FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task

In this paper we present the approach and system setup of the joint participation of Fondazione Bruno Kessler and University of Edinburgh in the WMT 2013 Quality Estimation shared-task. Our submissions were focused on tasks whose aim was predicting sentence-level Human-mediated Translation Edit Rate and sentence-level post-editing time (Task 1.1 and 1.3, respectively). We designed features that are built on resources such as automatic word alignment, n-best candidate translation lists, back-translations and word posterior probabilities. Our models consistently overcome the baselines for both tasks and performed particularly well for Task 1.3, ranking first among seven participants.