Based on relative entropy,this study explores the co-selection characteristics of English light verb constructions(LVCs)from a multifactor analysis.Specifically,this research employs both logistic regression and conditional inference trees to identify significant factors influencing the selection of LVC and constructs a predictive structure for LVCs with a tree-like model.The findings indicate that the co-selection of LVC is influenced by multiple factors,with register,definiteness of noun in LVC and specificity of noun in LVC being the primary influencers.By examining the significant factors on LVC co-selec-tion,this study contributes to a better understanding of the complexity and diversity of language use,offering valuable insights for language feature research from a multifactor perspective.
English light verb constructionmultifactorial analysisrelative entropyco-selection characteristics
NETL
NSTL
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