blob: ec3c701844b8a2e56dfd02934ac29655635cafb6 [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.
*/
#include "model3.h"
#include "collCounts.h"
#include "Globals.h"
#include "utility.h"
#include "transpair_model5.h"
#include "transpair_modelhmm.h"
#include "Parameter.h"
#define TRICKY_IBM3_TRAINING
GLOBAL_PARAMETER(int,M4_Dependencies,"depm4","d_{=1}: &1:l, &2:m, &4:F, &8:E, d_{>1}&16:l, &32:m, &64:F, &128:E",PARLEV_MODELS,76)
;
GLOBAL_PARAMETER(int,M5_Dependencies,"depm5","d_{=1}: &1:l, &2:m, &4:F, &8:E, d_{>1}&16:l, &32:m, &64:F, &128:E",PARLEV_MODELS,68)
;
GLOBAL_PARAMETER4(int,Model3_Dump_Freq,"MODEL 345 DUMP FREQUENCY","MODEL 3 DUMP FREQUENCY","t3","t345","dump frequency of Model 3/4/5",PARLEV_OUTPUT,0)
;
/*model3::model3(model2& m2) :
model2(m2),dTable( amodel<PROB>(true)), dCountTable(true),
nTable( nmodel<PROB>(m2.getNoEnglishWords()+1, MAX_FERTILITY)),
nCountTable(m2.getNoEnglishWords()+1, MAX_FERTILITY),h(0)
{}*/
extern int Transfer_Dump_Freq;
model3::model3(model2& m2, amodel<PROB>& d, nmodel<PROB>& n) :
model2(m2), dTable(d), dCountTable(true), nTable(n),//m2.getNoEnglishWords()+1, MAX_FERTILITY),
nCountTable(m2.getNoEnglishWords()+1, MAX_FERTILITY), h(0) {
ewordclasses = fwordclasses = NULL;
}
model3::model3(model3& m3, amodel<PROB>& d, nmodel<PROB>& n, amodel<COUNT>& a) :
model2(*(&m3), m3.aTable, a), dTable(d), dCountTable(true), nTable(n),//m2.getNoEnglishWords()+1, MAX_FERTILITY),
nCountTable(m3.getNoEnglishWords()+1, MAX_FERTILITY), h(0) {
ewordclasses = fwordclasses = NULL;
}
void model3::load_tables(const char *nfile, const char *dfile,
const char *p0file) {
cout << "Model3: loading n, d, p0 tables \n";
nTable.readNTable(nfile);
dTable.readTable(dfile);
ifstream inf(p0file);
if ( !inf)
cerr << "Can not open: " << p0file << '\n';
else {
cout << "Reading p0 value from " << p0file << "\n";
inf >> p0;
inf.close();
p1 = 1 - p0;
}
cout << "p0 is: " << p0 << " p1:" << p1 << '\n';
}
model3::~model3() {
dTable.clear();
dCountTable.clear();
nTable.clear();
nCountTable.clear();
if(h==NULL && ewordclasses!=NULL && fwordclasses!=NULL){
delete ewordclasses;
delete fwordclasses;
}
}
void model3::em(int noIterations, sentenceHandler& sHandler1) {
LogProb all_prob, aprob, temp;
WordIndex i, j, l, m;
time_t it_st, st, it_fn, fn;
string tfile, dfile, nfile, p0file, afile, number;
st = time(NULL) ;
cout << "\n" << "Starting Model3: Training";
// sentenceHandler sHandler1(efFilename.c_str());
sHandler1.rewind();
for (int it=1; it <= noIterations; it++) {
it_st = time(NULL) ;
cout << "\n" << "Model3: Iteration " << it;
// set up the names of the files where the tables will be printed
int n = it;
number = "";
do {
//mj changed next line
number.insert((size_t) 0, 1, (char)(n % 10 + '0'));
} while ((n /= 10) > 0);
tfile = Prefix + ".t3." + number;
afile = Prefix + ".a3." + number;
nfile = Prefix + ".n3." + number;
dfile = Prefix + ".d3." + number;
p0file = Prefix + ".p0_3." + number;
// tCountTable.clear();
dCountTable.clear();
nCountTable.clear();
p0_count = 0.0;
p1_count = 0.0;
all_prob = 0;
sentPair sent;
while (sHandler1.getNextSentence(sent)) {
Vector<WordIndex>& es = sent.eSent;
Vector<WordIndex>& fs = sent.fSent;
const float count = sent.getCount();
if ((sent.sentenceNo % 1000) == 0)
cout <<sent.sentenceNo << '\n';
Vector<WordIndex> A(fs.size(),/*-1*/0);
Vector<WordIndex> Fert(es.size(),0);
LogProb lcount=(LogProb)count;
l = es.size()-1;
m = fs.size()-1;
WordIndex x, y;
all_prob = prob_of_target_given_source(tTable, fs, es);
if (all_prob == 0)
cout << "\n" <<"all_prob = 0";
for (x = 0; x < pow(l+1.0, double(m)) ; x++) { // For all possible alignmets A
y = x;
for (j = 1; j <= m; j++) {
A[j] = y % (l+1);
y /= (l+1);
}
for (i = 0; i <= l; i++)
Fert[i] = 0;
for (j = 1; j <= m; j++)
Fert[A[j]]++;
if (2 * Fert[0] <= m) { /* consider alignments that has Fert[0] less than
half the number of words in French sentence */
aprob = prob_of_target_and_alignment_given_source(A, Fert,
tTable, fs, es);
temp = aprob/all_prob;
LogProb templcount = temp*lcount;
for (j = 1; j <= m; j++) {
tTable.incCount(es[A[j]], fs[j], templcount);
if (0 != A[j])
dCountTable.addValue(j, A[j], l, m, templcount);
}
for (i = 0; i <= l; i++) {
nCountTable.addValue(es[i], Fert[i], templcount);
//cout << "AFTER INC2: " << templcount << " " << nCountTable.getRef(es[i], Fert[i]) << '\n';
}
p1_count += double(temp) * (Fert[0] * count);
p0_count += double(temp) * ((m - 2 * Fert[0]) * count);
}
} /* of looping over all alignments */
} /* of sentence pair E, F */
sHandler1.rewind();
// normalize tables
if (OutputInAachenFormat==1)
tTable.printCountTable(tfile.c_str(), Elist.getVocabList(),
Flist.getVocabList(), 1);
tTable.normalizeTable(Elist, Flist);
aCountTable.normalize(aTable);
dCountTable.normalize(dTable);
nCountTable.normalize(nTable, &Elist.getVocabList());
