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#include "Scorer.h"
#include <limits>
#include "Vocabulary.h"
#include "Util.h"
#include "Singleton.h"
#include "PreProcessFilter.h"
using namespace std;
Scorer::Scorer(const string& name, const string& config)
: m_name(name),
m_vocab(mert::VocabularyFactory::GetVocabulary()),
m_filter(NULL),
m_score_data(NULL),
m_enable_preserve_case(true) {
InitConfig(config);
}
Scorer::~Scorer() {
Singleton<mert::Vocabulary>::Delete();
delete m_filter;
}
void Scorer::InitConfig(const string& config) {
// cerr << "Scorer config string: " << config << endl;
size_t start = 0;
while (start < config.size()) {
size_t end = config.find(",", start);
if (end == string::npos) {
end = config.size();
}
string nv = config.substr(start, end - start);
size_t split = nv.find(":");
if (split == string::npos) {
throw runtime_error("Missing colon when processing scorer config: " + config);
}
const string name = nv.substr(0, split);
const string value = nv.substr(split + 1, nv.size() - split - 1);
cerr << "name: " << name << " value: " << value << endl;
m_config[name] = value;
start = end + 1;
}
}
void Scorer::TokenizeAndEncode(const string& line, vector<int>& encoded) {
std::istringstream in(line);
std::string token;
while (in >> token) {
if (!m_enable_preserve_case) {
for (std::string::iterator it = token.begin();
it != token.end(); ++it) {
*it = tolower(*it);
}
}
encoded.push_back(m_vocab->Encode(token));
}
}
/**
* Set the factors, which should be used for this metric
*/
void Scorer::setFactors(const string& factors)
{
if (factors.empty()) return;
vector<string> factors_vec;
split(factors, '|', factors_vec);
for(vector<string>::iterator it = factors_vec.begin(); it != factors_vec.end(); ++it)
{
int factor = atoi(it->c_str());
m_factors.push_back(factor);
}
}
/**
* Set unix filter, which will be used to preprocess the sentences
*/
void Scorer::setFilter(const string& filterCommand)
{
if (filterCommand.empty()) return;
m_filter = new PreProcessFilter(filterCommand);
}
/**
* Take the factored sentence and return the desired factors
*/
string Scorer::applyFactors(const string& sentence) const
{
if (m_factors.size() == 0) return sentence;
vector<string> tokens;
split(sentence, ' ', tokens);
stringstream sstream;
for (size_t i = 0; i < tokens.size(); ++i)
{
if (tokens[i] == "") continue;
vector<string> factors;
split(tokens[i], '|', factors);
int fsize = factors.size();
if (i > 0) sstream << " ";
for (size_t j = 0; j < m_factors.size(); ++j)
{
int findex = m_factors[j];
if (findex < 0 || findex >= fsize) throw runtime_error("Factor index is out of range.");
if (j > 0) sstream << "|";
sstream << factors[findex];
}
}
return sstream.str();
}
/**
* Preprocess the sentence with the filter (if given)
*/
string Scorer::applyFilter(const string& sentence) const
{
if (m_filter)
{
return m_filter->ProcessSentence(sentence);
}
else
{
return sentence;
}
}
float Scorer::score(const candidates_t& candidates) const {
diffs_t diffs;
statscores_t scores;
score(candidates, diffs, scores);
return scores[0];
}
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