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NAACL
2007
13 years 11 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
13 years 11 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»
13 years 11 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»
13 years 10 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
13 years 8 months 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