Salha AlzahraniNaomie SalimChow Kok KentMohammed Salem BinwahlanLadda Suanmali2025-03-102025-03-102010Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10978-142448135-410.1109/ISDA.2010.56872872-s2.0-79851487484https://repository.dusit.ac.th//handle/123456789/5040This work presents the design and development of a web-based system that supports cross-language similarity analysis and plagiarism detection. A suspicious document dq in a language Lq 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 Lx other than Lq via a dictionary-based translation. Thereafter, a detailed similarity analysis across the languages Lq and L xis performed and friendly report of results is produced. Such report has global similarity score on the whole document, which assures high flexibility of utilisation. © 2010 IEEE.Cross-languageFuzzy swarm-based summarisationPlagiarism detectionWeb-basedConference paperScopus