Paper Info
Title
Multilingual Plagiarism Detection
Abstract
Multilingual text processing has been gaining more and more attention in recent years. This trend has been accentuated by the global integration of European states and the vanishing cultural and social boundaries. Multilingual text processing has become an important field bringing a lot of new and interesting problems. This paper describes a novel approach to multilingual plagiarism detection. We propose a new method called MLPlag for plagiarism detection in multilingual environment. This method is based on analysis of word positions. It utilizes the EuroWordNet thesaurus which transforms words into language independent form. This allows to identify documents plagiarized from sources written in other languages. Special techniques, such as semantic-based word normalization, were incorporated to refine our method. It identifies the replacement of synonyms used by plagiarists to hide the document match. We performed and evaluated our experiments on monolingual and multilingual corpora and results are presented in this paper.
Year
DOI
Venue
2008
10.1007/978-3-540-85776-1_8
Artificial Intelligence: Methodology, Systems, Applications
Keywords
Field
DocType
word position,multilingual environment,multilingual corpus,multilingual plagiarism detection,eurowordnet thesaurus,document match,plagiarism,eu- rowordnet,multilingual text processing,copy detection,thesaurus,semantic-based word normalization,nature language processing,plagiarism detection,new method,european state,lemmatization.,natural language processing
Lemmatisation,Normalization (statistics),Plagiarism detection,Copy detection,Computer science,Artificial intelligence,Natural language processing,EuroWordNet,Text processing
Conference
Volume
ISSN
Citations 
5253
0302-9743
16
PageRank 
References 
Authors
0.91
9
3
Name
Order
Citations
PageRank
Zdenek Ceska1422.56
Michal Toman2171.65
Karel Jezek311011.77