Cross-Language Plagiarism Detection Based on CLAD Method
Jasurbek Atadjanov1, Boburbek Atadjanov2
1Jasurbek Atadjanov*, Software Developer at Uztelecom. Tashkent University of Information Technologies (TUIT), Tashkent, Uzbekistan.
2Bobur Atadjanov, Software Developer at Uztelecom. Tashkent University of Information Technologies (TUIT), Tashkent, Uzbekistan.
Manuscript received on November 16, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 4903-4909 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7404129219/2019©BEIESP | DOI: 10.35940/ijitee.B7404.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper describes the cross-language plagiarism detection method CLAD (Cross-Language Analog Detector) between test document and indexed documents. The main difference of this method from existing versions is the detection of plagiarism among multiple languages not only two languages. While translating terms, it used the dictionary-based machine-translation method. CLAD’s working process consists of document indexing and detection process phases. In this paper, we will describe both of these phases.
Keywords: Stemming Text, Search Information from Document, Cross-language Plagiarism Detection
Scope of the Article: Natural Language Processing