Multilingual Plagiarism Detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F08%3A00502253" target="_blank" >RIV/49777513:23520/08:00502253 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Multilingual Plagiarism Detection
Original language description
Multilingual text processing has been gaining more and more attentin 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 becomean important field brigning 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 alanylis of word positions.It utilizes the EuroWordNet thesaurus which transform words into language independent form. This allows to identify documents plagiarized from sources written in other languages. We performed and evaluated our experimentson monolingual and multilingual corpora and results are presented in this paper.
Czech name
—
Czech description
—

Project
<a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Artificial Intelligence: Methodology, Systems and Applications
ISBN
978-3-540-85775-4
ISSN
—
e-ISSN
—
Number of pages
9
Pages from-to
—
Publisher name
Springer
Place of publication
Berlin
Event location
Jiaozuo
Event date
May 17, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000259298300008

Similar results(10)