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.
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References
C. D. Manning, Foundations of statistical natural language processing, MIT Press, 1999
D. Jurafsky and J. H. Martin,. Speech and language recognition, Prentice-Hall, 2000
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, 1999
J.K. Park and J. Kim, A study on error correction in Hangul text recognition system, Master Thesis, KAIST, 1989
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© 2002 Springer-Verlag Berlin Heidelberg
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Ryu, S., Kim, JH. (2002). Automatic Completion of Korean Words for Open Vocabulary Pen Interface. In: Lopresti, D., Hu, J., Kashi, R. (eds) Document Analysis Systems V. DAS 2002. Lecture Notes in Computer Science, vol 2423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45869-7_14
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DOI: https://doi.org/10.1007/3-540-45869-7_14
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