• DocumentCode
    637342
  • Title

    Syllable-based Malay word stemmer

  • Author

    JunChoi Lee ; Othman, Razib M. ; Mohamad, Nor Zulaily

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
  • fYear
    2013
  • fDate
    7-9 April 2013
  • Firstpage
    7
  • Lastpage
    11
  • Abstract
    Word stemmer is one of the basic and crucial text processing tools in any languages. Word stemmer is not only useful in morphological study but also play an important role in word level context analysis. Due to the existence of prefix, suffix, infix and a combination of affixes in Malay word, it raises the complexity of performing stemming to Malay word. An approach to stem Malay word using syllabification algorithm is introduced. This approach performs stemming through comparing syllable in the word thus reduces the parsing processes. The approach shows high practicality as it produces a very high accuracy in the evaluation.
  • Keywords
    natural language processing; text analysis; parsing process; syllabification algorithm; syllable-based Malay word stemmer; text processing tool; word level context analysis; Accuracy; Algorithm design and analysis; Computer science; Computers; Dictionaries; Informatics; Prototypes; Malay Text; Stemmer; Syllabification; rule-based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Informatics (ISCI), 2013 IEEE Symposium on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4799-0209-5
  • Type

    conf

  • DOI
    10.1109/ISCI.2013.6612366
  • Filename
    6612366