Automatic Completion of Korean Words for Open Vocabulary Pen Interface
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.
KeywordsPrimitive Operation Distinct Word Word Candidate Word Model 4gram Model
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