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We examine lexical access preferences and constraints in computing multiword expression associations from the standpoint of a high-impact extrinsic task-based performance measure, namely semantic machine translation evaluation. In automated MT evaluation metrics, machine translations are compared against human reference translations, which are almost never worded exactly the same way except in the most trivial of cases. Because of this, one of the most important factors in correctly predictingdoi:10.3115/v1/w14-4719 dblp:conf/cogalex/WuLS14 fatcat:cenznrrc4jak3pferczmpwmo6m