This paper presents a constructioninspecific model of multiword expression decomposability based on latent semantic analysis. We use latent semantic analysis to determine the similarity between a multiword expression and its constituent words, and claim that higher similarities indicate greater decomposability. We test the model over English noun-noun compounds and verb-particles, and evaluate its correlation with similarities and hyponymy values in WordNet. Based on mean hyponymy over partitions of data ranked on similarity, we furnish evidence for the calculated similarities being correlated with the semantic relational content of WordNet.
REF present a method that decides about the non-compositionality of English NCs and verb particle constructions by using latent semantic analysis to calculate the similarity between a MWE and its components.
An Empirical Model Of Multiword Expression Decomposability
Workshop On Multiword Expressions: Analysis, Acquisition And Treatment
Computer Science