Thus, to adapt via linear jackknifing, we must i) approximate the expected input data tagging accuracy, while at the same time ii) accounting for the fact that the accuracy associated with any p depends on treebank size as well.
given two treebanks D 1 < D 2 , we would typically need p 1 > p 2 with the goal of matching the same test-set accuracy.