We present results using support vector regression (SVR) with RBF (radial basis functions) kernel (Smola and Schölkopf, 2004) for sentence and document translation prediction tasks and Global Linear Models (GLM) (Collins, 2002) with dynamic learning (GLMd) <cite>(Biçici, 2013</cite>; Biçici and Way, 2014) for word-level translation performance prediction.