Discriminative Word Alignment with Syntactic Features

This report introduces a study on syntactic features used in a discriminative word alignment model. The features are implemented on a state-of-the-art discriminative word alignment system. The syntactic features are extracted from parse trees. Three types of syntactic features are experimented in this work: one global tree path feature and two first order tree features. Experimental results show that the syntactic features are helpful for improving the word alignment accuracy on Chinese-English parallel sentences.