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Orientador(es)
Resumo(s)
In the academic context, it is very important to evaluate the uniqueness of reports, scientific papers and other documents that are everyday disseminated on the web. There are already several tools with this purpose but not for Armenian texts. In this paper, a system to analyze the similarity of Armenian documents is presented. The idea is to collect a set of documents of the same domain in order to identify keywords. Then, based on that information, the system receives two documents and compares them calculating the probability of plagiarism. For that, an approach based on several levels of analysis is implemented and some of those
steps allow the user interaction choosing options or adding more information.
Descrição
Palavras-chave
Natural language processing Plagiarism detection Sinonymizer Document uniqueness
Contexto Educativo
Citação
Margarov, Gevorg; Tomeyan, Gohar; Pereira, Maria João (2017). Plagiarism detection system for Armenian language. In 11th International Conference on Computer Science and Information Technologies. Yerevan, Armenia
Editora
The National Academy of Science of Armenia and The Institute for Informatics and Automation Problems
