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BMCBI
2008
164views more  BMCBI 2008»
13 years 8 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke
ACL
2009
13 years 6 months ago
Bridging Morpho-Syntactic Gap between Source and Target Sentences for English-Korean Statistical Machine Translation
Often, Statistical Machine Translation (SMT) between English and Korean suffers from null alignment. Previous studies have attempted to resolve this problem by removing unnecessar...
Gum-Won Hong, Seung-Wook Lee, Hae-Chang Rim
LREC
2008
155views Education» more  LREC 2008»
13 years 10 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
COLING
2010
13 years 3 months ago
Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
We employ Maximum Entropy model to conduct sub-tree alignment between bilingual phrasal structure trees. Various lexical and structural knowledge is explored to measure the syntac...
Jun Sun, Min Zhang, Chew Lim Tan
ACL
2009
13 years 6 months ago
Better Word Alignments with Supervised ITG Models
This work investigates supervised word alignment methods that exploit inversion transduction grammar (ITG) constraints. We consider maximum margin and conditional likelihood objec...
Aria Haghighi, John Blitzer, John DeNero, Dan Klei...