(2010), we model these steps using a conditional loglinear model, p θ (e | C) To increase log p θ (y k | x k ), we must raise the probability of the edits e that were used to transduce x k to y k , relative to competing edits from the same contexts C. This means raising θ • f (C, e) and/or lowering Z C .
log p θ (y k | x k ) depends only on the probabilities of edit arcs in T that appear in x k • T • y k , and the competing edit arcs from the same edit states q C .