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COLING
2010
13 years 2 months ago
Log-linear weight optimisation via Bayesian Adaptation in Statistical Machine Translation
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
Germán Sanchis-Trilles, Francisco Casacuber...
EMNLP
2010
13 years 6 months ago
Discriminative Sample Selection for Statistical Machine Translation
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
Sankaranarayanan Ananthakrishnan, Rohit Prasad, Da...
LREC
2008
114views Education» more  LREC 2008»
13 years 9 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
ACL
2009
13 years 5 months ago
Handling phrase reorderings for machine translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to capture phrase reorderings using a structure learning framework....
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
ACL
2009
13 years 5 months ago
Variational Decoding for Statistical Machine Translation
Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
Zhifei Li, Jason Eisner, Sanjeev Khudanpur