mosesdecoder/moses/WordLattice.cpp

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#include <map>
#include "StaticData.h"
#include "WordLattice.h"
#include "PCNTools.h"
#include "Util.h"
#include "FloydWarshall.h"
#include "TranslationOptionCollectionLattice.h"
#include "TranslationOptionCollectionConfusionNet.h"
#include "moses/FF/InputFeature.h"
namespace Moses
{
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WordLattice::WordLattice()
{
UTIL_THROW_IF2(&InputFeature::Instance() == NULL,
"Input feature must be specified");
}
size_t WordLattice::GetColumnIncrement(size_t i, size_t j) const
{
return next_nodes[i][j];
}
void WordLattice::Print(std::ostream& out) const
{
out<<"word lattice: "<<data.size()<<"\n";
for(size_t i=0; i<data.size(); ++i) {
out<<i<<" -- ";
for(size_t j=0; j<data[i].size(); ++j) {
out<<"("<<data[i][j].first.ToString()<<", ";
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// dense
std::vector<float>::const_iterator iterDense;
for(iterDense = data[i][j].second.denseScores.begin(); iterDense < data[i][j].second.denseScores.end(); ++iterDense) {
out<<", "<<*iterDense;
}
// sparse
std::map<StringPiece, float>::const_iterator iterSparse;
for(iterSparse = data[i][j].second.sparseScores.begin(); iterSparse != data[i][j].second.sparseScores.end(); ++iterSparse) {
out << ", " << iterSparse->first << "=" << iterSparse->second;
}
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out << GetColumnIncrement(i,j) << ") ";
}
out<<"\n";
}
out<<"\n\n";
}
int WordLattice::InitializeFromPCNDataType(const PCN::CN& cn, const std::vector<FactorType>& factorOrder, const std::string& debug_line)
{
const StaticData &staticData = StaticData::Instance();
const InputFeature &inputFeature = InputFeature::Instance();
size_t numInputScores = inputFeature.GetNumInputScores();
size_t numRealWordCount = inputFeature.GetNumRealWordsInInput();
size_t maxSizePhrase = StaticData::Instance().GetMaxPhraseLength();
bool addRealWordCount = (numRealWordCount > 0);
//when we have one more weight than params, we add a word count feature
data.resize(cn.size());
next_nodes.resize(cn.size());
for(size_t i=0; i<cn.size(); ++i) {
const PCN::CNCol& col = cn[i];
if (col.empty()) return false;
data[i].resize(col.size());
next_nodes[i].resize(col.size());
for (size_t j=0; j<col.size(); ++j) {
const PCN::CNAlt& alt = col[j];
//check for correct number of link parameters
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if (alt.m_denseFeatures.size() != numInputScores) {
TRACE_ERR("ERROR: need " << numInputScores << " link parameters, found " << alt.m_denseFeatures.size() << " while reading column " << i << " from " << debug_line << "\n");
return false;
}
//check each element for bounds
std::vector<float>::const_iterator probsIterator;
data[i][j].second = std::vector<float>(0);
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for(probsIterator = alt.m_denseFeatures.begin(); probsIterator < alt.m_denseFeatures.end(); probsIterator++) {
IFVERBOSE(1) {
if (*probsIterator < 0.0f) {
TRACE_ERR("WARN: neg probability: " << *probsIterator << "\n");
//*probsIterator = 0.0f;
}
if (*probsIterator > 1.0f) {
TRACE_ERR("WARN: probability > 1: " << *probsIterator << "\n");
//*probsIterator = 1.0f;
}
}
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float score = std::max(static_cast<float>(log(*probsIterator)), LOWEST_SCORE);
ScorePair &scorePair = data[i][j].second;
scorePair.denseScores.push_back(score);
}
//store 'real' word count in last feature if we have one more weight than we do arc scores and not epsilon
if (addRealWordCount) {
//only add count if not epsilon
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float value = (alt.m_word=="" || alt.m_word==EPSILON) ? 0.0f : -1.0f;
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data[i][j].second.denseScores.push_back(value);
}
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String2Word(alt.m_word, data[i][j]. first, factorOrder);
next_nodes[i][j] = alt.m_next;
if(next_nodes[i][j] > maxSizePhrase) {
TRACE_ERR("ERROR: Jump length " << next_nodes[i][j] << " in word lattice exceeds maximum phrase length " << maxSizePhrase << ".\n");
TRACE_ERR("ERROR: Increase max-phrase-length to process this lattice.\n");
return false;
}
}
}
if (!cn.empty()) {
std::vector<std::vector<bool> > edges(0);
this->GetAsEdgeMatrix(edges);
