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authorChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
committerChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
commite26434979adc33bd949566ba7bf02dff64e80a3e (patch)
treed1c72495e3af6301bd28e7e66c42de0c7a944d1f /gi/pf/pyp_tm.h
parent0870d4a1f5e14cc7daf553b180d599f09f6614a2 (diff)
cdec cleanup, remove bayesian stuff, parsing stuff
Diffstat (limited to 'gi/pf/pyp_tm.h')
-rw-r--r--gi/pf/pyp_tm.h36
1 files changed, 0 insertions, 36 deletions
diff --git a/gi/pf/pyp_tm.h b/gi/pf/pyp_tm.h
deleted file mode 100644
index 2b076a25..00000000
--- a/gi/pf/pyp_tm.h
+++ /dev/null
@@ -1,36 +0,0 @@
-#ifndef PYP_LEX_TRANS
-#define PYP_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 <typename T, class B> struct ConditionalPYPWordModel;
-
-struct PYPLexicalTranslation {
- explicit PYPLexicalTranslation(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
- ConditionalPYPWordModel<PoissonUniformWordModel, FreqBinner>* tmodel; // translation distributions
- // (model English word | French word)
- const WordID kX;
-};
-
-#endif