• 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