Showing 4 open source projects for "javascript search engine"

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  • 1
    TXM

    TXM

    Unicode XML TEI text analysis platform

    ...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). Read the scientific background at the Textométrie project web site http://textometrie.ens-lyon.fr/?...
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    Downloads: 16 This Week
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  • 2
    This project will be a project that will be used by Speleologist (cavers) to help aid in the mapping of the underground world. It will be simple at first.. only allowing the entry of survey (dist/azmith/V-angle) and give back a line plot..
    Downloads: 0 This Week
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  • 3

    knowceans

    Utility classes from maps to search engine to random samplers

    .... --- Highlights: --- org.knowceans.util: IndexQuickSort, TableList: apply order of one array/list to others +++ Vectors, ArrayUtils: array convenience +++ RandomSamplers, CokusRandom, ArmSampler, Densities: random sampling and distributions +++ Arguments: command line parser +++ StopWatch, Which, ExternalProcess: runtime stuff +++ ParallelFor: OpenMP workalike +++ PatternString, NamedGroupRegex: regex convenience --- org.knowceans.corpus: CorpusSearcher: full-text search engine +++ LabelNumCorpus: svmlight corpus storage and filtering +++ NIPS corpus with text, authors, labels and citations --- org.knowceans.map: InvertibleHashMultiMap, BijectiveHashMap: implement n:m and 1:1 relations. --- Other libs: knowceans-arms = port of the Adaptive Rejection Metropolis Sampler (ARMS) for arbitrary distributions +++ lda-j = port of lda-c, implementing Latent Dirichlet Allocation (LDA)
    Downloads: 0 This Week
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  • 4
    A web-based, automated search engine that responds to user feedback through the use of artificial intelligence.
    Downloads: 0 This Week
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