Automatic cross-language plagiarism detection

Anguita A.; Beghelli, A.; Creixell, W.

Keywords: systems, learning, support, knowledge, algorithms, language, detection, internet, property, linguistics, machine, vector, methods, electronic, sources, plagiarism, processing, natural, word, intellectual, engineering, Computational, Document, Machine-learning

Abstract

In this paper a new method to detect cross-language plagiarism in electronic documents is presented. The method is based on natural language processing techniques and machine learning methods. Preliminary results show that the system is able to identify the Internet sources of plagiarism of texts written in Spanish that have been copied (by humans and machines) from English sources. © 2011 IEEE.

Más información

Título de la Revista: 1604-2004: SUPERNOVAE AS COSMOLOGICAL LIGHTHOUSES
Editorial: ASTRONOMICAL SOC PACIFIC
Fecha de publicación: 2011
Página de inicio: 173
Página final: 176
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84857297111&partnerID=q2rCbXpz