Online Multilingual Plagiarism Detection System Using Multi Search Engines

Journal of Southwest Jiaotong University(2019)

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摘要
Using someone else's work or ideas without attribution is plagiarism, whether you meant to do it or not. Unintended plagiarism of snippet of text can have serious consequences and be a serious form of ethical misconduct. The current system is a web application that enables you to check a multilingual text, with special focus on Arabic, for duplicate contents on the World Wide Web. In this system, you can simply input or paste your text through the online system and for each sentence in the text it will go through three popular search engines: Google, Bing, and Yandex SERP and try to find the top three results on the first page for each search engine where duplicate contents already exist. This system is getting data from the three-search engines custom search APIs. Then, the system uses a text similarity technique between the suspicious sentence and the retrieved text snippet for all nine results. The result is the one that gives the highest similarity rate. The results were encouraging and will open doors for new and innovative techniques for researchers in this field.
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