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» Syntactic Re-Alignment Models for Machine Translation
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ACL
2012
11 years 7 months ago
A Ranking-based Approach to Word Reordering for Statistical Machine Translation
Long distance word reordering is a major challenge in statistical machine translation research. Previous work has shown using source syntactic trees is an effective way to tackle ...
Nan Yang, Mu Li, Dongdong Zhang, Nenghai Yu
ACL
2007
13 years 6 months ago
A Discriminative Syntactic Word Order Model for Machine Translation
We present a global discriminative statistical word order model for machine translation. Our model combines syntactic movement and surface movement information, and is discriminat...
Pi-Chuan Chang, Kristina Toutanova
EMNLP
2008
13 years 6 months ago
Coarse-to-Fine Syntactic Machine Translation using Language Projections
The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We propose a multipass,...
Slav Petrov, Aria Haghighi, Dan Klein
MT
2010
134views more  MT 2010»
13 years 3 months ago
Improve syntax-based translation using deep syntactic structures
This paper introduces deep syntactic structures to syntax-based Statistical Machine Translation (SMT). We use a Head-driven Phrase Structure Grammar (HPSG) parser to obtain the de...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
ACL
2007
13 years 6 months ago
Tailoring Word Alignments to Syntactic Machine Translation
Extracting tree transducer rules for syntactic MT systems can be hindered by word alignment errors that violate syntactic correspondences. We propose a novel model for unsupervise...
John DeNero, Dan Klein