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ACL
2009
14 years 7 months ago
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
Jun Sun, Min Zhang, Chew Lim Tan
ACL
2006
14 years 11 months ago
Tree-to-String Alignment Template for Statistical Machine Translation
We present a novel translation model based on tree-to-string alignment template (TAT) which describes the alignment between a source parse tree and a target string. A TAT is capab...
Yang Liu, Qun Liu, Shouxun Lin
68
Voted
MT
2006
116views more  MT 2006»
14 years 9 months ago
Dependency treelet translation: the convergence of statistical and example-based machine-translation?
We describe a novel approach to machine translation that combines the strengths of the two leading corpus-based approaches: Phrasal SMT and EBMT. We use a syntactically informed d...
Christopher Quirk, Arul Menezes
EMNLP
2008
14 years 11 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
86
Voted
LREC
2008
114views Education» more  LREC 2008»
14 years 11 months ago
Improving Statistical Machine Translation Efficiency by Triangulation
In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
Yu Chen, Andreas Eisele, Martin Kay