// normalize p1 & p0
if (p1_count + p0_count != 0) {
p1 = p1_count / (p1_count + p0_count );
p0 = 1 - p1;
} else {
p1 = p0 = 0;
}
// print tables
if (OutputInAachenFormat==0)
tTable.printProbTable(tfile.c_str(), Elist.getVocabList(),
Flist.getVocabList(), OutputInAachenFormat);
dTable.printTable(dfile.c_str());
nTable.printNTable(Elist.uniqTokens(), nfile.c_str(),
Elist.getVocabList(), OutputInAachenFormat);
ofstream of(p0file.c_str());
of << p0;
of.close();
it_fn = time(NULL) ;
cout << "\n" << "Model3 Iteration "<<it<<" took: " << difftime(it_fn,
it_st) << " seconds\n";
} /* of iterations */
fn = time(NULL) ;
cout << "\n" << "Entire Model3 Training took: " << difftime(fn, st)
<< " seconds\n";
}
//-----------------------------------------------------------------------
/*
void simpleModel3Test()
{
PositionIndex l=6;
PositionIndex m=8;
alignment al(l,m);
al.set(1,1);
al.set(2,2);
al.set(3,3);
al.set(4,2);
al.set(5,0);
al.set(6,6);
al.set(7,3);
al.set(8,4);
cout << al;
PositionIndex prev_cept=0;
PositionIndex vac_all=m;
Vector<char> vac(m+1,0);
for(PositionIndex i=1;i<=l;i++)
{
PositionIndex cur_j=al.als_i[i];
cout << "LOOP: " << i << " " << cur_j << '\n';
PositionIndex prev_j=0;
PositionIndex k=0;
if(cur_j) { // process first word of cept
k++;
vac_all--;
assert(vac[cur_j]==0);
vac[cur_j]=1;
for(unsigned int q=0;q<vac.size();q++)cout << (vac[q]?'1':'0') << ' ';
cout << '\n';
cout << i << " " << cur_j << ": d1(" << vacancies(vac,cur_j) << "|" << vacancies(vac,al.get_center(prev_cept)) << "," << vac_all << "+" << -al.fert(i)<< "+" << +k << ")\n" << '\n';
prev_j=cur_j;
cur_j=al.als_j[cur_j].next;
}
while(cur_j) { // process following words of cept
k++;
vac_all--;
vac[cur_j]=1;
int vprev=vacancies(vac,prev_j);
cout << "PREV: " << prev_j << '\n';
for(unsigned int q=0;q<vac.size();q++)cout << (vac[q]?'1':'0') << ' ';
cout << '\n';
cout << i << " " << cur_j << ": d>1(" << vacancies(vac,cur_j) << "-" << vprev << "|" << vac_all<< "+" << -al.fert(i)<< "+" << +k << ")\n" << '\n';
prev_j=cur_j;
cur_j=al.als_j[cur_j].next;
}
assert(k==al.fert(i));
if( k )
prev_cept=i;
}
assert(vac_all==al.fert(0));
}
*/
extern short DoViterbiTraining;
struct m3_em_loop_t {
model3 *m;
int done;
int valid;
string alignfile;
string modelName;
int it;
bool dump_files;
char toModel, fromModel;
pthread_t thread;
d4model* d4;
d5model* d5;
bool final;
m3_em_loop_t() :
m(0), done(0), valid(0),d4(0),d5(0) {
}
;
};
void* m3_exe_emloop(void *arg) {
m3_em_loop_t* em =(m3_em_loop_t *) arg;
em->m->viterbi_thread(em->it, em->alignfile, em->dump_files, *(em->d4),*(em->d5),em->final,em->fromModel,em->toModel,em->modelName);
em->done = -1;
return arg;
}
void model3::viterbi_thread(int it, string alignfile, bool dump_files,d4model& d4m,d5model& d5m,bool final,char fromModel,char toModel,string& modelName) {
#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, dump_files, alignfile.c_str(), true, modelName,final
switch (toModel) {
case '3':{
switch (fromModel) {
case 'H':
viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TRAIN_ARGS,h,(void*)0);
break;
case '3':
viterbi_loop_with_tricks<transpair_model3>( TRAIN_ARGS, (void*)0,(void*)0);
break;
default:
abort();
}
break;
}
case '4': {
switch (fromModel) {
case 'H':
viterbi_loop_with_tricks<transpair_modelhmm, const hmm, d4model>(TRAIN_ARGS,h,&d4m);
break;
case '3':
viterbi_loop_with_tricks<transpair_model3, void, d4model>(TRAIN_ARGS, (void*)0,&d4m);
break;
case '4':
viterbi_loop_with_tricks<transpair_model4, d4model, d4model>(TRAIN_ARGS , &d4m,&d4m);
break;
default:
abort();
}
}
break;
case '5': {
switch (fromModel) {
case 'H':
viterbi_loop_with_tricks<transpair_modelhmm, const hmm, d5model>(TRAIN_ARGS,h,&d5m);
break;
case '3':
viterbi_loop_with_tricks<transpair_model3, void, d5model>(TRAIN_ARGS, (void*)0,&d5m);
break;
case '4':
viterbi_loop_with_tricks<transpair_model4, d4model, d5model>(TRAIN_ARGS, &d4m,&d5m);
break;
case '5':
viterbi_loop_with_tricks<transpair_model5, d5model, d5model>(TRAIN_ARGS, &d5m,&d5m);
break;
default:
abort();
}
}
break;
default:
abort();
}
}
extern short NCPUS;
int model3::viterbi(int noIterationsModel3, int noIterationsModel4,
int noIterationsModel5, int noIterationsModel6, const char* prev_d4,const char* prev_d4_2,bool dumpCount,
const char* dumpCountName, bool useString) {
double minErrors=1.0;
int minIter=0;
if(ewordclasses==NULL)
ewordclasses = new WordClasses;
if(fwordclasses==NULL)
fwordclasses = new WordClasses;
d4model d4m(MAX_SENTENCE_LENGTH,*ewordclasses,*fwordclasses);
if(prev_d4){
string previous_d4model = prev_d4;
string previous_d4model_1 = prev_d4_2;
cerr << "We are going to read d4 table from " << previous_d4model << "," << previous_d4model_1 << endl;
d4m.readProbTable(previous_d4model.c_str(),previous_d4model_1.c_str());
}
if(h==NULL)
