Paper: Lattice-based System Combination for Statistical Machine Translation

ACL ID D09-1115
Title Lattice-based System Combination for Statistical Machine Translation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

Current system combination methods usu- ally use confusion networks to find consensus translations among different systems. Requir- ing one-to-one mappings between the words in candidate translations, confusion networks have difficulty in handling more general situa- tions in which several words are connected to another several words. Instead, we propose a lattice-based system combination model that allows for such phrase alignments and uses lattices to encode all candidate translations. Experiments show that our approach achieves significant improvements over the state-of- the-art baseline system on Chinese-to-English translation test sets.