Reasoning Model of Multi-level Chinese Text Error-detecting Based on Knowledge Bases
Lin Wu, Yangsen Zhang · Jisuanji gongcheng · 2012
The previous search on text error-detecting focused on words-level,and the syntax and semantic errors reasoning are not paid enough attention.Words,syntax and semantic knowledge bases are enlarged and constructed by taking advantage of statistic model and massive People's Daily corpus to resolve the relevant level error reasoning,and the relevant multi-level reasoning model is put forward.The comprehensive three-level text proofreading algorithm is implemented.The constructed system can check various text errors.Experimental results show that the system has a better performance,and the recall rate is 85.62%.