In this paper, we propose a simple, languageindependent and highly effective method for predicting the degree of compositionality of multiword expressions (MWEs). We compare the translations of an MWE with the translations of its components, using a range of different languages and string similarity measures. We demonstrate the effectiveness of the method on two types of English MWEs: noun compounds and verb particle constructions. The results show that our approach is competitive with or superior to state-of-the-art methods over standard datasets.
REF predict the degree of compositionality using the string distance between the automatic translation into multiple languages of an expression and the individual translation of its components.
Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages
*SEM
Computer Science