Automatic Chinese Term Extraction Based on Decomposition of Prime String
Yong Zhang · Jisuanji gongcheng · 2006
In view of Chinese word characteristic,this paper proposes an ATE algorithm,which is based on the decomposition of prime string.Word can be classified to two groups: prime words with simple structure and combined words with complex structure.Prime words are extracted using the F-MI parameter,and combined words are extracted by the decomposition of prime string.Experiments show the algorithm can effectively improve the precision in Chinese ATE.Now this method has been applied to the project of National Language Resources Monitor Research Center(Network Media) for the extraction of words online.