From 925087356b853e2099c1b60d8b757d7aa02121a9 Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@cab.ark.cs.cmu.edu>
Date: Tue, 2 Oct 2012 00:19:43 -0400
Subject: cdec cleanup, remove bayesian stuff, parsing stuff

---
 gi/pf/pyp_tm.h | 36 ------------------------------------
 1 file changed, 36 deletions(-)
 delete mode 100644 gi/pf/pyp_tm.h

(limited to 'gi/pf/pyp_tm.h')

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
-- 
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