Our implementation of the deterministic dependency parser using maximum entropy models as the underlying classifiers achieves 87.8% labeled attachment score and 88.8% unlabeled attachment score on standard Penn Treebank evaluation.
in the rest of the paper, we first introduce our dependency parser based reordering approach based on the analysis of the key issues when translating SVO languages to SOV languages.