DocumentCode
536483
Title
Research on Applicability of Sentence Similarity Algorithms in Text Copy Detection
Author
Kong Sheng ; Wang Yu
Author_Institution
Sch. of Manage., Dalian Univ. of Technol., Dalian, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
5
Abstract
Sentence similarity computation is the research topic of domain of natural language processing, and plays an important role in the example-based machine translation, information retrieval, text mining and other fields. Those sentence similarity algorithms have different applicability in different environments. This paper reviewed and analyzed five kinds of sentence similarity algorithm, and tested them in the field of text copy detection. In the end, the effect of different sentence similarity algorithms to the result of text copy detection was analyzed and evaluated.
Keywords
natural language processing; text analysis; natural language processing; sentence similarity algorithm; text copy detection; Algorithm design and analysis; Classification algorithms; Dictionaries; Information retrieval; Natural language processing; Plagiarism; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5660180
Filename
5660180
Link To Document