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1.
Advanced features of Digital library of University of Maribor
Janez Brezovnik, Milan Ojsteršek, 2011, original scientific article

Abstract: Advanced features of digital library of University of Maribor are described inthis paper. A short introduction describes some basic facts about the digital library and mentions its main purpose, but the main part of this paperis about features, that are mostly not found in other digital libraries. These features include integration with other information systems, plagiarism detection, informative and useful statistics about mentors and specific content extraction from documents, served by the digital library. We present existing functionality and describe some ideas for future development. A natural language processing framework, called TextProc, is also briefly mentioned, since it is used to perform plagiarism detection.
Keywords: digital library, natural language, plagiarism detection, Slovenian language, text processing
Published: 01.06.2012; Views: 1639; Downloads: 35
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2.
TextProc - a natural language processing framework and its use as plagiarism detection system
Janez Brezovnik, Milan Ojsteršek, 2011, original scientific article

Abstract: A natural language processing framework called TextProc is described in this paper. First the frameworks software architecture is described. The architecture is made of several parts and all of them are described in detail. Natural language processing capabilities are implemented as software plug-ins. Plug-ins can be put together into processes that perform a practical natural processing function. Several practical TextProc processes are briefly described, like part-of-speech tagging, named entity tagging and others. One of those is capable to perform plagiarism detection on texts in Slovenian language, which is explained in detail. This process is actually used in digital library of University of Maribor. The integration of digital library with TextProc is also briefly described. At the end of this paper some ideas for future development are given.
Keywords: natural language processing, text processing, text mining, Slovenian language, plagiarism detection
Published: 01.06.2012; Views: 1480; Downloads: 52
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