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Syntax Decoding

An introduction to decoding with syntax-based models is in Chapter 11 of the book.

Recent research on the topic is listed in the SMT Research Survey Wiki.

Some notable recent papers:

  • DeNero, John and Bansal, Mohit and Pauls, Adam and Klein, Dan (2009): Efficient Parsing for Transducer Grammars, Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pdf
  • Petrov, Slav and Haghighi, Aria and Klein, Dan (2008): Coarse-to-Fine Syntactic Machine Translation using Language Projections, EMNLP, pdf
  • Peitz, Stephan and Mauser, Arne and Wuebker, Joern and Ney, Hermann (2012): Forced Derivations for Hierarchical Machine Translation, COLING, pdf
  • Gesmundo, Andrea and Satta, Giorgio and Henderson, James (2012): Heuristic Cube Pruning in Linear Time, ACL, pdf
  • Huck, Matthias and Vilar, David and Freitag, Markus and Ney, Hermann (2013): A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation, SSST, pdf
  • Kenneth Heafield and Hieu Hoang and Philipp Koehn and Tetsuo Kiso and Marcello Federico (2011): Left language model state for syntactic machine translation, IWSLT, pdf
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Page last modified on May 19, 2014, at 03:00 PM