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» Learning to Align: A Statistical Approach
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RECOMB
2009
Springer
15 years 10 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
77
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EMNLP
2009
14 years 7 months ago
Bayesian Learning of Phrasal Tree-to-String Templates
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
Ding Liu, Daniel Gildea
ACL
2008
14 years 11 months ago
Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings l...
Yuval Marton, Philip Resnik
ISMIR
2004
Springer
118views Music» more  ISMIR 2004»
15 years 2 months ago
Learning to Align Polyphonic Music
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
IJCNLP
2005
Springer
15 years 3 months ago
Improving Statistical Word Alignment with Ensemble Methods
Abstract. This paper proposes an approach to improve statistical word alignment with ensemble methods. Two ensemble methods are investigated: bagging and cross-validation committee...
Hua Wu, Haifeng Wang