Paper: The Feature Subspace Method for SMT System Combination

ACL ID D09-1114
Title The Feature Subspace Method for SMT System Combination
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

Recently system combination has been shown to be an effective way to improve translation quality over single machine translation sys- tems. In this paper, we present a simple and ef- fective method to systematically derive an en- semble of SMT systems from one baseline li- near SMT model for use in system combina- tion. Each system in the resulting ensemble is based on a feature set derived from the fea- tures of the baseline model (typically a subset of it). We will discuss the principles to deter- mine the feature sets for derived systems, and present in detail the system combination mod- el used in our work. Evaluation is performed on the data sets for NIST 2004 and NIST 2005 Chinese-to-English machine translation tasks. Experimental results show that our method can bring sign...