Showing 5 open source projects for "artificial intelligence script"

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  • 1

    Service Grid - Language Grid Base System

    SOA infrastracture initially developed by NICT Language Grid Project

    Service Grid is an infrastructure for accumulating and sharing Web services. Resources with complicated intellectual property issues are wrapped as Web services and shared on the Service Grid. If you release your software by using the software of this project, please include the following description in the documents or on the website. * This software uses the [SOFTWARE] by the Language Grid project (http://langrid.org/). [SOFTWARE] is one of: * Service Grid Server Software...
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  • 2

    AILOKS

    A polylingual dictionary/ontology system

    AILOKS is an acronym for Artificial Intelligence Linguistic Object Knowledge System. This dictionary is aimed to facilitate advanced NLP, translation engines and provide an effective dictionary interface to humans. This dictionary is Polylingual and should prove useful to language students, linguists and translators alike. It is part of a series of interrelated projects.
    Downloads: 0 This Week
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  • 3
    NOTE: I couldn't keep up this project to align with latest Unicode spec. Not sure I may be continuing. You can try Myanmar3 from Myanmar NLP or WinUniInnwa or https://sourceforge.net/projects/prahita/ or something better compliant font. ~Victor --- [This is UniBurma - UniMM project workshop area. This project currently have two productions, UniBurma and UniMM. For more descriptive info about this project, please visit http://unimm.org/. You can browse lastest source from SVN trunk.]
    Downloads: 0 This Week
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  • 4
    TaxonGrab is an NLP (Natural Language Processing) solution written in PHP, which leverages systematic nomenclature rules that are used for taxonomic nomenclature in scientific publications.
    Downloads: 0 This Week
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  • 5
    A set of classes for Natural Language Processing in PHP for: 1. Part of speech Tagging - Brill, n-gram, HMM 2. Princeton Wordnet querying and access 3. Document summarization 4. Document classification - EM, Bayes 5. Stemming - Porter, Lancaster
    Downloads: 0 This Week
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