黄德根Huang Degen

(教授)

 博士生导师  硕士生导师
学位:博士
性别:男
毕业院校:大连理工大学
所在单位:计算机科学与技术学院
电子邮箱:huangdg@dlut.edu.cn

论文成果

A Hierachical Collocation Extraction Tool

发表时间:2019-03-11 点击次数:

论文名称:A Hierachical Collocation Extraction Tool
论文类型:会议论文
收录刊物:EI、CPCI-S、Scopus
页面范围:51-55
关键字:collocation extraction; collocation definition; similar word; dependency relation; WordSmith
摘要:we design a hierarchical collocation extraction tool according to the three-layered linguistic properties of collocation. Based on the structured definitions of collocation, the extraction goes through three phases: i) extracting peripheral collocations in the frequency layer from dependency triples, ii) extracting semiperipheral collocations in the syntactic layer by association measures (AMs), iii) extracting core collocations in the semantic layer with a similar word thesaurus. The thesaurus is created by taking all the collocations of a word as its features and computing the similarity between any two words. Experiments on our test corpus of China English with Oxford Collocations Dictionary as the gold standard show that the integrated measure (LMP) we propose outperforms the other 3 AMs. The syntactic constraints in Phase-II filter out much noise from surface co-occurrences, the semantic constraints at Phase-III are effective in identifying the very "core" collocations, and the keyness of the words on the test set is a significant factor when a published collocation dictionary is taken as the gold standard. The tool can be a convenient aid for linguists and language teachers and learners.
发表时间:2015-08-26