We present a new model for acquiring comprehensive multiword lexicons from large corpora based on competition among n-gram candidates.
to the standard approach of simple ranking by association measure, in our model n-grams are arranged in a lattice structure based on subsumption and overlap relationships, with nodes inhibiting other nodes in their vicinity when they are selected as a lexical item.