Showing 5 open source projects for "note\"

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  • 1
    NOTE: For latest version, please visit https://github.com/ispasic/FlexiTerm. FlexiTerm is an open-source software tool for automatic term recognition. FlexiTerm uses a range of methods to neutralise the main sources of term variation. FlexiTerm is robust enough for less formally structured texts, such as those found in patient blogs or medical notes.
    Downloads: 0 This Week
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  • 2
    RoWordNetLib

    RoWordNetLib

    Java API for the Romanian WordNet

    Java API for the Romanian WordNet. Please note that the actual WordNet for Romanian (the XML file containing the network) is not included, it can be obtained (due to its license restrictions) from: http://ws.racai.ro:9191/repository/browse/romanian-wordnet-30/4611a43efb6811e2a8ad00237df3e3580b6b50d1111c4a6292694bded91d5c14/ **** If you would like a direct download of the API containing the RoWordNet xml file, please download them both from : http://www.racai.ro/tools/text/rowordnet/ **** Please cite: Dumitrescu, Ștefan Daniel. ...
    Downloads: 0 This Week
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  • 3
    Le projet Gramlab vise à mettre à disposition des entreprises des outils logiciels OpenSource et gratuits, qui peuvent être mis en oeuvre par des développeurs qui ne sont pas spécialistes du traitement des langues. Note : L'outil GLabCorpus Manager nécessite l'installation d'un serveur SolR. Pour le télécharger et plus d'information, veuillez vous rendre dans la section Files.
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  • 4
    Java program to create a (potentially multilingual) glossary of the unique words in any given Lojban text. Note that the Sourceforge page for this was superceded by the Bitbucket repository: https://bitbucket.org/pretoriusjf/vlastezba/overview Any further updates will be made there.
    Downloads: 2 This Week
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  • 5
    This project is contains implementations of algorithms to integrate the output of different NLP tools (part of speech taggers, morphologies, parsers, etc.) in order to obtain more accurate, more robust and more fine-grained linguistic analyses. Note that the code is outdated, but left here for documentation purposes. Its functionality may be reimplemented within the NLP2RDF project (http://code.google.com/p/nlp2rdf).
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