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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
H. : ĐHQGHN
2017
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| Subjects: | |
| Online Access: | http://repository.vnu.edu.vn/handle/VNU_123/56506 |
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| Institution: | Vietnam National University, Hanoi |
| Language: | English |
| Summary: | 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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