This paper describes our participation in the MWE 2008 evaluation campaign focused on ranking MWE candidates. Our ranking system employed 55 association measures combined by standard statistical-classification methods modified to provide scores for ranking.
Our results were crossvalidated and compared by Mean Average Precision. In most of the experiments we observed significant performance improvement achieved by methods combining multiple association measures.