Paper Info
Title
Plagiarism Detection and Document Chunking Methods
Abstract
ABSTRACT This paper describes the tests made on chunking methods,used for plagiarism detection. The result of the ,tests makes ,it possible to decide,on the ,best fitting chunking ,method ,for ,a given application. For example, overlapping word chunking is good for agrammar analyzer or for small databases, sentence chunking suits best for finding quoted texts, hashed breakpoint chunking is the fastest method ,therefore advisable for search in big ,set of documents, or if more reliability is needed overlapping hashed breakpoint chunking,can be used as well. Categories and Subject Descriptors H.3.1 [Content Analysis and Indexing] General Terms
Year
Venue
Keywords
2003
WWW Posters
content analysis,indexation
Field
DocType
Citations 
Chunking (computing),Plagiarism detection,Computer science,Grammar,Artificial intelligence,Chunking (psychology),Natural language processing,Sentence
Conference
2
PageRank 
References 
Authors
0.37
0
1
Name
Order
Citations
PageRank
Máté Pataki1244.15