d4m.makeWordClasses(Elist, Flist, SourceVocabClassesFilename,
TargetVocabClassesFilename,Elist,Flist);
d5model d5m(d4m);
//d5m.makeWordClasses(Elist, Flist, SourceVocabFilename+".classes",
// TargetVocabFilename+".classes");
time_t it_st, st, it_fn, fn;
bool dump_files = false;
string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file,
alignfile, number, test_alignfile, d4file, d5file, zeroFertFile;
st = time(NULL);
sHandler1.rewind();
if (testPerp && testHandler)
(*testHandler).rewind();
string trainingString;
trainingString+=(prev_d4 ? '4' : (h ? 'H' : '3'));
for (int i=0; i<noIterationsModel3; ++i)
trainingString+='3';
for (int i=0; i<noIterationsModel4; ++i)
trainingString+='4';
for (int i=0; i<noIterationsModel5; ++i)
trainingString+='5';
for (int i=0; i<noIterationsModel6; ++i)
trainingString+='6';
cout << "\n==========================================================\n";
cout << "Starting "<<trainingString<<": Viterbi Training";
cout << "\n "<<trainingString<<" Training Started at: "<< my_ctime(&st)
<< '\n';
vector<m3_em_loop_t> th;
th.resize(NCPUS);
int k;
for(k = 1; k< NCPUS; k++){
th[k].m = this;
th[k].d4 = &d4m;
th[k].d5 = &d5m;
}
for (unsigned int it=1; it < trainingString.length(); it++) {
bool final=0;
if (it==trainingString.length()-1)
final=1;
string modelName;
char fromModel=trainingString[it-1], toModel=trainingString[it];
if (fromModel==toModel)
modelName=string("Model")+fromModel;
else
modelName=string("T")+fromModel+"To"+toModel;
it_st = time(NULL);
cout <<"\n---------------------\n"<<modelName<<": Iteration " << it
<<'\n';
dump_files = (final || ((Model3_Dump_Freq != 0) && ((it
% Model3_Dump_Freq) == 0))) && !NODUMPS;
string d4file2;
{
// set up the names of the files where the tables will be printed
int n = it;
number = "";
do {
//mj changed next line
number.insert((size_t) 0, 1, (char)(n % 10 + '0'));
} while ((n /= 10) > 0);
if (final)
number="final";
tfile = Prefix + ".t3." + number;
tfile_actual = Prefix + ".actual.t3." + number;
afile = Prefix + ".a3." + number;
nfile = Prefix + ".n3." + number;
nfile_actual = Prefix + ".actual.n3." + number;
dfile = Prefix + ".d3." + number;
d4file = Prefix + ".d4." + number;
d4file2 = Prefix + ".D4." + number;
d5file = Prefix + ".d5." + number;
alignfile = Prefix + ".A3." + number;
test_alignfile = Prefix + ".tst.A3." + number;
p0file = Prefix + ".p0_3." + number;
}
// clear count tables
// tCountTable.clear();
dCountTable.clear();
aCountTable.clear();
initAL();
nCountTable.clear();
d4m.clear();
p0_count = p1_count = 0;
//dump_files=true;
sHandler1.rewind();
if (testPerp && testHandler)
(*testHandler).rewind();
char node[2] ;
node[1] = '\0';
for (k=1 ; k< NCPUS ; k++){
th[k].m = this;
th[k].done = 0;
th[k].valid = 0;
th[k].it = it;
th[k].final = final;
th[k].alignfile = alignfile + ".part";
node[0] = '0' + k;
th[k].alignfile += node;
th[k].dump_files = dump_files;
th[k].fromModel = fromModel;
th[k].toModel = toModel;
th[k].modelName = modelName;
th[k].valid = pthread_create(&(th[k].thread),NULL,m3_exe_emloop,&(th[k]));
if(th[k].valid){
cerr << "Error starting thread " << k << endl;
}
}
node[0] = '0';
alignfile = alignfile + ".part";
alignfile += node;
#ifdef TRICKY_IBM3_TRAINING
#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, dump_files, alignfile.c_str(), true, modelName,final
#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final
switch (toModel) {
case '3':
switch (fromModel) {
case 'H':
viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TRAIN_ARGS,h,(void*)0);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TEST_ARGS, h,(void*)0);
break;
case '3':
viterbi_loop_with_tricks<transpair_model3>( TRAIN_ARGS, (void*)0,(void*)0);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model3>( TEST_ARGS, (void*)0,(void*)0);
break;
default:
abort();
}
break;
case '4': {
switch (fromModel) {
case 'H':
viterbi_loop_with_tricks<transpair_modelhmm, const hmm, d4model>(TRAIN_ARGS,h,&d4m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_modelhmm, const hmm,
d4model>(TEST_ARGS, h,&d4m);
break;
case '3':
viterbi_loop_with_tricks<transpair_model3, void, d4model>(TRAIN_ARGS, (void*)0,&d4m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model3, void, d4model>( TEST_ARGS , (void*)0,&d4m);
break;
case '4':
viterbi_loop_with_tricks<transpair_model4, d4model, d4model>(TRAIN_ARGS , &d4m,&d4m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model4, d4model, d4model>( TEST_ARGS, &d4m,&d4m);
break;
default:
abort();
}
if(dumpCount && it == trainingString.length()-1){
string realD4TableName = dumpCountName;
realD4TableName += ".d4.count";
string realD4bTableName = realD4TableName+".b";
if(!d4m.dumpCount(realD4TableName.c_str(),realD4bTableName.c_str()))
cerr <<"Error writing count file to" << realD4TableName << endl;
}
d4m.normalizeTable();
if (dump_files)
