Research into Plagiarism Cases and Plagiarism Detection Methods
نویسندگان
چکیده
منابع مشابه
Research into Plagiarism Cases and Plagiarism Detection Methods
In the age of information technology intellectual property becomes especially valuable. This is one of the causes why the cases of the plagiarism appear more frequently in all vital sectors. Due to that, there is a growing need for different instruments for the protection and verification of copyright for finding plagiarism. Before checking the document for plagiarism, reviewing algorithms and ...
متن کاملCross-Language Plagiarism Detection Methods
The present paper provides a summary on the existing approaches to plagiarism detection in multilingual context. Our aim is to organize the available data for the further research. Considering distant language pairs is of a particular interest for us. Cross-language plagiarism detection issue has acquired pronounced importance lately, since semantic contents of a document can be easily and disc...
متن کاملPlagiarism Detection and Document Chunking Methods
This paper describes the tests made on chunking methods used for plagiarism detection. The result of the tests makes it possible to decide on the best fitting chunking method for a given application. For example, overlapping word chunking is good for a grammar analyzer or for small databases, sentence chunking suits best for finding quoted texts, hashed breakpoint chunking is the fastest method...
متن کاملTest cases for plagiarism detection software
HTW Berlin Treskowallee 8 10318 Berlin [email protected] http://www.f4.htw-berlin.de/~weberwu Abstract There are numerous plagiarism detection software systems that claim to discover plagiarism of all sorts, given a digital text. This paper first discusses a typology of plagiarism, which makes clear that plagiarism is more than just an exact copy. Then a collection of 42 test cases in Germa...
متن کاملPlagiarism Detection
detection procedure consisted of automatic scanning of manuscripts using plagiarism detection software (eTBLAST and CrossCheck) and manual verification of manuscripts suspected of having been plagiarized (more than 10% text similarity). They found that 11% of manuscripts were plagiarized, 8% were true plagiarism, and 3% were self-plagiarism. The Korean Journal of family medicine (KJFM) has also...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Journal of Riga Technical University. Computer Sciences
سال: 2010
ISSN: 1407-7493
DOI: 10.2478/v10143-010-0055-1