Our aim is to go beyond this limitation of the TSP model and use a richer set of features instead of using pairwise features only.
we are interested in features that allow us to examine triples of words/POS tags in the candidate reordering per-mutation (this is akin to going from bigram to trigram language models), and also structural features that allow us to examine the properties of the segmentation induced by the candidate permutation.