d4m.printProbTable(d4file.c_str(), d4file2.c_str());
}
break;
case '5': {
switch (fromModel) {
case 'H':
viterbi_loop_with_tricks<transpair_modelhmm, const hmm, d5model>(TRAIN_ARGS,h,&d5m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_modelhmm, const hmm,
d5model>(TEST_ARGS, h,&d5m);
break;
case '3':
viterbi_loop_with_tricks<transpair_model3, void, d5model>(TRAIN_ARGS, (void*)0,&d5m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model3, void, d5model>( TEST_ARGS , (void*)0,&d5m);
break;
case '4':
viterbi_loop_with_tricks<transpair_model4, d4model, d5model>(TRAIN_ARGS, &d4m,&d5m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model4, d4model, d5model>( TEST_ARGS, &d4m,&d5m);
break;
case '5':
viterbi_loop_with_tricks<transpair_model5, d5model, d5model>(TRAIN_ARGS, &d5m,&d5m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model5, d5model, d5model>( TEST_ARGS, &d5m,&d5m);
break;
default:
abort();
}
if(dumpCount && it == trainingString.length()-1){
string realD4TableName = dumpCountName;
realD4TableName += ".d4";
string realD4bTableName = realD4TableName+".b";
if(!d5m.d4m.dumpCount(realD4TableName.c_str(),realD4bTableName.c_str()))
cerr <<"Error writing count file to" << realD4TableName << endl;
}
d5m.d4m.normalizeTable();
if (dump_files)
d5m.d4m.printProbTable(d4file.c_str(), d4file2.c_str());
d5m.normalizeTable();
if (dump_files) {
ofstream d5output(d5file.c_str());
d5output << d5m;
}
}
break;
default:
abort();
}
#else
viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files,
alignfile.c_str(), true, model);
if (testPerp && testHandler)
viterbi_loop(*testPerp, *testViterbiPerp, *testHandler,
dump_files, test_alignfile.c_str(), false, model);
#endif
for (k=1;k<NCPUS;k++){
pthread_join((th[k].thread),NULL);
cerr << "Thread " << k << "done" << endl;
}
if (errorsAL()<minErrors) {
minErrors=errorsAL();
minIter=it;
}
// now normalize count tables
// dump_files = true;
if (dump_files&&OutputInAachenFormat==1)
tTable.printCountTable(tfile.c_str(), Elist.getVocabList(),
Flist.getVocabList(), 1);
perp.record(modelName);
errorReportAL(cerr, modelName);
trainViterbiPerp.record(modelName);
if(dumpCount && it == trainingString.length()-1){
string realTableName = dumpCountName;
realTableName += ".t.count";
tTable.printCountTable(realTableName.c_str(),Elist.getVocabList(),Flist.getVocabList(),useString);
string realATableName = dumpCountName;
realATableName += ".a.count";
aCountTable.printRealTable(realATableName.c_str());
string realDTableName = dumpCountName;
realDTableName += ".d.count";
dCountTable.printRealTable(realDTableName.c_str());
string realNTableName = dumpCountName;
realNTableName += ".n.count";
nCountTable.printRealNTable(Elist.uniqTokens(),realNTableName.c_str(),Elist.getVocabList(),useString);
}
tTable.normalizeTable(Elist, Flist);
aCountTable.normalize(aTable);
dCountTable.normalize(dTable);
nCountTable.normalize(nTable, &Elist.getVocabList());
sHandler1.rewind();
//testHandler->rewind();
// cout << "tTable contains " <<
// tTable.getHash().bucket_count() << " buckets and "<<
//tTable.getHash().size() << " entries.\n";
// normalize p1 & p0
cout << "p0_count is " << p0_count << " and p1 is " << p1_count << "; ";
if (P0!=-1.0) {
p0 = P0;
p1 = 1-P0;
} else {
if (p1_count + p0_count != 0) {
p1 = p1_count / (p1_count + p0_count );
p0 = 1 - p1;
} else {
p1 = p0 = 0;
cerr << "ERROR: p0_count+p1_count is zero!!!\n";
}
}
cout << "p0 is " << p0 << " p1: " << p1 << '\n';
cout << modelName<<": TRAIN CROSS-ENTROPY " << perp.cross_entropy()
<< " PERPLEXITY " << perp.perplexity() << '\n';
if (testPerp && testHandler)
cout << modelName << ":("<<it<<" TEST CROSS-ENTROPY " << (*testPerp).cross_entropy() << " PERPLEXITY " << (*testPerp).perplexity() << " sum: " << (*testPerp).getSum()<< " wc: " << (*testPerp).word_count() << '\n';
cout << modelName << ": ("<<it<<") TRAIN VITERBI CROSS-ENTROPY "
<< trainViterbiPerp.cross_entropy() << " PERPLEXITY "
<< trainViterbiPerp.perplexity() << '\n';
if (testPerp && testHandler)
cout << modelName << ": ("<<it<<")TEST VITERBI CROSS-ENTROPY "
<< (*testViterbiPerp).cross_entropy() << " PERPLEXITY "
<< (*testViterbiPerp).perplexity() << " Sum: " << (*testViterbiPerp).getSum() << " wc: " << (*testViterbiPerp).word_count() << '\n';
//dump_files = true;
if (dump_files) {
if (OutputInAachenFormat==0)
tTable.printProbTable(tfile.c_str(), Elist.getVocabList(),
Flist.getVocabList(), OutputInAachenFormat);
aTable.printTable(afile.c_str());
dTable.printTable(dfile.c_str());
nTable.printNTable(Elist.uniqTokens(), nfile.c_str(),
Elist.getVocabList(), OutputInAachenFormat);
ofstream of(p0file.c_str());
of << p0;
of.close();
}
it_fn = time(NULL) ;
cout << "\n" << modelName << " Viterbi Iteration : "<<it<< " took: "
<< difftime(it_fn, it_st) << " seconds\n";
} /* of iterations */
fn = time(NULL);
