blob: 4bb05659fe9d909750123ab6eacadc5b82e6e6ec [file] [log] [blame]
/*
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.
*/
#ifndef _ntables_h
#define _ntables_h 1
#include "Array2.h"
#include "Vector.h"
#include <cassert>
#include "defs.h"
#include "vocab.h"
#include "myassert.h"
#include "Globals.h"
extern double NTablesFactorGraphemes,NTablesFactorGeneral;
template <class VALTYPE>
class nmodel
{
private:
Array2<VALTYPE, Vector<VALTYPE> > ntab;
public:
nmodel(int maxw, int maxn)
: ntab(maxw, maxn, 0.0)
{}
VALTYPE getValue(int w, unsigned int n)const
{
massert(w!=0);
if(n>=ntab.getLen2())
return 0.0;
else
return max(ntab(w, n), VALTYPE(PROB_SMOOTH));
}
VALTYPE&getRef(int w, int n)
{
//massert(w!=0);
return ntab(w, n);
}
template<class COUNT>
void normalize(nmodel<COUNT>&write,const Vector<WordEntry>* _evlist)const
{
int h1=ntab.getLen1(), h2=ntab.getLen2();
int nParams=0;
if( _evlist&&(NTablesFactorGraphemes||NTablesFactorGeneral) )
{
size_t maxlen=0;
const Vector<WordEntry>&evlist=*_evlist;
for(unsigned int i=1;i<evlist.size();i++)
maxlen=max(maxlen,evlist[i].word.length());
Array2<COUNT,Vector<COUNT> > counts(maxlen+1,MAX_FERTILITY+1,0.0);
Vector<COUNT> nprob_general(MAX_FERTILITY+1,0.0);
for(unsigned int i=1;i<min((unsigned int)h1,(unsigned int)evlist.size());i++)
{
int l=evlist[i].word.length();
for(int k=0;k<h2;k++)
{
counts(l,k)+=getValue(i,k);
nprob_general[k]+=getValue(i,k);
}
}
COUNT sum2=0;
for(unsigned int i=1;i<maxlen+1;i++)
{
COUNT sum=0.0;
for(int k=0;k<h2;k++)
sum+=counts(i,k);
sum2+=sum;
if( sum )
{
double average=0.0;
//cerr << "l: " << i << " " << sum << " ";
for(int k=0;k<h2;k++)
{
counts(i,k)/=sum;
//cerr << counts(i,k) << ' ';
average+=k*counts(i,k);
}
//cerr << "avg: " << average << endl;
//cerr << '\n';
}
}
for(unsigned int k=0;k<nprob_general.size();k++)
nprob_general[k]/=sum2;
for(int i=1;i<h1;i++)
{
int l=-1;
if((unsigned int)i<evlist.size())
l=evlist[i].word.length();
COUNT sum=0.0;
for(int k=0;k<h2;k++)
sum+=getValue(i, k)+((l==-1)?0.0:(counts(l,k)*NTablesFactorGraphemes)) + NTablesFactorGeneral*nprob_general[k];
assert(sum);
for(int k=0;k<h2;k++)
{
write.getRef(i, k)=(getValue(i, k)+((l==-1)?0.0:(counts(l,k)*NTablesFactorGraphemes)))/sum + NTablesFactorGeneral*nprob_general[k];
nParams++;
}
}
}
else
for(int i=1;i<h1;i++)
{
COUNT sum=0.0;
for(int k=0;k<h2;k++)
sum+=getValue(i, k);
assert(sum);
for(int k=0;k<h2;k++)
{
write.getRef(i, k)=getValue(i, k)/sum;
nParams++;
}
}
cerr << "NTable contains " << nParams << " parameter.\n";
}
void clear()
{
int h1=ntab.getLen1(), h2=ntab.getLen2();
for(int i=0;i<h1;i++)for(int k=0;k<h2;k++)
ntab(i, k)=0;
}
void printNTable(int noEW, const char* filename, const Vector<WordEntry>& evlist, bool) const;
void readNTable(const char *filename);
};
#endif