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86
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EMNLP
2007
15 years 1 months ago
2007
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
110
Voted
EMNLP
2007
15 years 1 months ago
2007
Syntactic reordering approaches are an effective method for handling word-order differences between source and target languages in statistical machine translation (SMT) systems. T...
107
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LREC
2008
15 years 1 months ago
2008
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 ...
109
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COLING
2008
15 years 1 months ago
2008
Many reordering approaches have been proposed for the statistical machine translation (SMT) system. However, the information about the type of source sentence is ignored in the pr...
84
Voted
NAACL
2004
15 years 1 months ago
2004
We present Minimum Bayes-Risk (MBR) decoding for statistical machine translation. This statistical approach aims to minimize expected loss of translation errors under loss functio...