cout << trainingString <<" Training Finished at: " << my_ctime(&fn) << "\n";
cout << "\n" << "Entire Viterbi "<<trainingString<<" Training took: "
<< difftime(fn, st) << " seconds\n";
cout << "==========================================================\n";
if (noIterationsModel4||noIterationsModel5)
minIter-=noIterationsModel3;
if (noIterationsModel5)
minIter-=noIterationsModel4;
return minIter;
}
int model3::viterbi_hto3() {
double minErrors=1.0;
int minIter=0;
time_t it_st, st, it_fn, fn;
bool dump_files = false;
string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file,
alignfile, number, test_alignfile, d4file, d5file, zeroFertFile;
st = time(NULL);
cout << "Starting HMM To Model 3 Viterbi Training";
cout << "\n hto3 Training Started at: "<< my_ctime(&st) << '\n';
string modelName="H23";
//cout <<"\n---------------------\n"<<modelName<<": Iteration " << it<<'\n';
int it = 1;
bool final =false;
///ump_files = true;
dump_files = (final || ((Model3_Dump_Freq != 0) && ((it % Model3_Dump_Freq)
== 0))) && !NODUMPS;
string d4file2;
{
// set up the names of the files where the tables will be printed
int n = it;
number = "";
do {
//mj changed next line
number.insert((size_t) 0, 1, (char)(n % 10 + '0'));
} while ((n /= 10) > 0);
if (final)
number="final";
tfile = Prefix + ".t3." + number;
tfile_actual = Prefix + ".actual.t3." + number;
afile = Prefix + ".a3." + number;
nfile = Prefix + ".n3." + number;
nfile_actual = Prefix + ".actual.n3." + number;
dfile = Prefix + ".d3." + number;
d4file = Prefix + ".d4." + number;
d4file2 = Prefix + ".D4." + number;
d5file = Prefix + ".d5." + number;
alignfile = Prefix + ".AH3_";
char _p[2];
_p[1] = 0;
_p[0] = iter + '0';
alignfile += _p;
alignfile += ".part";
_p[1] = 0;
_p[0] = part + '0';
alignfile += _p;
test_alignfile = Prefix + ".tst.A3." + number;
test_alignfile = Prefix + ".tst.A3." + number;
p0file = Prefix + ".p0_3." + number;
}
// clear count tables
// tCountTable.clear();
dCountTable.clear();
aCountTable.clear();
initAL();
nCountTable.clear();
p0_count = p1_count = 0;
#ifdef TRICKY_IBM3_TRAINING
#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, true, alignfile.c_str(), true, modelName,final
#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final
viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TRAIN_ARGS,h,(void*)0);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TEST_ARGS, h,(void*)0);
#else
viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files,
alignfile.c_str(), true, model);
if (testPerp && testHandler)
viterbi_loop(*testPerp, *testViterbiPerp, *testHandler,
dump_files, test_alignfile.c_str(), false, model);
#endif
if (errorsAL()<minErrors) {
minErrors=errorsAL();
minIter=it;
}
return minIter;
}
int model3::viterbi_3to3() {
bool final = false;
double minErrors=1.0;
int minIter=0;
time_t it_st, st, it_fn, fn;
bool dump_files = false;
string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file,
alignfile, number, test_alignfile, d4file, d5file, zeroFertFile;
st = time(NULL);
cout << "Starting HMM To Model 3 Viterbi Training";
cout << "\n hto3 Training Started at: "<< my_ctime(&st) << '\n';
string modelName="H23";
int it = 1;
// cout <<"\n---------------------\n"<<modelName<<": Iteration " << it<<'\n';
dump_files = (final || ((Model3_Dump_Freq != 0) && ((it % Model3_Dump_Freq)
== 0))) && !NODUMPS;
dump_files = true;
string d4file2;
{
// set up the names of the files where the tables will be printed
int n = it;
number = "";
do {
//mj changed next line
number.insert((size_t) 0, 1, (char)(n % 10 + '0'));
} while ((n /= 10) > 0);
if (final)
number="final";
tfile = Prefix + ".t3." + number;
tfile_actual = Prefix + ".actual.t3." + number;
afile = Prefix + ".a3." + number;
nfile = Prefix + ".n3." + number;
nfile_actual = Prefix + ".actual.n3." + number;
dfile = Prefix + ".d3." + number;
d4file = Prefix + ".d4." + number;
d4file2 = Prefix + ".D4." + number;
d5file = Prefix + ".d5." + number;
alignfile = Prefix + ".A3_";
char _p[2];
_p[1] = 0;
_p[0] = iter + '0';
alignfile += _p;
alignfile += ".part";
_p[1] = 0;
_p[0] = part + '0';
alignfile += _p;
test_alignfile = Prefix + ".tst.A3." + number;
p0file = Prefix + ".p0_3." + number;
}
// clear count tables
// tCountTable.clear();
dCountTable.clear();
aCountTable.clear();
initAL();
nCountTable.clear();
p0_count = p1_count = 0;
#ifdef TRICKY_IBM3_TRAINING
#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, true, alignfile.c_str(), true, modelName,final
#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final
viterbi_loop_with_tricks<transpair_model3>( TRAIN_ARGS, (void*)0,(void*)0);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model3>( TEST_ARGS, (void*)0,(void*)0);
#else
viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files,
alignfile.c_str(), true, model);
if (testPerp && testHandler)
