Chain FullMorphologyChainTransformer::ForwardTransform(Chain& chain) const
{
int oldLength = chain.GetSize();
if (oldLength == 0)
{
return chain;
}
// Create tokens
const vector<wstring>& oldTokens = chain.GetTokens();
vector<wstring> tokens(2 * oldLength - 1);
for (size_t nodeIndex = 0; nodeIndex + 1 < oldTokens.size(); ++nodeIndex)
{
tokens[2 * nodeIndex + 1] = L"copy_" + oldTokens[nodeIndex];
tokens[2 * nodeIndex] = std::move(oldTokens[nodeIndex]);
}
// Create labels
const vector<wstring>& oldLabels = chain.GetLabels();
vector<wstring> labels(2 * oldLength - 1);
for (size_t nodeIndex = 0; nodeIndex + 1 < oldLabels.size(); ++nodeIndex)
{
const wstring& fullLabel = oldLabels[nodeIndex];
if (fullLabel.size() > 0)
{
vector<wstring> splitted;
splitted = Tools::Split(fullLabel, L"@");
labels[2 * nodeIndex] = fullLabel;
labels[2 * nodeIndex + 1] = L"POS_" + splitted[0];
}
}
labels[labels.size() - 1] = oldLabels.back();
// Create features
const vector<vector<wstring> >& oldFeatures = chain.GetFeatures();
vector<vector<wstring> > features(2 * oldLength - 1);
for (size_t nodeIndex = 0; nodeIndex + 1 < oldLabels.size(); ++nodeIndex)
{
features[2 * nodeIndex] = oldFeatures[nodeIndex];
features[2 * nodeIndex + 1] = std::move(oldFeatures[nodeIndex]);
}
features[features.size() - 1] = oldFeatures.back();
// Return chain
Chain transformed(
std::move(tokens)
, std::move(features)
, std::move(labels)
, vector<vector<wstring> >());
return transformed;
}
void ChainCollectionTester::Initialize(const string& testSetFile)
{
encodedData_.clear();
decodedData_.clear();
cout << "\nChainCollectionTester: starting reading file..." << std::endl;
size_t enumerator = 0;
wifstream in(testSetFile);
Tools::SetLocale(in);
Chain chain;
// Iterate over file
while(in >> chain)
{
if (chain.GetSize() == 0)
{
break;
}
// Add decoded data
DecodedCRFData decodedDataToAdd;
decodedDataToAdd.labels = chain.GetLabels();
decodedDataToAdd.tokens = chain.GetTokens();
decodedData_.push_back(decodedDataToAdd);
// Add encoded data
EncodedCRFData encodedDataToAdd;
encodedDataToAdd.intLabels = getLabelIndexes(chain);
chain = chainTransformer_->ForwardTransform(chain);
possibleStateFinder_->FindPossibleStates(&chain);
encodedDataToAdd.intFeatures = getFeatureIndexes(chain);
encodedDataToAdd.possibleStates = getPossibleStates(
chain);
encodedData_.push_back(encodedDataToAdd);
// Print status of data downloading
++enumerator;
std::wcout << "\rHave evaluated " << enumerator << " chains...";
if (enumerator > MAX_NUMBER_IN_TEST_SET)
{
break;
}
}
in.close();
printf("\rHave evaluated %lu chains...", decodedData_.size());
printf("\nChainCollectionLearner: end reading file...\n");
}