Paper: Translation with Source Constituency and Dependency Trees

ACL ID D13-1108
Title Translation with Source Constituency and Dependency Trees
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013

We present a novel translation model, which simultaneously exploits the constituency and dependency trees on the source side, to com- bine the advantages of two types of trees. We take head-dependents relations of dependency trees as backbone and incorporate phrasal n- odes of constituency trees as the source side of our translation rules, and the target side as strings. Our rules hold the property of long distance reorderings and the compatibility with phrases. Large-scale experimental result- s show that our model achieves significantly improvements over the constituency-to-string (+2.45 BLEU on average) and dependency- to-string (+0.91 BLEU on average) model- s, which only employ single type of trees, and significantly outperforms the state-of-the- art hierarchical phrase-based model (+...