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UOT 004
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ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Alguliyev , R.M. A linguistic treatment for automatic external plagiarism detection / R.M. Alguliyev , R.M. Aliguliyev // Knowledge-Based Systems. - 2017. - N: 135. - P. 135-146. | Annotasiya | Plagiarism is the unauthorized use of the ideas, presentation of someone else’s words or work as your
own. This paper presents an External Plagiarism Detection System (EPDS), which employs a combination
of the Semantic Role Labeling (SRL) technique, the semantic and syntactic information. Most of the
available methods fail to capture the meaning in the comparison between a source document sentence
and a suspicious document sentence when two sentences have same surface text. Therefore, it leads to
incorrect or even unnecessary matching results. However, the proposed method is able to avoid selecting
the source text sentence whose similarity with suspicious text sentence is high but its meaning is
different. On the other hand, an author may change the sentence from: active to passive and vice versa;
hence, the method also employed the SRL technique to tackle the aforementioned challenge. Furthermore,
the method used the content word expansion approach to bridge the lexical gaps and identify the
similar ideas that are expressed using different wording. The proposed method is able to detect different
types of plagiarism such as the exact verbatim copying, paraphrasing, transformation of sentences, changing
of word structure. As a result, the experimental results have displayed that the proposed method is able
to improve the performance compared with the participating systems in PAN-PC-11 and other existing
techniques | Elektron variant | Elektron variant |
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