mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-27 05:55:02 +03:00
315 lines
9.3 KiB
C++
315 lines
9.3 KiB
C++
|
|
////////////////////////////////////////////////////////////
|
|
//
|
|
// generate set of target candidates for confusion net
|
|
//
|
|
////////////////////////////////////////////////////////////
|
|
|
|
|
|
|
|
#include <numeric>
|
|
#include "moses/Word.h"
|
|
#include "moses/Phrase.h"
|
|
#include "moses/ConfusionNet.h"
|
|
#include "moses/WordsRange.h"
|
|
#include "moses/TranslationModel/PhraseDictionaryTree.h"
|
|
|
|
using namespace Moses;
|
|
|
|
#if 0
|
|
// Generates all tuples from n indexes with ranges 0 to card[j]-1, respectively..
|
|
// Input: number of indexes and ranges: ranges[0] ... ranges[num_idx-1]
|
|
// Output: number of tuples and monodimensional array of tuples.
|
|
// Reference: mixed-radix generation algorithm (D. E. Knuth, TAOCP v. 4.2)
|
|
|
|
size_t GenerateTuples(unsigned num_idx,unsigned* ranges,unsigned *&tuples)
|
|
{
|
|
unsigned* single_tuple= new unsigned[num_idx+1];
|
|
unsigned num_tuples=1;
|
|
|
|
for (unsigned k=0; k<num_idx; ++k) {
|
|
num_tuples *= ranges[k];
|
|
single_tuple[k]=0;
|
|
}
|
|
|
|
tuples=new unsigned[num_idx * num_tuples];
|
|
|
|
// we need this additional element for the last iteration
|
|
single_tuple[num_idx]=0;
|
|
unsigned j=0;
|
|
for (unsigned n=0; n<num_tuples; ++n) {
|
|
memcpy((void *)((tuples + n * num_idx)),(void *)single_tuple,num_idx * sizeof(unsigned));
|
|
j=0;
|
|
while (single_tuple[j]==ranges[j]-1) {
|
|
single_tuple[j]=0;
|
|
++j;
|
|
}
|
|
++single_tuple[j];
|
|
}
|
|
delete [] single_tuple;
|
|
return num_tuples;
|
|
}
|
|
|
|
|
|
typedef PhraseDictionaryTree::PrefixPtr PPtr;
|
|
typedef std::vector<PPtr> vPPtr;
|
|
typedef std::vector<std::vector<Factor const*> > mPhrase;
|
|
|
|
std::ostream& operator<<(std::ostream& out,const mPhrase& p)
|
|
{
|
|
for(size_t i=0; i<p.size(); ++i) {
|
|
out<<i<<" - ";
|
|
for(size_t j=0; j<p[i].size(); ++j)
|
|
out<<p[i][j]->ToString()<<" ";
|
|
out<<"|";
|
|
}
|
|
|
|
return out;
|
|
}
|
|
|
|
struct State {
|
|
vPPtr ptrs;
|
|
WordsRange range;
|
|
float score;
|
|
|
|
State() : range(0,0),score(0.0) {}
|
|
State(size_t b,size_t e,const vPPtr& v,float sc=0.0) : ptrs(v),range(b,e),score(sc) {}
|
|
|
|
size_t begin() const {
|
|
return range.GetStartPos();
|
|
}
|
|
size_t end() const {
|
|
return range.GetEndPos();
|
|
}
|
|
float GetScore() const {
|
|
return score;
|
|
}
|
|
|
|
};
|
|
|
|
std::ostream& operator<<(std::ostream& out,const State& s)
|
|
{
|
|
out<<"["<<s.ptrs.size()<<" ("<<s.begin()<<","<<s.end()<<") "<<s.GetScore()<<"]";
|
|
|
|
return out;
|
|
}
|
|
|
|
typedef std::map<mPhrase,float> E2Costs;
|
|
|
|
|
|
struct GCData {
|
|
const std::vector<PhraseDictionaryTree const*>& pdicts;
|
|
const std::vector<std::vector<float> >& weights;
|
|
std::vector<FactorType> inF,outF;
|
|
size_t distinctOutputFactors;
|
|
vPPtr root;
|
|
size_t totalTuples,distinctTuples;
|
|
|
|
|
|
GCData(const std::vector<PhraseDictionaryTree const*>& a,
|
|
const std::vector<std::vector<float> >& b)
|
|
: pdicts(a),weights(b),totalTuples(0),distinctTuples(0) {
|
|
|
|
CHECK(pdicts.size()==weights.size());
|
|
std::set<FactorType> distinctOutFset;
