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nlp:statistical_machine_translation [2021/04/20 08:27] – [Overviews] jmflanignlp:statistical_machine_translation [2023/06/15 07:36] (current) – external edit 127.0.0.1
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     * IBM's complete system: [[https://patentimages.storage.googleapis.com/8c/d3/08/74a381b7127df4/US5477451.pdf|pdf]] [[https://patents.google.com/patent/US5477451A/en|patent]]     * IBM's complete system: [[https://patentimages.storage.googleapis.com/8c/d3/08/74a381b7127df4/US5477451.pdf|pdf]] [[https://patents.google.com/patent/US5477451A/en|patent]]
   * [[https://www.aclweb.org/anthology/C96-2141.pdf|Vogel et al 1996 - HMM-Based Word Alignment in Statistical Translation ]]   * [[https://www.aclweb.org/anthology/C96-2141.pdf|Vogel et al 1996 - HMM-Based Word Alignment in Statistical Translation ]]
-  * ReWrite decoder: [[https://www.aclweb.org/anthology/P01-1030.pdf|Germann et al 2001 - Fast Decoding and Optimal Decoding for Machine Translation]]+  * [[https://dl.acm.org/doi/pdf/10.3115/976909.979664|Wang & Waibel 1997 - Decoding Algorithm in Statistical Machine Translation]] 
 +  * ReWrite decoder: [[https://www.aclweb.org/anthology/P01-1030.pdf|Germann et al 2001 - Fast Decoding and Optimal Decoding for Machine Translation]] A* search, hillclimbing, and ILP for decoding for word-based models
   * [[https://www.aclweb.org/anthology/N03-1019.pdf|Kumar & Byrne 2003 - A Weighted Finite State Transducer Implementation of the Alignment Template Model for Statistical Machine Translation]]   * [[https://www.aclweb.org/anthology/N03-1019.pdf|Kumar & Byrne 2003 - A Weighted Finite State Transducer Implementation of the Alignment Template Model for Statistical Machine Translation]]
 +  * [[https://www.aclweb.org/anthology/N09-2002.pdf|Riedel & Clark 2009 - Revisiting Optimal Decoding for Machine Translation IBM Model 4]] Uses an ILP for IBM model 4
   * Concavity of IBM model 1: [[https://www.aclweb.org/anthology/N12-1069.pdf|Gimpel & Smith 2012]]   * Concavity of IBM model 1: [[https://www.aclweb.org/anthology/N12-1069.pdf|Gimpel & Smith 2012]]
   * [[https://www.aclweb.org/anthology/N13-1073.pdf|Dyer et al 2013 - A Simple, Fast, and Effective Reparameterization of IBM Model 2]]   * [[https://www.aclweb.org/anthology/N13-1073.pdf|Dyer et al 2013 - A Simple, Fast, and Effective Reparameterization of IBM Model 2]]
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 ===== Syntax-Based Methods ===== ===== Syntax-Based Methods =====
 +  * [[https://www.aclweb.org/anthology/P04-1083.pdf|Melamed 2004 - Statistical Machine Translation by Parsing]] Introduces SCFGs for SMT
   * Hiero   * Hiero
     * [[https://www.aclweb.org/anthology/P05-1033.pdf|Chiang 2005 - A Hierarchical Phrase-Based Model for Statistical Machine Translation]]     * [[https://www.aclweb.org/anthology/P05-1033.pdf|Chiang 2005 - A Hierarchical Phrase-Based Model for Statistical Machine Translation]]
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 ===== Training ===== ===== Training =====
-  * [[https://www.aclweb.org/anthology/P03-1021.pdf|Och 2003 - Minimum Error Rate Training in Statistical Machine Translation]] The standard method for training SMT systems since 2003 +  * MERT: [[https://www.aclweb.org/anthology/P03-1021.pdf|Och 2003 - Minimum Error Rate Training in Statistical Machine Translation]] The standard method for training SMT systems since 2003 
-  * [[https://storage.googleapis.com/pub-tools-public-publication-data/pdf/35496.pdf|Kumar et al 2008 - Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices]] Hypergraph MERT+  * Hypergraph MERT: [[https://storage.googleapis.com/pub-tools-public-publication-data/pdf/35496.pdf|Kumar et al 2008 - Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices]]
  
 ===== Evaluation ===== ===== Evaluation =====
nlp/statistical_machine_translation.1618907232.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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