viterbi_loop(*testPerp, *testViterbiPerp, *testHandler,
dump_files, test_alignfile.c_str(), false, model);
#endif
if (errorsAL()<minErrors) {
minErrors=errorsAL();
minIter=it;
}
return minIter;
}
d4model* model3::viterbi_3to4() {
double minErrors=1.0;
int minIter=0;
time_t it_st, st, it_fn, fn;
bool final = false;
bool dump_files = false;
if(ewordclasses==NULL)
ewordclasses = new WordClasses;
if(fwordclasses==NULL)
fwordclasses = new WordClasses;
d4model *dm1 = new d4model(MAX_SENTENCE_LENGTH,*ewordclasses,*fwordclasses);
d4model& d4m = *dm1;
//d4m.makeWordClasses(Elist, Flist, SourceVocabFilename+".classes",
// TargetVocabFilename+".classes");
string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file,
alignfile, number, test_alignfile, d4file, d5file, zeroFertFile;
st = time(NULL);
cout << "Starting Model 3 To Model 4 Viterbi Training";
cout << "\n hto3 Training Started at: "<< my_ctime(&st) << '\n';
string modelName="34";
int it = 1;
//cout <<"\n---------------------\n"<<modelName<<": Iteration " << it<<'\n';
dump_files = (final || ((Model3_Dump_Freq != 0) && ((it % Model3_Dump_Freq)
== 0))) && !NODUMPS;
dump_files = true;
string d4file2;
{
// set up the names of the files where the tables will be printed
int n = it;
number = "";
do {
//mj changed next line
number.insert((size_t) 0, 1, (char)(n % 10 + '0'));
} while ((n /= 10) > 0);
if (final)
number="final";
tfile = Prefix + ".t3." + number;
tfile_actual = Prefix + ".actual.t3." + number;
afile = Prefix + ".a3." + number;
nfile = Prefix + ".n3." + number;
nfile_actual = Prefix + ".actual.n3." + number;
dfile = Prefix + ".d3." + number;
d4file = Prefix + ".d4." + number;
d4file2 = Prefix + ".D4." + number;
d5file = Prefix + ".d5." + number;
alignfile = Prefix + ".A34_";
char _p[2];
_p[1] = 0;
_p[0] = iter + '0';
alignfile += _p;
alignfile += ".part";
_p[1] = 0;
_p[0] = part + '0';
alignfile += _p;
test_alignfile = Prefix + ".tst.A3." + number;
p0file = Prefix + ".p0_3." + number;
}
// clear count tables
// tCountTable.clear();
dCountTable.clear();
aCountTable.clear();
initAL();
nCountTable.clear();
p0_count = p1_count = 0;
#ifdef TRICKY_IBM3_TRAINING
#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, true, alignfile.c_str(), true, modelName,final
#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final
viterbi_loop_with_tricks<transpair_model3, void, d4model>(TRAIN_ARGS, (void*)0,&d4m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model3, void, d4model>( TEST_ARGS , (void*)0,&d4m);
#else
viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files,
alignfile.c_str(), true, model);
if (testPerp && testHandler)
viterbi_loop(*testPerp, *testViterbiPerp, *testHandler,
dump_files, test_alignfile.c_str(), false, model);
#endif
if (errorsAL()<minErrors) {
minErrors=errorsAL();
minIter=it;
}
return dm1;
}
int model3::viterbi_4to4(d4model& d4m) {
double minErrors=1.0;
int minIter=0;
bool dump_files = false;
//d4model d4m(MAX_SENTENCE_LENGTH);
//d4m.makeWordClasses(Elist, Flist, SourceVocabFilename+".classes",
// TargetVocabFilename+".classes");
string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file,
alignfile, number, test_alignfile, d4file, d5file, zeroFertFile;
cout << "Starting Model4 To Model 4 Viterbi Training";
int it = 1;
bool final = false;
dump_files = (final || ((Model3_Dump_Freq != 0) && ((it % Model3_Dump_Freq)
== 0))) && !NODUMPS;
dump_files = true;
string modelName="H23";
//cout <<"\n---------------------\n"<<modelName<<": Iteration " << it<<'\n';
string d4file2;
{
// set up the names of the files where the tables will be printed
int n = it;
number = "";
do {
//mj changed next line
number.insert((size_t) 0, 1, (char)(n % 10 + '0'));
} while ((n /= 10) > 0);
tfile = Prefix + ".t3." + number;
tfile_actual = Prefix + ".actual.t3." + number;
afile = Prefix + ".a3." + number;
nfile = Prefix + ".n3." + number;
nfile_actual = Prefix + ".actual.n3." + number;
dfile = Prefix + ".d3." + number;
d4file = Prefix + ".d4." + number;
d4file2 = Prefix + ".D4." + number;
d5file = Prefix + ".d5." + number;
alignfile = Prefix + ".A4_";
char _p[2];
_p[1] = 0;
_p[0] = iter + '0';
alignfile += _p;
alignfile += ".part";
_p[1] = 0;
_p[0] = part + '0';
alignfile += _p;
test_alignfile = Prefix + ".tst.A3." + number;
p0file = Prefix + ".p0_3." + number;
}
// clear count tables
// tCountTable.clear();
dCountTable.clear();
aCountTable.clear();
initAL();
nCountTable.clear();
p0_count = p1_count = 0;
#ifdef TRICKY_IBM3_TRAINING
#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, true, alignfile.c_str(), true, modelName,final
#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final
viterbi_loop_with_tricks<transpair_model4, d4model, d4model>(TRAIN_ARGS , &d4m,&d4m);
if (testPerp && testHandler)
viterbi_loop_with_tricks<transpair_model4, d4model, d4model>( TEST_ARGS, &d4m,&d4m);
