A Bayesian Model for Learning SCFGs with Discontiguous Rules

  title={A Bayesian Model for Learning SCFGs with Discontiguous Rules},
  author={Abby D. Levenberg and Chris Dyer and Phil Blunsom},
We describe a nonparametric model and corresponding inference algorithm for learning Synchronous Context Free Grammar derivations for parallel text. The model employs a Pitman-Yor Process prior which uses a novel base distribution over synchronous grammar rules. Through both synthetic grammar induction and statistical machine translation experiments, we show that our model learns complex translational correspondences— including discontiguous, many-to-many alignments—and produces competitive… CONTINUE READING
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