Computer Science ›› 2016, Vol. 43 ›› Issue (7): 230-233.doi: 10.11896/j.issn.1002-137X.2016.07.041

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Model to Solve English Verb-Noun Collocation Errors

DU Yi-min, WU Gui-xing and WU Min   

  • Online:2018-12-01 Published:2018-12-01

Abstract: English learners often make mistakes about verb-noun collocations.Through the analysis of verb-noun collocation errors in CLEC, a model was proposed to correct these mistakes made by Chinese learners in this paper.A libraryon verb-noun collocations was first built,a method was then put forward to measure the similarity between the collocations,and similarity between the target and the library was calculated to get a coarse similar-collocation set.After that,a classification was applied to filer out incorrect collocations,and the final candidate set would be ranked by a language model to obtain the correction suggestions.In the test data constructed by the BNC corpus,this method which combines similarity inference and contextual features has a significant effect on verb-noun collocation errors’ correction.

Key words: Collocation error,Classification,Language model

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