Kümelemeye dayalı harici intihal ve paralel metin tespit yöntemi

Today different editions and translations of the same literary text can be found.Intuitively such translations that are based on the same literary text are expectedto possess significantly similar structure. In the same way, it is possible that atext that is suspected to have plagiarism can possess structural similarities withthe text that is believed to be the source of the plagiarism. Textual plagiarismimplies the usage of an author?s text, his/her work or the idea that is inserted inanother textual work without giving a reference or without taking the permissionof the original text?s author. Today, existing intrinsic and external plagiarism detectionmethods tend to detect plagiarism cases within a given dataset in order torun these algorithms in a reasonable amount of time. Hence a reference documentset is built in order to search for plagiarism cases successfully by these algorithms.In this thesis, a method for detecting and quantifying the external plagiarism andparallel corpora is introduced. For this purpose, we use the structural similaritiesin order to analyze plagiarism detection problem and to quantify the similaritybetween given texts. In this method, suspicious and source texts are partitionedinto corresponding blocks. Each block is represented as a group of documentswhere a document consists of a fixed amount of words. Then, blocks are indexedand clustered by using the cover coefficient clustering algorithm. Cluster formationsfor both texts are then analyzed and their similarities are measured. Theresults over PAN?09 plagiarism dataset and over different versions of the famousliterary text classic Leyla and Mecnun show that the proposed method successfullydetects and quantifies the structurally similar plagiarism cases and succeedsin detecting the parallel corpora.