As we have mentioned in <cite>(Lu, 2014)</cite> , although the <cite>RHT</cite> model is able to capture unbounded long-distance dependencies, for certain languages such as German such longdistance features appeared to be detrimental to the performance of the system (<cite>Lu, 2014</cite>, Table  4 ). Here in this work, we only used simple unigram features (concatenation of a semantic unit and an individual word that appears directly below that unit in the joint representation), pattern features (concatenation of a semantic unit and the pattern below that unit) as well as transition features (concatenation of two semantic units that form a parent-child relationship) described in <cite>(Lu, 2014)</cite> .