Improving word alignment with language model based confidence scores

Authors:
Nguyen Bach;Qin Gao;Stephan Vogel
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Year:
2008

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Abstract

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.