Paper: Flexible and Efficient Hypergraph Interactions for Joint Hierarchical and Forest-to-String Decoding

ACL ID D13-1052
Title Flexible and Efficient Hypergraph Interactions for Joint Hierarchical and Forest-to-String Decoding
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Machine translation benefits from system combination. We propose flexible interaction of hypergraphs as a novel technique combin- ing different translation models within one de- coder. We introduce features controlling the interactions between the two systems and ex- plore three interaction schemes of hiero and forest-to-string models?specification, gener- alization, and interchange. The experiments are carried out on large training data with strong baselines utilizing rich sets of dense and sparse features. All three schemes signif- icantly improve results of any single system on four testsets. We find that specification?a more constrained scheme that almost entirely uses forest-to-string rules, but optionally uses hiero rules for shorter spans?comes out as the strongest, yielding improve...