Automatic cross-language plagiarism detection
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 |