Abstract：Most of the errors in the political news are semantic errors. On the basis of analyzing expression characteristics of political errors in news field text, we summarize the political error types in the newspapers, and establish the corresponding knowledge bases for political error detection. According to the research on linguistic features of political news,a formal model of detecting political errors is presented. The strategy based on the combination of rules and Statistics is used to proofread semantic errors of the political news field. The results show a good application prospect of the method: with a recall rate of 65.5% and an accuracyof 80.5%.
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2014, Vol. 28 
