• DocumentCode
    548925
  • Title

    Spelling error detector rule for Jawi stemmer

  • Author

    Sulaiman, Suliana ; Omar, Khairuddin ; Omar, Nazlia ; Murah, Zamri ; Rahman, H.A.

  • Author_Institution
    Pattern Recognition Res. Lab., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 June 2011
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    Stemmer is important especially for information and document retrieval. It can also help to reduce the size of the dictionary. Normally Malay stemmers need to have a root word dictionary to increase the stemmer´s accuracy. In Jawi stemmer, we use Jawi spelling error rule to detect whether the program produces the correct stemmed word after all possible affixes have been removed. Jawi spelling error rule has been tested using 3018 data in Jawi with two syllables root word and the result was compared manually. The result shows 97.8% accuracy of Jawi spelling word with two syllables which have been checked correctly using the `spelling error detector rule´.
  • Keywords
    dictionaries; information retrieval; Jawi stemmer; Malay stemmers; document retrieval; information retrieval; root word dictionary; spelling error detector rule; Accuracy; Computational linguistics; Detectors; Dictionaries; Inference algorithms; Information science; Morphology; Jawi; Spelling error detector rule;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Analysis and Intelligent Robotics (ICPAIR), 2011 International Conference on
  • Conference_Location
    Putrajaya
  • Print_ISBN
    978-1-61284-407-7
  • Type

    conf

  • DOI
    10.1109/ICPAIR.2011.5976915
  • Filename
    5976915