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 NewsCommentary test sets. Genre-dependent sentence pair confidence score and integration of sentence pair confidence score into phrase table are also investigated.
REF used the sentence-pair confidence scores estimated with source and target language models to weight phrase translation pairs.
Improving Word Alignment with Language Model Based Confidence Scores
Proceedings of the Third Workshop on Statistical Machine Translation
Computer Science