#else
viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files,
alignfile.c_str(), true, model);
if (testPerp && testHandler)
viterbi_loop(*testPerp, *testViterbiPerp, *testHandler,
dump_files, test_alignfile.c_str(), false, model);
#endif
if (errorsAL()<minErrors) {
minErrors=errorsAL();
minIter=it;
}
return minIter;
}
struct model3_align_struct {
model3 *m;
int part;
int iter;
int valid;
pthread_t thread;
int done;
d4model *d4;
int result;
model3_align_struct() :
m(NULL), part(0), iter(0), valid(0), done(0), d4(NULL) {
}
};
void* em_thread_h23(void *arg) {
model3_align_struct * m3 = (model3_align_struct*) arg;
m3->m->initAL();
m3->result = m3->m->viterbi_hto3();
m3->done = 1;
return m3;
}
void* em_thread_323(void *arg) {
model3_align_struct * m3 = (model3_align_struct*) arg;
m3->m->initAL();
m3->result = m3->m->viterbi_3to3();
m3->done = 1;
return m3;
}
void* em_thread_324(void *arg) {
model3_align_struct * m3 = (model3_align_struct*) arg;
m3->m->initAL();
m3->d4 = m3->m->viterbi_3to4();
m3->done = 1;
return m3;
}
void* em_thread_424(void *arg) {
model3_align_struct * m3 = (model3_align_struct*) arg;
m3->m->initAL();
m3->result = m3->m->viterbi_4to4(*(m3->d4));
m3->done = 1;
return m3;
}
void multi_thread_m34_em(model3& m3, int ncpu, int Model3_Iterations,
int Model4_Iterations) {
string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file,
alignfile, number, test_alignfile, d4file, d5file, zeroFertFile;
vector<model3_align_struct> threads;
bool dump_files = false;
threads.resize(ncpu);
time_t it_st, st, it_fn, fn;
int i, j;
int H = 0;
int T4 = Model3_Iterations;
ncpu=1;
vector<amodel<COUNT> > counts;
counts.resize(ncpu);
m3.part=0;
for (i=1; i<ncpu; i++) {
threads[i].m = new model3(m3,m3.dTable,m3.nTable,counts[i]);
threads[i].m->setHMM(m3.h);
threads[i].m->part = i;
}
d4model *d4m= NULL;
st = time(NULL);
string trainingString;
trainingString+=(m3.h ? 'H' : '3');
for (int i=0; i<Model3_Iterations; ++i)
trainingString+='3';
for (int i=0; i<Model4_Iterations; ++i)
trainingString+='4';
cout << "\n==========================================================\n";
cout << "Starting "<<trainingString<<": Viterbi Training";
cout << "\n "<<trainingString<<" Training Started at: "<< my_ctime(&st)
<< '\n';
for (i=0; i<Model3_Iterations+Model4_Iterations; i++) {
m3.perp.clear();
m3.trainViterbiPerp.clear();
m3.iter = i;
bool final = (i==Model3_Iterations-1 || i == Model4_Iterations
+Model3_Iterations-1);
dump_files = (final || ((Model3_Dump_Freq != 0) && ((i
% Model3_Dump_Freq) == 0))) && !NODUMPS;
m3.sHandler1.rewind();
m3.perp.clear() ; // clears cross_entrop & perplexity
m3.trainViterbiPerp.clear() ; // clears cross_entrop & perplexity
string modelName;
it_st = time(NULL);
dump_files = (final || ((Model3_Dump_Freq != 0) && ((i
% Model3_Dump_Freq) == 0))) && !NODUMPS;
string d4file2;
{
// set up the names of the files where the tables will be printed
int n = i;
number = "";
do {
//mj changed next line
number.insert((size_t) 0, 1, (char)(n % 10 + '0'));
} while ((n /= 10) > 0);
if (final)
number="final";
tfile = Prefix + ".t3." + number;
tfile_actual = Prefix + ".actual.t3." + number;
afile = Prefix + ".a3." + number;
nfile = Prefix + ".n3." + number;
nfile_actual = Prefix + ".actual.n3." + number;
dfile = Prefix + ".d3." + number;
d4file = Prefix + ".d4." + number;
d4file2 = Prefix + ".D4." + number;
d5file = Prefix + ".d5." + number;
alignfile = Prefix + ".A3." + number;
test_alignfile = Prefix + ".tst.A3." + number;
p0file = Prefix + ".p0_3." + number;
}
if (m3.testPerp && m3.testHandler) {
m3.testHandler->rewind();
m3.testPerp->clear();
m3.testViterbiPerp->clear();
}
for (j=1; j<ncpu; j++) {
threads[j].m->p0 = m3.p0;
threads[j].m->p1 = m3.p1;
threads[j].m->p0_count = 0;
threads[j].m->p1_count = 0;
threads[j].m->nCountTable.clear();
threads[j].m->dCountTable.clear();
threads[j].m->aCountTable.clear();
threads[j].m->iter = i;
if (threads[j].d4) {
*(threads[j].d4) = *d4m;
threads[j].d4->clear();
}
}
if (i==0) { // H23
for (j=1; j<ncpu; j++) {
threads[j].valid = pthread_create(&(threads[j].thread), NULL,
em_thread_h23, &(threads[j]));
if (threads[j].valid) {
cerr << "Error Starting Thread " << j << endl;
}
}
modelName = "HTO3";
m3.viterbi_hto3();
while (1) {
bool done = true;
for (j=1; j<ncpu; j++) {
//pthread_join((args[j].thread),NULL);
// Start normalization as soon as possible
if (threads[j].done==1) {
threads[j].done = 2;
m3.aCountTable.merge(threads[j].m->aCountTable);
m3.dCountTable.merge(threads[j].m->dCountTable);
m3.nCountTable.merge(threads[j].m->nCountTable,
m3.Elist.uniqTokens(), m3.Elist.getVocabList());
m3.p0_count += threads[j].m->p0_count;
m3.p1_count += threads[j].m->p1_count;
} else if (threads[j].done==2) {
// Nothing
} else if (threads[j].done==0) {
done = false;
