An Automatic Chinese Document Revision System Using Bit and Character Mask Approach

The errors in Chinese document are mainly caused in two stages input and editing. There are homonyms or homophones selection error, ambiguous pronunciation error, word segmentation error, similar shape character error, editing operation error and so on. In order to increase the quality of Chinese text, the conventional Chinese document revision system used the similar characters set and language model with some statistical date. Nevertheless, there are the following problems: (1) The perfect similar character set is difficult to make (2) Due to the copyright problem the large and balanced Chinese corpus is very difficult to be obtained (3) The above editing errors can not be solved simultaneously (4) The average success revision rate is not over 75%. In this paper we study the Chinese features and phonetic-input-to-character conversion system for Chinese. It is found that the Chinese phonetic information and the related conversion algorithm are much help to detect and revise the input errors in Chinese document. As to the editing errors, a special code structure of Chinese pronunciation which has only one bit difference among similar pronunciations is proposed In addition, the bits and characters mask technology is also proposed respectively. The experimental result of the proposed system show that the average success revision rate of the proposed system is close to 87%.