This suggests that the log probability scores from both parsers are internally consistent, but need to be recalibrated when the parses are combined.
we deliberately added features that incorporated linguistic notions such as head, governor and maximal projection, as the Berkeley parser does not explicitly condition on such information (in contrast to the Brown parser, which does).