With an F-score around 96% this corresponds roughly to a 7.5 % lower error rate in relative terms.
the question is therefore, whether a handcorrected gold corpus and machine-learning techniques could be used to improve performance by data-driven rule ordering or rule adaptation, applied to existing, manual grammars.