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118
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NAACL
2010
15 years 2 days ago
Unsupervised Syntactic Alignment with Inversion Transduction Grammars
Syntactic machine translation systems currently use word alignments to infer syntactic correspondences between the source and target languages. Instead, we propose an unsupervised...
Adam Pauls, Dan Klein, David Chiang, Kevin Knight
102
Voted
NAACL
2010
15 years 2 days ago
Word Alignment with Stochastic Bracketing Linear Inversion Transduction Grammar
The class of Linear Inversion Transduction Grammars (LITGs) is introduced, and used to induce a word alignment over a parallel corpus. We show that alignment via Stochastic Bracke...
Markus Saers, Joakim Nivre, Dekai Wu
136
Voted
ACL
2011
14 years 5 months ago
An Unsupervised Model for Joint Phrase Alignment and Extraction
We present an unsupervised model for joint phrase alignment and extraction using nonparametric Bayesian methods and inversion transduction grammars (ITGs). The key contribution is...
Graham Neubig, Taro Watanabe, Eiichiro Sumita, Shi...
88
Voted
ACL
2009
15 years 8 hour 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
2010
15 years 6 days 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