Exactus like: Plagiarism detection in scientific texts

The paper presents an overview of Exactus Like – a plagiarism detection system. Deep parsing for text alignment helps the system to find moderate forms of disguised plagiarism. The features of the system and its advantages are discussed. We describe the architecture of the system and present its performance. © Springer International Publishing Switzerland 2016.

Авторы
Sochenkov I. 1, 2 , Zubarev D.2 , Tikhomirov I.2 , Smirnov I.2 , Shelmanov A.2 , Suvorov R.2 , Osipov G.2
Язык
Английский
Страницы
837-840
Статус
Опубликовано
Том
9626
Год
2016
Организации
  • 1 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 2 Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russian Federation
Ключевые слова
Information retrieval; Plagiarism detection; Scientific texts; Text alignments; Intellectual property
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/4139/
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