floyd_warshall(edges,distances);
IFVERBOSE(2) {
TRACE_ERR("Shortest paths:\n");
for (size_t i=0; i<edges.size(); ++i) {
for (size_t j=0; j<edges.size(); ++j) {
int d = distances[i][j];
if (d > 99999) {
d=-1;
}
TRACE_ERR("\t" << d);
}
TRACE_ERR("\n");
}
}
}
return !cn.empty();
}
int WordLattice::Read(std::istream& in,const std::vector<FactorType>& factorOrder)
{
Clear();
std::string line;
if(!getline(in,line)) return 0;
std::map<std::string, std::string> meta=ProcessAndStripSGML(line);
if (meta.find("id") != meta.end()) {
this->SetTranslationId(atol(meta["id"].c_str()));
}
PCN::CN cn = PCN::parsePCN(line);
return InitializeFromPCNDataType(cn, factorOrder, line);
}
void WordLattice::GetAsEdgeMatrix(std::vector<std::vector<bool> >& edges) const
{
edges.resize(data.size()+1,std::vector<bool>(data.size()+1, false));
for (size_t i=0; i<data.size(); ++i) {
for (size_t j=0; j<data[i].size(); ++j) {
edges[i][i+next_nodes[i][j]] = true;
}
}
}
int WordLattice::ComputeDistortionDistance(const WordsRange& prev, const WordsRange& current) const
{
int result;
if (prev.GetStartPos() == NOT_FOUND && current.GetStartPos() == 0) {
result = 0;
VERBOSE(4, "Word lattice distortion: monotonic initial step\n");
} else if (prev.GetEndPos()+1 == current.GetStartPos()) {
result = 0;
VERBOSE(4, "Word lattice distortion: monotonic step from " << prev.GetEndPos() << " to " << current.GetStartPos() << "\n");
} else if (prev.GetStartPos() == NOT_FOUND) {
result = distances[0][current.GetStartPos()];
VERBOSE(4, "Word lattice distortion: initial step from 0 to " << current.GetStartPos() << " of length " << result << "\n");
if (result < 0 || result > 99999) {
TRACE_ERR("prev: " << prev << "\ncurrent: " << current << "\n");
TRACE_ERR("A: got a weird distance from 0 to " << (current.GetStartPos()+1) << " of " << result << "\n");
}
} else if (prev.GetEndPos() > current.GetStartPos()) {
result = distances[current.GetStartPos()][prev.GetEndPos() + 1];
VERBOSE(4, "Word lattice distortion: backward step from " << (prev.GetEndPos()+1) << " to " << current.GetStartPos() << " of length " << result << "\n");
if (result < 0 || result > 99999) {
TRACE_ERR("prev: " << prev << "\ncurrent: " << current << "\n");
TRACE_ERR("B: got a weird distance from "<< current.GetStartPos() << " to " << prev.GetEndPos()+1 << " of " << result << "\n");
}
} else {
result = distances[prev.GetEndPos() + 1][current.GetStartPos()];
VERBOSE(4, "Word lattice distortion: forward step from " << (prev.GetEndPos()+1) << " to " << current.GetStartPos() << " of length " << result << "\n");
if (result < 0 || result > 99999) {
TRACE_ERR("prev: " << prev << "\ncurrent: " << current << "\n");
TRACE_ERR("C: got a weird distance from "<< prev.GetEndPos()+1 << " to " << current.GetStartPos() << " of " << result << "\n");
}
}
return result;
}
bool WordLattice::CanIGetFromAToB(size_t start, size_t end) const
{
// std::cerr << "CanIgetFromAToB(" << start << "," << end << ")=" << distances[start][end] << std::endl;
return distances[start][end] < 100000;
}
TranslationOptionCollection*
WordLattice::CreateTranslationOptionCollection() const
{
size_t maxNoTransOptPerCoverage = StaticData::Instance().GetMaxNoTransOptPerCoverage();
float translationOptionThreshold = StaticData::Instance().GetTranslationOptionThreshold();
TranslationOptionCollection *rv = NULL;
//rv = new TranslationOptionCollectionConfusionNet(*this, maxNoTransOptPerCoverage, translationOptionThreshold);
if (StaticData::Instance().GetUseLegacyPT()) {
rv = new TranslationOptionCollectionConfusionNet(*this, maxNoTransOptPerCoverage, translationOptionThreshold);
}
else {
rv = new TranslationOptionCollectionLattice(*this, maxNoTransOptPerCoverage, translationOptionThreshold);
}
assert(rv);
return rv;
}
std::ostream& operator<<(std::ostream &out, const WordLattice &obj)
{
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out << "next_nodes=";
for (size_t i = 0; i < obj.next_nodes.size(); ++i) {
out << i << ":";
const std::vector<size_t> &inner = obj.next_nodes[i];
for (size_t j = 0; j < inner.size(); ++j) {
out << inner[j] << " ";
}
}
out << "distances=";
for (size_t i = 0; i < obj.distances.size(); ++i) {
out << i << ":";
const std::vector<int> &inner = obj.distances[i];
for (size_t j = 0; j < inner.size(); ++j) {
out << inner[j] << " ";
}
}
return out;
}
} // namespace