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Automatic Completion of Korean Words for Open Vocabulary Pen Interface

  • Sungho Ryu
  • Jin-Hyung Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2423)

Abstract

An automatic completion method of general Korean words is proposed. A word model that describes the frequency of usage is used for generation of word candidates from a given prefix. In experiments, several different models for Korean words were tested for prediction performance. The results show that the best model can reduce the number of writing characters about 38% with 5 candidates.

Keywords

Primitive Operation Distinct Word Word Candidate Word Model 4gram Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    I. Bazzi et.al., An omnifont open-vocabulary OCR system for English and Arabic, IEEE Trans. on PAMI., vol.21, no.6, pp.495–504, 1999Google Scholar
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    J.K. Park and J. Kim, A study on error correction in Hangul text recognition system, Master Thesis, KAIST, 1989Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Sungho Ryu
    • 1
  • Jin-Hyung Kim
    • 1
  1. 1.AI Lab., CS Div.KAIST, Kusung-DongTaejonKorea

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