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Research on Constructing Automatic Recognition Model for Ancient Chinese Place Names Based on Pre-Qin Corpus
Received date: 2015-05-23
Revised date: 2015-06-05
Online published: 2015-06-20
[Purpose/significance] Under the trend of digital humanities research, the automatic recognition model for ancient Chinese place names is constructed based on Pre-Qin ancient Chinese corpus and conditional random field.[Method/process] The internal and external characteristics of ancient Chinese place names in Zuo Commentary are analyzed, and the feature template of model is constructed. The training model, which is gained in train and test corpus of 187,901 words and the F-score of which is 91.52%, is best identified the ancient Chinese place names recognition model and applied the model to recognize the place name in Guo Yu by comparing the recognition results of the models of conditional random field and maximum entropy .[Result/conclusion] The model of conditional random field is better than the model of maximum entropy in recognizing ancient Chinese place names. The performance of automatic recognition model based on conditional random field trained in annotated corpus is very well.
Huang Shuiqing , Wang Dongbo , He Lin . Research on Constructing Automatic Recognition Model for Ancient Chinese Place Names Based on Pre-Qin Corpus[J]. Library and Information Service, 2015 , 59(12) : 135 -140 . DOI: 10.13266/j.issn.0252-3116.2015.12.020
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