The conditional distribution over all dependency structures y ∈ T (x) is: normalized by the partition function Z(x; θ), which would require a summation over the exponentially large number of all possible dependency structures in T (x).
the MTT allows directly computing Z(x; θ) as det(L(θ)), in which L(θ) is the Laplacian matrix of the graph.