Generating Non-Projective Word Order in Statistical Linearization
We propose a technique to generate non-projective word orders in an efficient statistical linearization system. Our approach predicts liftings of edges in an unordered syntactic tree by means of a classifier, and uses a projective algorithm for tree linearization. We obtain statistically significant improvements on six typologically different languages: English, German, Dutch, Danish, Hungarian, a