| Autor: |
Imran, S., Khan, M. U. G., Idrees, M., Muneer, I., Iqbal, M. M. |
| Předmět: |
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| Zdroj: |
Technical Journal of University of Engineering & Technology Taxila; 2018, Vol. 23 Issue 1, p84-92, 9p |
| Abstrakt: |
Various approaches have been implemented for plagiarism detection used, for author's work and academic publication. There is a purpose of creating such reliable and effective plagiarism detection with increasing amount of publications. This is a serious offense where one author presents someone else's work as his ownership. Moreover, these algorithms don't consider similar sections for efficient comparison. The proposed framework performs efficient sections wise plagiarism detection and provides suggestions for improving documents. The precision, recall and accuracy based on different n-gram features are presented showing the strictness of higher level n-gram features. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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