void Data::loadNBest(const string &file)
{
TRACE_ERR("loading nbest from " << file << endl);
inputfilestream inp(file); // matches a stream with a file. Opens the file
if (!inp.good())
throw runtime_error("Unable to open: " + file);
ScoreStats scoreentry;
string line, sentence_index, sentence, feature_str;
while (getline(inp, line, '\n')) {
if (line.empty()) continue;
// adding statistics for error measures
scoreentry.clear();
getNextPound(line, sentence_index, "|||"); // first field
getNextPound(line, sentence, "|||"); // second field
getNextPound(line, feature_str, "|||"); // third field
m_scorer->prepareStats(sentence_index, sentence, scoreentry);
m_score_data->add(scoreentry, sentence_index);
// examine first line for name of features
if (!existsFeatureNames()) {
InitFeatureMap(feature_str);
}
AddFeatures(feature_str, sentence_index);
}
inp.close();
}
void Data::loadNBest(const string &file, bool oneBest)
{
TRACE_ERR("loading nbest from " << file << endl);
util::FilePiece in(file.c_str());
ScoreStats scoreentry;
string sentence, feature_str, alignment;
int sentence_index;
while (true) {
try {
StringPiece line = in.ReadLine();
if (line.empty()) continue;
// adding statistics for error measures
scoreentry.clear();
util::TokenIter<util::MultiCharacter> it(line, util::MultiCharacter("|||"));
sentence_index = ParseInt(*it);
if (oneBest && m_score_data->exists(sentence_index)) continue;
++it;
sentence = it->as_string();
++it;
feature_str = it->as_string();
++it;
if (it) {
++it; // skip model score.
if (it) {
alignment = it->as_string(); //fifth field (if present) is either phrase or word alignment
++it;
if (it) {
alignment = it->as_string(); //sixth field (if present) is word alignment
}
}
}
//TODO check alignment exists if scorers need it
if (m_scorer->useAlignment()) {
sentence += "|||";
sentence += alignment;
}
m_scorer->prepareStats(sentence_index, sentence, scoreentry);
m_score_data->add(scoreentry, sentence_index);
// examine first line for name of features
if (!existsFeatureNames()) {
InitFeatureMap(feature_str);
}
AddFeatures(feature_str, sentence_index);
} catch (util::EndOfFileException &e) {
PrintUserTime("Loaded N-best lists");
break;
}
}
}
void Data::loadnbest(const std::string &file)
{
TRACE_ERR("loading nbest from " << file << std::endl);
FeatureStats featentry;
ScoreStats scoreentry;
std::string sentence_index;
inputfilestream inp(file); // matches a stream with a file. Opens the file
if (!inp.good())
throw runtime_error("Unable to open: " + file);
std::string substring, subsubstring, stringBuf;
std::string theSentence;
std::string::size_type loc;
while (getline(inp,stringBuf,'\n')) {
if (stringBuf.empty()) continue;
// TRACE_ERR("stringBuf: " << stringBuf << std::endl);
getNextPound(stringBuf, substring, "|||"); //first field
sentence_index = substring;
getNextPound(stringBuf, substring, "|||"); //second field
theSentence = substring;
// adding statistics for error measures
featentry.reset();
scoreentry.clear();
theScorer->prepareStats(sentence_index, theSentence, scoreentry);
scoredata->add(scoreentry, sentence_index);
getNextPound(stringBuf, substring, "|||"); //third field
// examine first line for name of features
if (!existsFeatureNames()) {
std::string stringsupport=substring;
std::string features="";
std::string tmpname="";
size_t tmpidx=0;
while (!stringsupport.empty()) {
// TRACE_ERR("Decompounding: " << substring << std::endl);
getNextPound(stringsupport, subsubstring);
// string ending with ":" are skipped, because they are the names of the features
if ((loc = subsubstring.find_last_of(":")) != subsubstring.length()-1) {
features+=tmpname+"_"+stringify(tmpidx)+" ";
tmpidx++;
}
// ignore sparse feature name
else if (subsubstring.find("_") != string::npos) {
// also ignore its value
getNextPound(stringsupport, subsubstring);
}
// update current feature name
else {
tmpidx=0;
tmpname=subsubstring.substr(0,subsubstring.size() - 1);
}
}
featdata->setFeatureMap(features);
}
// adding features
while (!substring.empty()) {
// TRACE_ERR("Decompounding: " << substring << std::endl);
getNextPound(substring, subsubstring);
// no ':' -> feature value that needs to be stored
if ((loc = subsubstring.find_last_of(":")) != subsubstring.length()-1) {
featentry.add(ATOFST(subsubstring.c_str()));
}
// sparse feature name? store as well
else if (subsubstring.find("_") != string::npos) {
std::string name = subsubstring;
getNextPound(substring, subsubstring);
featentry.addSparse( name, atof(subsubstring.c_str()) );
_sparse_flag = true;
}
}
//cerr << "number of sparse features: " << featentry.getSparse().size() << endl;
featdata->add(featentry,sentence_index);
}
inp.close();
}
void DataAsiya::loadNBest(const string &file)
{
TRACE_ERR("loading nbest from DataAsiya " << file << endl);
inputfilestream inp(file); // matches a stream with a file. Opens the file
if (!inp.good())
throw runtime_error("Unable to open: " + file);
ScoreStats scoreentry;
string line, sentence_index, sentence, feature_str, alignment;
AsiyaScorer* a_scorer = dynamic_cast<AsiyaScorer*>(m_scorer);
/*todo. change this loop. instead of obtaining the score for each sentence, obtain all the scores at once!*/
while (getline(inp, line, '\n')) {
if (line.empty()) continue;
// adding statistics for error measures
scoreentry.clear();
getNextPound(line, sentence_index, "|||"); // first field
getNextPound(line, sentence, "|||"); // second field
getNextPound(line, feature_str, "|||"); // third field
if (line.length() > 0) {
string temp;
getNextPound(line, temp, "|||"); //fourth field sentence score
if (line.length() > 0) {
getNextPound(line, alignment, "|||"); //fourth field only there if alignment scorer
}
}
//TODO check alignment exists if scorers need it
if (a_scorer->useAlignment()) {
sentence += "|||";
sentence += alignment;
}
// prepare stats gets all the scores for sentence_i of sentence_index
// a_scorer->addCandidateSentence(sentence_index, sentence);
a_scorer->prepareStats(atoi(sentence_index.c_str()), sentence, scoreentry);
// examine first line for name of features
if (!existsFeatureNames()) {
InitFeatureMap(feature_str);
}
AddFeatures(feature_str, atoi(sentence_index.c_str()));
}
a_scorer->doScoring();
// TRACE_ERR("before getAllScoreStats" << endl);
std::vector<std::vector <ScoreStats> > allScoreStats = a_scorer->getAllScoreStats();
for (int i = 0; i < allScoreStats.size(); ++i)
for(int j = 0; j < allScoreStats[i].size(); ++j)
{
stringstream ss;
ss << i;
m_score_data->add(allScoreStats[i][j], atoi(ss.str().c_str()));
// TRACE_ERR("allScoreStats[" << i << "].size() " << allScoreStats[i].size() << " " << allScoreStats[i][j] << endl);
}
inp.close();
// a_scorer->doScoring( m_score_data );
//score each sentence
//a_scorer->prepareStats(sentence_index, sentence, scoreentry);
// save the score for previous sentence. Do it aling with previous function
//m_score_data->add(scoreentry, sentence_index);
}
