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NAACL
2007
15 years 3 months ago
Are Very Large N-Best Lists Useful for SMT?
This paper describes an efficient method to extract large n-best lists from a word graph produced by a statistical machine translation system. The extraction is based on the k sh...
Sasa Hasan, Richard Zens, Hermann Ney
ACL
2006
15 years 3 months ago
Correcting ESL Errors Using Phrasal SMT Techniques
This paper presents a pilot study of the use of phrasal Statistical Machine Translation (SMT) techniques to identify and correct writing errors made by learners of English as a Se...
Chris Brockett, William B. Dolan, Michael Gamon
ANLP
2000
111views more  ANLP 2000»
15 years 3 months ago
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
John C. Henderson, Eric Brill
ML
2006
ACM
148views Machine Learning» more  ML 2006»
15 years 2 months ago
Melodic analysis with segment classes
This paper presents a representation for melodic segment classes and applies it to music data mining. Melody is modeled as a sequence of segments, each segment being a sequenceofno...
Darrell Conklin
NAACL
2010
15 years 3 days ago
Accurate Non-Hierarchical Phrase-Based Translation
A principal weakness of conventional (i.e., non-hierarchical) phrase-based statistical machine translation is that it can only exploit continuous phrases. In this paper, we extend...
Michel Galley, Christopher D. Manning