The development of cross-language plagiarism detection tool utilising fuzzy swarm-based summarisation

This work presents the design and development of a web-based system that supports cross-language similarity analysis and plagiarism detection. A suspicious document d_q in a language L_q is to be submitted to the system via a PHP web-based interface. The system will accept the text through either uploading or pasting it directly to a text-area. In order to lighten large texts and provide an ideal set of queries, we introduce the idea of query document reduction via summarisation. Our proposed system utilised a fuzzy swarm-based summarisation tool originally built in Java. Then, the summary is used as a query to find similar web resources in languages L_x other than L_q via a dictionary-based translation. Thereafter, a detailed similarity analysis across the languages L_q and L_x is performed and friendly report of results is produced. Such report has global similarity score on the whole document, which assures high flexibility of utilisation.