... Association for Computational Linguistics:shortpapers, pages 153–158,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsAM-FM: A Semantic Framework for Translation ... it still performs well above random chance predictions, which, for the given average of 4 items per ranking, is about 25% for best and worst ranking predictions, and about 8.33% for both. Again, ... objective of this work is to propose and evaluate AM-FM, a semantic framework for assessing translation quality without the need for reference translations. The proposed framework is theoretically...