DocumentCode
2119553
Title
Research on Segmentation in Deleting Repeat Questions
Author
Ren, Xueli ; Dai, Yubiao
Author_Institution
Coll. of Comput. Sci. & Eng., Qujing Normal Univ., Qujing, China
fYear
2010
fDate
24-26 Dec. 2010
Firstpage
228
Lastpage
231
Abstract
It is an effective method that deletes repeat questions to provide quality of question bank. The main way is semantic similarity computing to solve repeat questions deleting but which depends on correct segmentation of text. A highly efficient and accurate method to segment words is proposed which combines word segmentation based on dictionary with reverse maximum matching and based on statistics with suffix arrays. And the idea references design of memory. The accuracy of word segmentation may achieve 97% and have 10% of increase in constructing question bank for principles of computer organization.
Keywords
dictionaries; statistical analysis; word processing; computer organization; dictionary; idea references design; question bank quality; repeat question deletion; reverse maximum matching; statistics; suffix arrays; word segmentation; Accuracy; Arrays; Computers; Dictionaries; Education; Information filters; Similarity; Suffix array; Word Segmentation based on Dictionary; Word Segmentation based on statistic;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ISISE), 2010 International Symposium on
Conference_Location
Shanghai
ISSN
2160-1283
Print_ISBN
978-1-61284-428-2
Type
conf
DOI
10.1109/ISISE.2010.46
Filename
5945090
Link To Document