Chinese Term Extraction Based on PAT Tree

A new method of automatic Chinese term extraction is proposed based on Patricia (PAT) tree. Mutual information is calculated based on prefix searching in PAT tree of domain corpus to estimate the internal associative strength between Chinese characters in a string. It can improve the speed of term candidate extraction largely compared with methods based on domain corpus directly. Common collocation suffix, prefix bank are constructed and term part of speech (POS) composing rules are summarized to improve the precision of term extraction. Experiment results show that the F-measure is 74.97%.