We predict the compositionality of multiword expressions using distributional similarity between each component word and the overall expression, based on translations into multiple languages. We evaluate the method over English noun compounds, English verb particle constructions and German noun compounds. We show that the estimation of compositionality is improved when using translations into multiple languages, as compared to simply using distributional similarity in the source language. We further find that string similarity complements distributional similarity.
REF use distributional similarity measures to identify MWE candidates in the source language.
Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality
EACL
Computer Science