Showing 4 open source projects for "tiny-core-plus"

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    Phrasal

    Phrasal

    Statistical phrase-based machine translation system

    Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group at Stanford University, a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. ...
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  • 2
    Stemmer Gujarati

    Stemmer Gujarati

    Offline stemmer for Gujarati , which is one of 22 Indian languages.

    ...It takes input file of type .txt containing Gujarati text encoded as UTF-8 and then removes stop words which are unessential. After processing rest of the words, it outputs corresponding file containing all stem words plus other details.
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  • 3
    JPPL is an experimental, exploratory project aiming at the target of geting better (written) language analyzing software.
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  • 4

    PRDL Tools

    Privacy Rule Definition Language to write Enterprise Privacy Policies

    PRDL is one of the core components within the ENDORSE project. The scope of the language is to encompass clauses from data protection legislation and enterprise privacy policies in order to e.g. derive data access decisions automatically based on the enterprise privacy policies (EPPs). There have been many initiatives for expressing privacy rules and legal restrictions into a computable way.
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