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Diffstat (limited to 'experimental/dual-model/MGIZA/src/transpair_model3.h')
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+/*
+
+EGYPT Toolkit for Statistical Machine Translation
+Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky.
+
+This program is free software; you can redistribute it and/or
+modify it under the terms of the GNU General Public License
+as published by the Free Software Foundation; either version 2
+of the License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with this program; if not, write to the Free Software
+Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
+USA.
+
+*/
+/*--
+transpair_model3: representation of a translation pair for model3 training
+allowing for fast access (esp. to t table).
+
+Franz Josef Och (30/07/99)
+--*/
+#ifndef transpair_model3_h_fjo_defined
+#define transpair_model3_h_fjo_defined
+#include "Array2.h"
+#include "defs.h"
+#include "Vector.h"
+#include "NTables.h"
+#include "ATables.h"
+#include "TTables.h"
+#include "alignment.h"
+#include <math.h>
+#include "transpair_model2.h"
+
+extern double factorial(int n);
+inline bool doubleEqual(const double a, const double b)
+{
+ if( a==b )
+ return 1.0;
+ bool bl=fabs(1.0-a/b)<1e-10;
+ if( bl )
+ return 1;
+ else
+ {
+ cerr << "DIFFERENT: " << a << " " << b << " " << a/b << " " << 1.0-a/b << endl;
+ return 0;
+ }
+}
+
+
+class transpair_model3 : public transpair_model2
+{
+ protected:
+ Array2<PROB, Vector<PROB> > d, n;
+ PROB p0, p1;
+ public:
+ typedef transpair_model3 simpler_transpair_model;
+ transpair_model3(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, tmodel<COUNT, PROB>&tTable,
+ amodel<PROB>&aTable, amodel<PROB>&dTable, nmodel<PROB>&nTable,
+ double _p1, double _p0, void*x=0);
+ const PROB&get_d(WordIndex i, WordIndex j)const
+ {return d(i, j);}
+ const PROB&get_a(WordIndex i, WordIndex j)const
+ {return a(i, j);}
+ const PROB&get_fertility(WordIndex i, WordIndex f)const
+ {massert(i>0);return (f>=MAX_FERTILITY)?n(i, MAX_FERTILITY):n(i, f);}
+ int modelnr()const{return 3;}
+ LogProb scoreOfAlignmentForChange(const alignment&)const
+ {return -1.0; }
+ LogProb scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j, double thisValue=-1.0,bool withDistortions=1)const;
+ LogProb scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2, double thisValue=-1.0,bool withDistortions=1)const ;
+ LogProb _scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue=-1.0)const;
+ LogProb _scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue=-1.0)const;
+ friend ostream&operator<<(ostream&out, const transpair_model3&m);
+ LogProb prob_of_target_and_alignment_given_source(const alignment&al,bool verb=0)const;
+ bool isSubOptimal()const{return 1;}
+ void computeScores(const alignment&al,vector<double>&d)const;
+};
+#endif