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Diffstat (limited to 'GIZA++-v2/hmm.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.
+
+*/
+#ifndef _hmm_h
+#define _hmm_h 1
+
+#include <assert.h>
+
+#include <iostream>
+#include <algorithm>
+#include <functional>
+#include <map>
+#include <set>
+#include "Vector.h"
+#include <utility>
+
+#if __GNUC__>2
+#include <ext/hash_map>
+using __gnu_cxx::hash_map;
+#else
+#include <hash_map>
+#endif
+#include <fstream.h>
+#include <math.h>
+#include <time.h>
+
+#include "TTables.h"
+#include "ATables.h"
+#include "getSentence.h"
+#include "defs.h"
+#include "model2.h"
+#include "Perplexity.h"
+#include "vocab.h"
+#include "WordClasses.h"
+#include "HMMTables.h"
+#include "ForwardBackward.h"
+
+class hmm : public model2
+{
+ private:
+ WordClasses ewordclasses;
+ WordClasses fwordclasses;
+ HMMTables<int,WordClasses> counts,probs;
+ public:
+ template<class MAPPER>
+ void makeWordClasses(const MAPPER&m1,const MAPPER&m2,string efile,string ffile)
+ {
+ ifstream estrm(efile.c_str()),fstrm(ffile.c_str());
+ if( !estrm )
+ {
+ cerr << "ERROR: can not read " << efile << endl;
+ }
+ else
+ ewordclasses.read(estrm,m1);
+ if( !fstrm )
+ cerr << "ERROR: can not read " << ffile << endl;
+ else
+ fwordclasses.read(fstrm,m2);
+ }
+ hmm(model2&m2);
+ void initialize_table_uniformly(sentenceHandler&);
+ int em_with_tricks(int);
+ void load_table(const char* aname);
+ void em_loop(Perplexity& perp, sentenceHandler& sHandler1, bool dump_files,
+ const char* alignfile, Perplexity&, bool test,bool doInit,int iter);
+ HMMNetwork *makeHMMNetwork(const Vector<WordIndex>& es,const Vector<WordIndex>&fs,bool doInit)const;
+ friend class model3;
+};
+
+#endif