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Bayesian Inference for PCFGs via Markov Chain Monte Carlo

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Figure

Figure 1: A Bayes net representation of dependen-cies among the variables in a PCFG.
Figure 2: A Dirichlet prior αon a binomial parame-ter θ 1 . As α1 → 0 P (, θ1|  α  ) is increasingly concen-trated around 0.
Figure 3: Accuracy of morphological segmentationsof Sesotho verbs proposed by the Hastings algo-rithms as a function of Dirichlet prior parameter

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