|
|
inF.resize(pdicts.size());
|
|
outF.resize(pdicts.size());
|
|
root.resize(pdicts.size());
|
|
for(size_t i=0; i<pdicts.size(); ++i) {
|
|
root[i]=pdicts[i]->GetRoot();
|
|
inF[i]=pdicts[i]->GetInputFactorType();
|
|
outF[i]=pdicts[i]->GetOutputFactorType();
|
|
distinctOutFset.insert(pdicts[i]->GetOutputFactorType());
|
|
}
|
|
distinctOutputFactors=distinctOutFset.size();
|
|
}
|
|
|
|
FactorType OutFT(size_t i) const {
|
|
return outF[i];
|
|
}
|
|
FactorType InFT(size_t i) const {
|
|
return inF[i];
|
|
}
|
|
size_t DistinctOutFactors() const {
|
|
return distinctOutputFactors;
|
|
}
|
|
|
|
const vPPtr& GetRoot() const {
|
|
return root;
|
|
}
|
|
|
|
};
|
|
|
|
typedef std::vector<Factor const*> vFactor;
|
|
typedef std::vector<std::pair<float,vFactor> > TgtCandList;
|
|
|
|
typedef std::vector<TgtCandList> OutputFactor2TgtCandList;
|
|
typedef std::vector<OutputFactor2TgtCandList*> Len2Cands;
|
|
|
|
void GeneratePerFactorTgtList(size_t factorType,PPtr pptr,GCData& data,Len2Cands& len2cands)
|
|
{
|
|
std::vector<FactorTgtCand> cands;
|
|
data.pdicts[factorType]->GetTargetCandidates(pptr,cands);
|
|
|
|
for(std::vector<FactorTgtCand>::const_iterator cand=cands.begin(); cand!=cands.end(); ++cand) {
|
|
CHECK(data.weights[factorType].size()==cand->second.size());
|
|
float costs=std::inner_product(data.weights[factorType].begin(),
|
|
data.weights[factorType].end(),
|
|
cand->second.begin(),
|
|
0.0);
|
|
|
|
size_t len=cand->first.size();
|
|
if(len>=len2cands.size()) len2cands.resize(len+1,0);
|
|
if(!len2cands[len]) len2cands[len]=new OutputFactor2TgtCandList(data.DistinctOutFactors());
|
|
OutputFactor2TgtCandList &outf2tcandlist=*len2cands[len];
|
|
|
|
outf2tcandlist[data.OutFT(factorType)].push_back(std::make_pair(costs,cand->first));
|
|
}
|
|
}
|
|
|
|
void GenerateTupleTgtCands(OutputFactor2TgtCandList& tCand,E2Costs& e2costs,GCData& data)
|
|
{
|
|
// check if candidates are non-empty
|
|
bool gotCands=1;
|
|
for(size_t j=0; gotCands && j<tCand.size(); ++j)
|
|
gotCands &= !tCand[j].empty();
|
|
|
|
if(gotCands) {
|
|
// enumerate tuples
|
|
CHECK(data.DistinctOutFactors()==tCand.size());
|
|
std::vector<unsigned> radix(data.DistinctOutFactors());
|
|
for(size_t i=0; i<tCand.size(); ++i) radix[i]=tCand[i].size();
|
|
|
|
unsigned *tuples=0;
|
|
size_t numTuples=GenerateTuples(radix.size(),&radix[0],tuples);
|
|
|
|
data.totalTuples+=numTuples;
|
|
|
|
for(size_t i=0; i<numTuples; ++i) {
|
|
mPhrase e(radix.size());
|
|
float costs=0.0;
|
|
for(size_t j=0; j<radix.size(); ++j) {
|
|
CHECK(tuples[radix.size()*i+j]<tCand[j].size());
|
|
std::pair<float,vFactor> const& mycand=tCand[j][tuples[radix.size()*i+j]];
|
|
e[j]=mycand.second;
|
|
costs+=mycand.first;
|
|
}
|
|
#ifdef DEBUG
|
|
bool mismatch=0;
|
|
for(size_t j=1; !mismatch && j<e.size(); ++j)
|
|
if(e[j].size()!=e[j-1].size()) mismatch=1;
|
|
CHECK(mismatch==0);
|
|
#endif
|
|
std::pair<E2Costs::iterator,bool> p=e2costs.insert(std::make_pair(e,costs));
|
|
if(p.second) ++data.distinctTuples;
|
|
else {
|
|
// entry known, take min of costs, alternative: sum probs
|
|
if(costs<p.first->second) p.first->second=costs;
|
|
}
|
|
}
|
|
delete [] tuples;
|
|
}
|
|
}
|
|
|
|
