Shvan Tariq

Work place: University of Human Development-Iraq

E-mail: shvanta52@gmail.com

Website:

Research Interests: Computer systems and computational processes, Artificial Intelligence, Information Systems, Database Management System, Information Retrieval

Biography

Shvan Tariq BSc Student at Computer Science in University of Human Development (UHD)-Iraq, His research areas are Information Retrieval, Artificial Intelligence, Database,  web programming, and Information System shvanta52@gmail.com.

Author Articles
Plagiarism Detection System for the Kurdish Language

By Karzan Wakil Muhammad Ghafoor Mehyeddin Abdulrahman Shvan Tariq

DOI: https://doi.org/10.5815/ijitcs.2017.12.08, Pub. Date: 8 Dec. 2017

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.

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