Chinese place names recognition for Chinese automatic segmentation

Aiming at identifying word-level Chinese place names,Chinese place name candidates are generated with statistics information and internal characteristics of place names.In segmentation,Chinese place name candidates with higher confidence are treated as common word candidates obtained from the dictionary.Various segmentations of a sentence are evaluated with word candidates′ confidence and context information.Chinese place names are recognized when determining the optimal segmentation of the sentence.Close and open tests were conducted on real corpus: the close test results are the recall-back rate 93.55%,accurate rate 94.14%,F-1 value 93.85%;the open test results are 91.27%,73.48%,81.42% respectively.Experimental results are satisfactory.