| 摘要 |
PROBLEM TO BE SOLVED: To make it possible to automatically estimate an error part by utilizing a text whose error generation inclination has been determined. SOLUTION: An error candidate detection part 1 includes error candidate word group knowledge 1a and detects error candidate words from an inputted text. A co-occurrence information extraction part 2 extracts various co- occurrence information corresponding to the error candidate words from the inputted text. A control part 3 controls the detection part 1 and the extraction part 2 so as to extract co-occurrence information over the whole text area. The extracted co-occurrence data are integrated by a statistic information totalization part 4 and the appearance patterns of a target word in the whole document are totalized. An error judgment part 5 judges whether error candidates extracted on the basis of the co-occurrence information are correct or not. It is also available to correct the knowledge of an error candidate word group by preparing an error statistic integration part 6 for integrating statistic information concerned with errors or a similarity evaluation part 8 for evaluating the similarity of two words in the error word group. |
