A static linear interpolation of predictions using the two approaches led to only minimal reductions of prediction error, likely because predictions from the poorer performing grammar-based classifier were always given the same weight.
with the confidence measures, predictions from the grammar-based classifier could be given more weight when the confidence measure was high, and less weight when the measure was low and the predictions were likely to be inaccurate.