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

Content Provider	IEEE Xplore Digital Library
Author	Alzahrani, S. Salim, N. Kent, C.K. Binwahlan, M.S. Suanmali, L.
Copyright Year	2010
Description	Author affiliation: Science and Technology, SuaDusit Rajabhat University, Bangkok, Thailand (Suanmali, L.) \|\| CS & Info. Sys., Universiti Teknologi Malaysia, Johor, Malaysia (Salim, N.; Kent, C.K.; Binwahlan, M.S.) \|\| CS & Info. Sys., Taif University, Taif, Saudi Arabia (Alzahrani, S.)
Abstract	This 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 Lx 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.
Starting Page	86
Ending Page	90
File Size	368837
Page Count	5
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Google Text analysis Plagiarism Conferences fuzzy swarm-based summarisation Software plagiarism detection Intelligent systems cross-language web-based
Content Type	Text
Resource Type	Article

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