Sentence-based Plagiarism Detection focusing on Nouns and Part-of-Speech Structure

Plagiarism by the copy and paste of documents written by other authors has recently become a large problem as electronic documents have increased. In higher educational institutions, it is also of great concern in student reports. In this paper, we have proposed a novel method to automatically detect plagiarism, especially for reports in Japanese and focusing on noun correspondence and the structure of parts of speech for each sentence. We have also performed experiments to evaluate our method with actual experimental reports written by our students to confirm its effectiveness.