CDER: Efficient MT Evaluation Using Block Movements 
 Most state-of-the-art evaluation measures for machine translation assign high costs to movements of word blocks. In many cases though such movements still result in correct or almost correct sentences . In this paper, we will present a new evaluation measure which explicitly models block reordering as an edit operation . Our measure can be exactly calculated in quadratic time . Furthermore, we will show how some evaluation measures can be improved by the introduction of word-dependent substitution costs . The correlation of the new measure with human judgment has been investigated systematically on two different language pairs . The experimental results will show that it significantly outperforms state-of-the-art approaches in sentence-level correlation . Results from experiments with word dependent substitution costs will demonstrate an additional increase of correlation between automatic evaluation measures and human judgment .  