Paper: Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality

ACL ID E14-1050
Title Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We predict the compositionality of multi- word expressions using distributional sim- ilarity between each component word and the overall expression, based on transla- tions 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 im- proved when using translations into multi- ple languages, as compared to simply us- ing distributional similarity in the source language. We further find that string sim- ilarity complements distributional similar- ity. 1 Compositionality of MWEs Multiword expressions (hereafter MWEs) are combinations of words which are lexically, syntac- tically, semantically or statistically idiosyncratic (Sag et al., 2002; Baldwin and Kim, 20...