Automatic Conceptual Analysis for Plagiarism Detection
نویسندگان
چکیده
منابع مشابه
Automatic Conceptual Analysis for Plagiarism Detection
In order to detect plagiarism, comparisons must be made between a target document (the suspect) and reference documents. Numerous automated systems exist which check at the text-string level. If the scope is kept constrained, as for example in within-cohort plagiarism checking, then performance is very reasonable. On the other hand if one extends the focus to a very large corpus such as the WWW...
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Plagiarism involves reproducing the existing information in modified format or sometimes the original document as it is. This is quiet common among students, researchers and academicians. This has made some strong influence on research community and awareness among academic peoples to prevent such a kind of malpractice. Though there exits some commercial tools to detect plagiarism, still plagia...
متن کاملRunning head: Automatic student plagiarism detection: future perspectives AUTOMATIC STUDENT PLAGIARISM DETECTION: FUTURE PERSPECTIVES
The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in the recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to evaluation and comparison of plagiarism dete...
متن کاملAutomatic Student Plagiarism Detection: Future Perspectives
The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to evaluation and comparison of plagiarism detectio...
متن کاملFuzzy-Semantic Similarity for Automatic Multilingual Plagiarism Detection
A word may have multiple meanings or senses, it could be modeled by considering that words in a sentence have a fuzzy set that contains words with similar meaning, which make detecting plagiarism a hard task especially when dealing with semantic meaning, and even harder for cross language plagiarism detection. Arabic is known by its richness, word’s constructions and meanings diversity, hence c...
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ژورنال
عنوان ژورنال: Issues in Informing Science and Information Technology
سال: 2007
ISSN: 1547-5840,1547-5867
DOI: 10.28945/974