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We describe our systems for Tasks 1 and 2 of the WMT15 Shared Task on Quality Estimation. Our submissions use (i) a continuous space language model to extract additional features for Task 1 (SHEF-GP, SHEF-SVM), (ii) a continuous bagof-words model to produce word embeddings as features for Task 2 (SHEF-W2V) and (iii) a combination of features produced by QuEst++ and a feature produced with word embedding models (SHEF-QuEst++). Our systems outperform the baseline as well as many otherdoi:10.18653/v1/w15-3041 dblp:conf/wmt/ShahLPBBBS15 fatcat:rykcrg6575acbaoa5hbm7jnsgy