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英语动词型式自动识别研究 / 于涛； 梁茂成.
// 外语教学与研究 vol.49, no.3 (May 2017) tr.366-378. This paper aims to automatically extract English verb patterns based on similarity measure and clustering of concordances. The results show that 1) different verbs, the number of concordances and the heterogeneous level of concordances all influence the precision of the clustering of concordances and that the selection of the number of groups based on the internal validity of KMeans algorithm is much more flexible and open, which yields better results and higher precision; 2) average precision indices of automatic pattern extraction are 90.99% and 95.91% respectively in the two clusters of concordances involved, higher than the average precision achieved in previous studies(81%), with parentheses and special sentence structures as the main causes influencing the precision and recall of the automatic extraction of English verb patterns. It is believed that the automatic pattern identification and extraction model proposed in this study is quite feasible and applicable.
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