This paper describes the statistical machine translation systems submitted to the ACL-WMT 2008 shared translation task. Systems were submitted for two translation directions: English→Spanish and Spanish→English. Using sentence pair confidence scores estimated with source and target language models, improvements are observed on the News-Commentary test sets. Genre-dependent sentence pair confidence score and integration of sentence pair confidence score into phrase table are also investigated.
['Nguyen Bach', 'Qin Gao', 'Stephan Vogel']
Improving Word Alignment with Language Model Based Confidence Scores