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» Discriminative Pruning for Discriminative ITG Alignment
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ACL
2010
13 years 2 months ago
Discriminative Pruning for Discriminative ITG Alignment
While Inversion Transduction Grammar (ITG) has regained more and more attention in recent years, it still suffers from the major obstacle of speed. We propose a discriminative ITG...
Shujie Liu, Chi-Ho Li, Ming Zhou
COLING
2010
12 years 12 months ago
Improved Discriminative ITG Alignment using Hierarchical Phrase Pairs and Semi-supervised Training
While ITG has many desirable properties for word alignment, it still suffers from the limitation of one-to-one matching. While existing approaches relax this limitation using phra...
Shujie Liu, Chi-Ho Li, Ming Zhou
ACL
2009
13 years 2 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...
ACL
2006
13 years 6 months ago
Soft Syntactic Constraints for Word Alignment through Discriminative Training
Word alignment methods can gain valuable guidance by ensuring that their alignments maintain cohesion with respect to the phrases specified by a monolingual dependency tree. Howev...
Colin Cherry, Dekang Lin
NAACL
2010
13 years 2 months ago
Joint Parsing and Alignment with Weakly Synchronized Grammars
Syntactic machine translation systems extract rules from bilingual, word-aligned, syntactically parsed text, but current systems for parsing and word alignment are at best cascade...
David Burkett, John Blitzer, Dan Klein