Extracting nested collocations
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A hierarchical phrase-based model for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Discarding monotone composed rule for hierarchical phrase-based statistical machine translation
Proceedings of the 3rd International Universal Communication Symposium
Better filtration and augmentation for hierarchical phrase-based translation rules
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
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This paper presents an effective approach to discard most entries of the rule table for statistical machine translation. The rule table is filtered by monolingual key phrases, which are extracted from source text using a technique based on term extraction. Experiments show that 78% of the rule table is reduced without worsening translation performance. In most cases, our approach results in measurable improvements in BLEU score.