Chinese Error Correction of Searching Engine under N-Gram Statistic Model
Gang Liu, Zhi‐Peng Chen · 2010
In Chinese language the key words error correction in searching engine is an important assisting function in improving the search efficiency. An information statistical method completely through analyzing the context is put forward. According to the features of Chinese language, based on the establishment of N-gram Statistics Model, analysis and comparison, through calculating the weightiness of TF/IDF, the optimized error correction result can be obtained; finally, the experiment proved that this method realized the automatic detection and error correction of key words which were put into the searching engine.