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#include "ns_wer.h"
#include "tdict.h"
#include "levenshtein.h"
static const unsigned kNUMFIELDS = 2;
static const unsigned kEDITDISTANCE = 0;
static const unsigned kCHARCOUNT = 1;
bool WERMetric::IsErrorMetric() const {
return true;
}
unsigned WERMetric::SufficientStatisticsVectorSize() const {
return 2;
}
void WERMetric::ComputeSufficientStatistics(const std::vector<WordID>& hyp,
const std::vector<std::vector<WordID> >& refs,
SufficientStats* out) const {
out->fields.resize(kNUMFIELDS);
float best_score = 0;
for (size_t i = 0; i < refs.size(); ++i) {
float score = cdec::LevenshteinDistance(hyp, refs[i]);
if (score < best_score || i == 0) {
out->fields[kEDITDISTANCE] = score;
out->fields[kCHARCOUNT] = refs[i].size();
best_score = score;
}
}
}
float WERMetric::ComputeScore(const SufficientStats& stats) const {
return stats.fields[kEDITDISTANCE] / stats.fields[kCHARCOUNT];
}
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