Training Tree Transducers

@article{Graehl2004TrainingTT,
  title={Training Tree Transducers},
  author={Jonathan Graehl and Kevin Knight},
  journal={Computational Linguistics},
  year={2004},
  volume={34},
  pages={391-427}
}
Many probabilistic models for natural language are now written in terms of hierarchical tree structure. Tree-based modeling still lacks many of the standard tools taken for granted in (finite-state) string-based modeling. The theory of tree transducer automata provides a possible framework to draw on, as it has been worked out in an extensive literature. We motivate the use of tree transducers for natural language and address the training problem for probabilistic tree-to-tree and tree-to… CONTINUE READING
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Trainable grammars for speech recognition

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Training tree transducers

  • Graehl, Jonathan, Kevin Knight.
  • HLT-NAACL 2004: Main Proceedings, pages 105–112…
  • 2004

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