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» Fast and optimal decoding for machine translation
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EMNLP
2010
13 years 5 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
EMNLP
2008
13 years 8 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...
WCRE
2002
IEEE
14 years 8 days ago
Register Liveness Analysis for Optimizing Dynamic Binary Translation
Dynamic binary translators compile machine code from a source architecture to a target architecture at run time. Due to the hard time constraints of just-in-time compilation only ...
Mark Probst, Andreas Krall, Bernhard Scholz
ACL
2009
13 years 5 months ago
Asynchronous Binarization for Synchronous Grammars
Binarization of n-ary rules is critical for the efficiency of syntactic machine translation decoding. Because the target side of a rule will generally reorder the source side, it ...
John DeNero, Adam Pauls, Dan Klein
HIPEAC
2010
Springer
13 years 9 months ago
Computer Generation of Efficient Software Viterbi Decoders
This paper presents a program generator for fast software Viterbi decoders for arbitrary convolutional codes. The input to the generator is a specification of the code and a single...
Frédéric de Mesmay, Srinivas Chellap...