}
}
if (done)
break;
}
} else if (i>0 && i< Model3_Iterations) {
modelName = "3TO3";
for (j=1; j<ncpu; j++) {
threads[j].valid = pthread_create(&(threads[j].thread), NULL,
em_thread_323, &(threads[j]));
if (threads[j].valid) {
cerr << "Error Starting Thread " << j << endl;
}
}
m3.viterbi_3to3();
while (1) {
bool done = true;
for (j=1; j<ncpu; j++) {
//pthread_join((args[j].thread),NULL);
// Start normalization as soon as possible
if (threads[j].done==1) {
threads[j].done = 2;
m3.aCountTable.merge(threads[j].m->aCountTable);
m3.dCountTable.merge(threads[j].m->dCountTable);
m3.nCountTable.merge(threads[j].m->nCountTable,
m3.Elist.uniqTokens(), m3.Elist.getVocabList());
m3.p0_count += threads[j].m->p0_count;
m3.p1_count += threads[j].m->p1_count;
} else if (threads[j].done==2) {
// Nothing
} else if (threads[j].done==0) {
done = false;
}
}
if (done)
break;
}
} else if (i==Model3_Iterations) {
modelName = "3TO4";
for (j=1; j<ncpu; j++) {
threads[j].valid = pthread_create(&(threads[j].thread), NULL,
em_thread_324, &(threads[j]));
if (threads[j].valid) {
cerr << "Error Starting Thread " << j << endl;
}
}
d4m = m3.viterbi_3to4();
while (1) {
bool done = true;
for (j=1; j<ncpu; j++) {
//pthread_join((args[j].thread),NULL);
// Start normalization as soon as possible
if (threads[j].done==1) {
threads[j].done = 2;
m3.aCountTable.merge(threads[j].m->aCountTable);
m3.dCountTable.merge(threads[j].m->dCountTable);
m3.nCountTable.merge(threads[j].m->nCountTable,
m3.Elist.uniqTokens(), m3.Elist.getVocabList());
m3.p0_count += threads[j].m->p0_count;
m3.p1_count += threads[j].m->p1_count;
d4m->merge(*threads[j].d4);
} else if (threads[j].done==2) {
// Nothing
} else if (threads[j].done==0) {
done = false;
}
}
if (done)
break;
}
} else if (i>Model3_Iterations) {
modelName = "4TO4";
for (j=1; j<ncpu; j++) {
threads[j].valid = pthread_create(&(threads[j].thread), NULL,
em_thread_424, &(threads[j]));
if (threads[j].valid) {
cerr << "Error Starting Thread " << j << endl;
}
}
m3.viterbi_4to4(*d4m);
while (1) {
bool done = true;
for (j=1; j<ncpu; j++) {
//pthread_join((args[j].thread),NULL);
// Start normalization as soon as possible
if (threads[j].done==1) {
threads[j].done = 2;
m3.aCountTable.merge(threads[j].m->aCountTable);
m3.dCountTable.merge(threads[j].m->dCountTable);
m3.nCountTable.merge(threads[j].m->nCountTable,
m3.Elist.uniqTokens(), m3.Elist.getVocabList());
m3.p0_count += threads[j].m->p0_count;
m3.p1_count += threads[j].m->p1_count;
d4m->merge(*(threads[j].d4));
} else if (threads[j].done==2) {
// Nothing
} else if (threads[j].done==0) {
done = false;
}
}
if (done)
break;
}
}
m3.perp.record(modelName);
m3.errorReportAL(cerr, modelName);
m3.trainViterbiPerp.record(modelName);
m3.tTable.normalizeTable(m3.Elist, m3.Flist);
m3.aCountTable.normalize(m3.aTable);
m3.aCountTable.clear();
m3.dCountTable.normalize(m3.dTable);
m3.dCountTable.clear();
m3.nCountTable.normalize(m3.nTable, &(m3.Elist.getVocabList()));
m3.nCountTable.clear();
cout << "p0_count is " << m3.p0_count << " and p1 is " << m3.p1_count
<< "; ";
if (P0!=-1.0) {
m3.p0 = P0;
m3.p1 = 1-P0;
} else {
if (m3.p1_count + m3.p0_count != 0) {
m3.p1 = m3.p1_count / (m3.p1_count + m3.p0_count );
m3.p0 = 1 - m3.p1;
} else {
m3.p1 = m3.p0 = 0;
cerr << "ERROR: p0_count+p1_count is zero!!!\n";
}
}
m3.p0_count = m3.p1_count = 0;
cout << "p0 is " << m3.p0 << " p1: " << m3.p1 << '\n';
if (d4m) {
d4m->normalizeTable();
d4m->clear();
}
cout << modelName<<": TRAIN CROSS-ENTROPY " << m3.perp.cross_entropy()
<< " PERPLEXITY " << m3.perp.perplexity() << '\n';
if (m3.testPerp && m3.testHandler)
cout << modelName << ":("<<i<<" TEST CROSS-ENTROPY "
<< m3.testPerp->cross_entropy() << " PERPLEXITY "
<< m3.testPerp->perplexity() << " sum: "
<< m3.testPerp->getSum()<< " wc: "
<< m3.testPerp->word_count() << '\n';
cout << modelName << ": ("<<i<<") TRAIN VITERBI CROSS-ENTROPY "
<< m3.trainViterbiPerp.cross_entropy() << " PERPLEXITY "
<< m3.trainViterbiPerp.perplexity() << '\n';
bool dump_files = true;
if (dump_files) {
if (OutputInAachenFormat==0)
m3.tTable.printProbTable(tfile.c_str(),
m3.Elist.getVocabList(), m3.Flist.getVocabList(),
OutputInAachenFormat);
m3.aTable.printTable(afile.c_str());
m3.dTable.printTable(dfile.c_str());
m3.nTable.printNTable(m3.Elist.uniqTokens(), nfile.c_str(),
m3.Elist.getVocabList(), OutputInAachenFormat);
ofstream of(p0file.c_str());
of << m3.p0;
of.close();
}
it_fn = time(NULL);
cout << "\n" << modelName << " Viterbi Iteration : "<<i<< " took: "
<< difftime(it_fn, it_st) << " seconds\n";
}
fn = time(NULL);
cout << trainingString <<" Training Finished at: " << my_ctime(&fn) << "\n";
cout << "\n" << "Entire Viterbi "<<trainingString<<" Training took: "
<< difftime(fn, st) << " seconds\n";
cout << "==========================================================\n";
}