We describe a submission to the WMT12 Quality Estimation task, including an extensive
Machine Learning experimentation. Data were augmented with features from linguistic
analysis and statistical features from the SMT search graph. Several Feature Selection
algorithms were employed. The Quality Estimation problem was addressed both as a
regression task and as a discretised classification task, but the latter did not generalise well
on the unseen testset. The most successful regression methods had an RMSE of 0.86 and …

Many applications within natural language processing involve performing text-to-text
transformations, ie, given a text in natural language as input, systems are required to
produce a version of this text (eg, a translation), also in natural language, as output.
Automatically evaluating the output of such systems is an important component in
developing text-to-text applications. Two approaches have been proposed for this
problem:(i) to compare the system outputs against one or more reference outputs using …