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authorPatrick Simianer <simianer@cl.uni-heidelberg.de>2012-04-07 16:58:55 +0200
committerPatrick Simianer <simianer@cl.uni-heidelberg.de>2012-04-07 16:58:55 +0200
commit715245dc7042ac0dca4fea94031d7c6de8058033 (patch)
tree3a7ff0b88f2e113a08aef663d2487edec0b5f67f /gi/pf/pyp_tm.cc
parent89211ab30937672d84a54fac8fa435805499e38d (diff)
parent6001b81eba37985d2e7dea6e6ebb488b787789a6 (diff)
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'gi/pf/pyp_tm.cc')
-rw-r--r--gi/pf/pyp_tm.cc11
1 files changed, 4 insertions, 7 deletions
diff --git a/gi/pf/pyp_tm.cc b/gi/pf/pyp_tm.cc
index e21f0267..6bc8a5bf 100644
--- a/gi/pf/pyp_tm.cc
+++ b/gi/pf/pyp_tm.cc
@@ -91,26 +91,23 @@ struct ConditionalPYPWordModel {
};
PYPLexicalTranslation::PYPLexicalTranslation(const vector<vector<WordID> >& lets,
+ const unsigned vocab_size,
const unsigned num_letters) :
letters(lets),
- up0(new PYPWordModel(num_letters)),
- tmodel(new ConditionalPYPWordModel<PYPWordModel>(up0, new FreqBinner("10k.freq"))),
+ base(vocab_size, num_letters, 5),
+ tmodel(new ConditionalPYPWordModel<PoissonUniformWordModel>(&base, new FreqBinner("10k.freq"))),
kX(-TD::Convert("X")) {}
void PYPLexicalTranslation::Summary() const {
tmodel->Summary();
- up0->Summary();
}
prob_t PYPLexicalTranslation::Likelihood() const {
- prob_t p = up0->Likelihood();
- p *= tmodel->Likelihood();
- return p;
+ return tmodel->Likelihood() * base.Likelihood();
}
void PYPLexicalTranslation::ResampleHyperparameters(MT19937* rng) {
tmodel->ResampleHyperparameters(rng);
- up0->ResampleHyperparameters(rng);
}
unsigned PYPLexicalTranslation::UniqueConditioningContexts() const {