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authorChris Dyer <cdyer@cs.cmu.edu>2012-03-15 22:47:04 -0400
committerChris Dyer <cdyer@cs.cmu.edu>2012-03-15 22:47:04 -0400
commit0b598b997a7c1d2d9dc255cc2ff1bf9bb2c425a1 (patch)
treeceaafcb454dd9c6671ad1797330b089006c6a0a0 /gi/pf/hpyp_tm.h
parentdfbc278c1057555fda9312291c8024049e00b7d8 (diff)
bayes bayes bayes
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+#ifndef HPYP_LEX_TRANS
+#define HPYP_LEX_TRANS
+
+#include <vector>
+#include "wordid.h"
+#include "prob.h"
+#include "sampler.h"
+#include "freqdict.h"
+#include "poisson_uniform_word_model.h"
+
+struct FreqBinner;
+template <class B> struct PYPWordModel;
+template <typename T, class B> struct ConditionalPYPWordModel;
+
+struct HPYPLexicalTranslation {
+ explicit HPYPLexicalTranslation(const std::vector<std::vector<WordID> >& lets,
+ const unsigned vocab_size,
+ const unsigned num_letters);
+
+ prob_t Likelihood() const;
+
+ void ResampleHyperparameters(MT19937* rng);
+ prob_t Prob(WordID src, WordID trg) const; // return p(trg | src)
+ void Summary() const;
+ void Increment(WordID src, WordID trg, MT19937* rng);
+ void Decrement(WordID src, WordID trg, MT19937* rng);
+ unsigned UniqueConditioningContexts() const;
+
+ private:
+ const std::vector<std::vector<WordID> >& letters; // spelling dictionary
+ PoissonUniformWordModel base; // "generator" of English types
+ PYPWordModel<PoissonUniformWordModel>* up0; // model English lexicon
+ ConditionalPYPWordModel<PYPWordModel<PoissonUniformWordModel>, FreqBinner>* tmodel; // translation distributions
+ // (model English word | French word)
+ const WordID kX;
+};
+
+#endif