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» Fast and optimal decoding for machine translation
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EMNLP
2010
14 years 7 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
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...
WCRE
2002
IEEE
15 years 2 months 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
14 years 7 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
14 years 11 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...