In practice, the instances of this class of error are all cases where the computer can't detect the error for certain.
while it might make certain things easier and probably will improve the results of most algorithms, those improved results will not be valid for those same algorithms trained on other, non-perfect data; the vast majority of corpora will still be noisy.