thesisbelagipp.pdf (original) (raw)

The research investigates plagiarism detection systems, focusing on their design and evaluation. It provides insights into various types of plagiarism forms and evaluates the effectiveness of existing algorithms used for detection in different document collections. The findings indicate challenges in distinguishing between legitimate textual overlap and actual plagiarism, necessitating the refinement of detection approaches. As part of future work, the study suggests enhancements in computational methodologies and broader datasets for more accurate plagiarism identification.