". Searching with this tool is query-based not word-based as in most of the document search tools OR document readers. It also takes care of jumbling of words within query and spelling mistakes. Commonly used techniques in this project are Natural Language...
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  • 4

    TML - Text Mining Library for LSA & CMM

    TML is a Java Library for LSA and extracting Concept Maps from text

    TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml
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  • 5
    This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.
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