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dc.contributor.authorFan, Chih-Tienen_US
dc.contributor.authorNguyen Dang Minhen_US
dc.contributor.authorMuhammad, Husainien_US
dc.date.accessioned2019-04-02T06:04:35Z-
dc.date.available2019-04-02T06:04:35Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn0922-6389en_US
dc.identifier.urihttp://dx.doi.org/10.3233/978-1-61499-484-8-2090en_US
dc.identifier.urihttp://hdl.handle.net/11536/150911-
dc.description.abstractNowadays, language barrier is getting lower, especially for the students. Most of them know at least one foreign language. Even that, translation through the cloud is getting popular. There are many machine translation services can be access easily via Internet. These services work accurately and support many languages. They are even embedded by default in web browser of users and in mobile devices. This is easiest way for a student to translate a sentence from any language, and of course easy for cross-language plagiarism too. It makes plagiarism is getting difficult to detect. In this paper, we exploited cloud services and cloud computing model for detecting cross-language plagiarism. We downloaded a translation of the article from a website of Vietnam and Vietnamese local news provider then used as a test dataset. These articles were first translated into the English using translation services on the Web. Again, each translated sentences were sent to the web search engine to find related articles. Then, we compared this sentence with each sentence in the related articles to find out its score of plagiarism. Finally, we computed the score of plagiarism of this article. Experiment results show that the accuracy of detection is slightly higher than 0.5.en_US
dc.language.isoen_USen_US
dc.subjectPlagiarism detectionen_US
dc.subjectCross-language plagiarism detectionen_US
dc.subjectCloud computingen_US
dc.subjectMapReduceen_US
dc.titleA Cross Language Plagiarism Detection Based on Cloud Computingen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.3233/978-1-61499-484-8-2090en_US
dc.identifier.journalINTELLIGENT SYSTEMS AND APPLICATIONS (ICS 2014)en_US
dc.citation.volume274en_US
dc.citation.spage2090en_US
dc.citation.epage2099en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000454394100213en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper