• DocumentCode
    2244410
  • Title

    The Research of the Most Short-Path´s Chinese Words Segmentation Words Model Based on N1

  • Author

    Lin, Hongwei ; Lin, Zhuying

  • Author_Institution
    Guizhou Normal Univ., Guiyang
  • Volume
    2
  • fYear
    2009
  • fDate
    30-31 May 2009
  • Firstpage
    271
  • Lastpage
    274
  • Abstract
    This article introduced in the natural language understanding´s Chinese segmentation words technology, elaborated emphatically segmentation wordspsila method and implement principle based on the statistical, proposed by based on statistical segmentation words technology primarily ldquocompound prescriptionrdquo segmentation method, in the analysis words segmentation process a N- most short-path´s statistical model, has caused Chinese segmentation words technology had the certain extent enhancement in the efficiency and the rate of accuracy.
  • Keywords
    natural language processing; statistics; word processing; N-most short-path statistical model; compound prescription segmentation method; most short-path Chinese words segmentation words model; natural language understanding; statistical segmentation words technology; Context-aware services; Dictionaries; Displays; Electronic mail; Frequency conversion; Natural languages; Probability; Robots; Statistical analysis; Statistics; Chinese words segmentation; algorithm; model; the most short-path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Digital Society, 2009. ICNDS '09. International Conference on
  • Conference_Location
    Guiyang, Guizhou
  • Print_ISBN
    978-0-7695-3635-4
  • Type

    conf

  • DOI
    10.1109/ICNDS.2009.147
  • Filename
    5116736