void GenerateCandidates_(E2Costs& e2costs,const vPPtr& nextP,GCData& data)
|
|
{
|
|
Len2Cands len2cands;
|
|
// generate candidates for each element of nextP:
|
|
for(size_t factorType=0; factorType<nextP.size(); ++factorType)
|
|
if(nextP[factorType])
|
|
GeneratePerFactorTgtList(factorType,nextP[factorType],data,len2cands);
|
|
|
|
// for each length: enumerate tuples, compute score, and insert in e2costs
|
|
for(size_t len=0; len<len2cands.size(); ++len) if(len2cands[len])
|
|
GenerateTupleTgtCands(*len2cands[len],e2costs,data);
|
|
}
|
|
|
|
void GenerateCandidates(const ConfusionNet& src,
|
|
const std::vector<PhraseDictionaryTree const*>& pdicts,
|
|
const std::vector<std::vector<float> >& weights,
|
|
int verbose)
|
|
{
|
|
GCData data(pdicts,weights);
|
|
|
|
std::vector<State> stack;
|
|
for(size_t i=0; i<src.GetSize(); ++i) stack.push_back(State(i,i,data.GetRoot()));
|
|
|
|
std::map<WordsRange,E2Costs> cov2E;
|
|
|
|
// std::cerr<<"start while loop. initial stack size: "<<stack.size()<<"\n";
|
|
|
|
while(!stack.empty()) {
|
|
State curr(stack.back());
|
|
stack.pop_back();
|
|
|
|
//std::cerr<<"processing state "<<curr<<" stack size: "<<stack.size()<<"\n";
|
|
|
|
CHECK(curr.end()<src.GetSize());
|
|
const ConfusionNet::Column &currCol=src[curr.end()];
|
|
for(size_t colidx=0; colidx<currCol.size(); ++colidx) {
|
|
const Word& w=currCol[colidx].first;
|
|
vPPtr nextP(curr.ptrs);
|
|
for(size_t j=0; j<nextP.size(); ++j)
|
|
nextP[j]=pdicts[j]->Extend(nextP[j],
|
|
w.GetFactor(data.InFT(j))->GetString());
|
|
|
|
bool valid=1;
|
|
for(size_t j=0; j<nextP.size(); ++j) if(!nextP[j]) {
|
|
valid=0;
|
|
break;
|
|
}
|
|
|
|
if(valid) {
|
|
if(curr.end()+1<src.GetSize())
|
|
stack.push_back(State(curr.begin(),curr.end()+1,nextP,
|
|
curr.GetScore()+currCol[colidx].second));
|
|
|
|
E2Costs &e2costs=cov2E[WordsRange(curr.begin(),curr.end()+1)];
|
|
GenerateCandidates_(e2costs,nextP,data);
|
|
}
|
|
}
|
|
|
|
// check if there are translations of one-word phrases ...
|
|
//if(curr.begin()==curr.end() && tCand.empty()) {}
|
|
|
|
} // end while(!stack.empty())
|
|
|
|
if(verbose) {
|
|
// print statistics for debugging purposes
|
|
std::cerr<<"tuple stats: total: "<<data.totalTuples
|
|
<<" distinct: "<<data.distinctTuples<<" ("
|
|
<<(data.distinctTuples/(0.01*data.totalTuples))
|
|
<<"%)\n";
|
|
std::cerr<<"per coverage set:\n";
|
|
for(std::map<WordsRange,E2Costs>::const_iterator i=cov2E.begin();
|
|
i!=cov2E.end(); ++i) {
|
|
std::cerr<<i->first<<" -- distinct cands: "
|
|
<<i->second.size()<<"\n";
|
|
}
|
|
std::cerr<<"\n\n";
|
|
}
|
|
|
|
if(verbose>10) {
|
|
std::cerr<<"full list:\n";
|
|
for(std::map<WordsRange,E2Costs>::const_iterator i=cov2E.begin();
|
|
i!=cov2E.end(); ++i) {
|
|
std::cerr<<i->first<<" -- distinct cands: "
|
|
<<i->second.size()<<"\n";
|
|
for(E2Costs::const_iterator j=i->second.begin(); j!=i->second.end(); ++j)
|
|
std::cerr<<j->first<<" -- "<<j->second<<"\n";
|
|
}
|
|
}
|
|
}
|
|
|
|
#else
|
|
|
|
void GenerateCandidates(const ConfusionNet&,
|
|
const std::vector<PhraseDictionaryTree const*>&,
|
|
const std::vector<std::vector<float> >&,
|
|
int)
|
|
{
|
|
std::cerr<<"ERROR: GenerateCandidates is currently broken\n";
|
|
}
|
|
|
|
#endif
|