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Statistical machine translation

Known as: Statistically-based translation, Statistically based translation, SMT 
Statistical machine translation (SMT) is a machine translation paradigm where translations are generated on the basis of statistical models whose… Expand
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Papers overview

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Highly Cited
2015
Highly Cited
2015
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine… Expand
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Highly Cited
2014
Highly Cited
2014
In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks… Expand
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Highly Cited
2007
Highly Cited
2007
We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for… Expand
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Highly Cited
2005
Highly Cited
2005
We collected a corpus of parallel text in 11 languages from the proceedings of the European Parliament, which are published on… Expand
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Highly Cited
2004
Highly Cited
2004
We describe Pharaoh, a freely available decoder for phrase-based statistical machine translation models. The decoder is the… Expand
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Highly Cited
2004
Highly Cited
2004
  • F. Och, H. Ney
  • Computational Linguistics
  • 2004
  • Corpus ID: 1272090
A phrase-based statistical machine translation approach the alignment template approach is described. This translation approach… Expand
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Highly Cited
2003
Highly Cited
2003
  • F. Och
  • ACL
  • 2003
  • Corpus ID: 5474833
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A… Expand
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Highly Cited
2002
Highly Cited
2002
We present a framework for statistical machine translation of natural languages based on direct maximum entropy models, which… Expand
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Highly Cited
1999
Highly Cited
1999
In this paper, we describe improved alignment models for statistical machine translation. The statistical translation approach… Expand
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Highly Cited
1993
Highly Cited
1993
We describe a series of five statistical models of the translation process and give algorithms for estimating the parameters of… Expand
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