A Chinese Spelling Check System for the OCR Output
Rong Li · Zhongwen xinxi xuebao · 2009
This paper describes a spelling check system for OCR output of Chinese text.A large training corpus is used to set up an error-pattern database.At first,the correct sentence and the sentence with errors are matched with the different characters between them extracted.Then an error-word extracting algorithm is executed to get the the error-patterns in the form of(correction-word,error-word,count).In such built error-pattern database,every error pattern in it can be considered as a rule for correcting errors.We further apply the error-pattern database according to the length of the error-word: direct application if the length is larger than two characters otherwise a verification algorithm will be applied.The above method lies in the core of the THOCR spelling check system,and experimental results are provided.