This makes automation of this second step less critical, as long as the error detection step has a high precision (which is relevant since the repair step also needs to deal with false positives from detection).
in the future, we intend to experiment with defining variation contexts based on other, more general properties than the words themselves in order to increase recall, i.e., the number of errors detected.