A unified plagiarism detection framework
With the rapid growth of information technology, Internet and digital libraries have been developing so fast that illegal copying of documents is becoming easier and more popular. A challenging question is how to identify documents with similar content which are candidate of plagiarism. There are se...
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oai:112.137.131.14:VNU_123-565062018-08-17T04:29:22Z A unified plagiarism detection framework Nguyen, Xuan Toi Nguyen, Viet Hung Pham, Bao Son plagiarism detection copied documents similarity With the rapid growth of information technology, Internet and digital libraries have been developing so fast that illegal copying of documents is becoming easier and more popular. A challenging question is how to identify documents with similar content which are candidate of plagiarism. There are several approaches for estimating the similarity between two documents and each has its own advantages and disadvantages. An approach may be effective in one domain but may not work in others. In this paper, we propose a unified plagiarism detection framework that can identify which approach works most effectively in a new domain. Experimental results on three different corpora for different languages have demonstrated the effectiveness of our approach. ' 2017-08-11T03:36:43Z 2017-08-11T03:36:43Z 2011 Article Nguyen, X. T., Nguyen, V. H., Pham, B. S. (2011). A unified plagiarism detection framework. VNU Journal of Science, Mathematics – Physics Vol. 27, No.1, 55-62 2588-1124 http://repository.vnu.edu.vn/handle/VNU_123/56506 en VNU Journal of Science, Mathematics – Physics application/pdf H. : ĐHQGHN |
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plagiarism detection copied documents similarity Nguyen, Xuan Toi Nguyen, Viet Hung Pham, Bao Son A unified plagiarism detection framework |
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With the rapid growth of information technology, Internet and digital libraries have been developing so fast that illegal copying of documents is becoming easier and more popular. A challenging question is how to identify documents with similar content which are candidate of plagiarism. There are several approaches for estimating the similarity between two documents and each has its own advantages and disadvantages. An approach may be effective in one domain but may not work in others. In this paper, we propose a unified plagiarism detection framework that can identify which approach works most effectively in a new domain. Experimental results on three different corpora for different languages have demonstrated the effectiveness of our approach. ' |
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Article |
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Nguyen, Xuan Toi Nguyen, Viet Hung Pham, Bao Son |
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Nguyen, Xuan Toi Nguyen, Viet Hung Pham, Bao Son |
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Nguyen, Xuan Toi |
title |
A unified plagiarism detection framework |
title_short |
A unified plagiarism detection framework |
title_full |
A unified plagiarism detection framework |
title_fullStr |
A unified plagiarism detection framework |
title_full_unstemmed |
A unified plagiarism detection framework |
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unified plagiarism detection framework |
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H. : ĐHQGHN |
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2017 |
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http://repository.vnu.edu.vn/handle/VNU_123/56506 |
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