Plagiarism detection system for the kurdish language
Автор: Karzan Wakil, Muhammad Ghafoor, Mehyeddin Abdulrahman, Shvan Tariq
Журнал: International Journal of Information Technology and Computer Science @ijitcs
Статья в выпуске: 12 Vol. 9, 2017 года.
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One of the serious issues is plagiarism, especially in the education field. Detecting the plagiarism became a challenging task, particularly in natural language texts. In the past years, some plagiarism detection tools have been developed for diverse natural languages, mainly English. Language-independent tools exist as well but are considered as too restrictive as they usually do not consider specific language features. The problem is there is no plagiarism Detection system for the Kurdish language. In this paper, we introduce a new system for plagiarism detection for Kurdish Language, based on n-gram algorithm, our system can detect the word, phrases, and paragraphs. Moreover, our system effectiveness for detect plagiarist texts in localhost and online especially in Google search engine. This system is more useful for the academic organizations such as schools, institutes, and universities for finding copied texts from another document.
Plagiarism Detection, Plagiarism Detection System, N-Gram, Kurdish Language, Theft
Короткий адрес: https://sciup.org/15016220
IDR: 15016220 | DOI: 10.5815/ijitcs.2017.12.08
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