An Omnifont Open-Vocabulary OCR System for English and Arabic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
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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.