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#ifndef _DTRAIN_SCORE_H_
#define _DTRAIN_SCORE_H_
#include <iostream>
#include <vector>
#include <map>
#include <cassert>
#include <cmath>
#include "wordid.h" // cdec
using namespace std;
namespace dtrain
{
typedef double score_t; // float
struct NgramCounts
{
size_t N_;
map<size_t, size_t> clipped;
map<size_t, size_t> sum;
NgramCounts(const size_t N) : N_(N) { reset(); }
void
operator+=(const NgramCounts& rhs)
{
assert(N_ == rhs.N_);
for (size_t i = 0; i < N_; i++) {
this->clipped[i] += rhs.clipped.find(i)->second;
this->sum[i] += rhs.sum.find(i)->second;
}
}
const NgramCounts
operator+(const NgramCounts &other) const
{
NgramCounts result = *this;
result += other;
return result;
}
void
add(size_t count, size_t ref_count, size_t i)
{
assert(i < N_);
if (count > ref_count) {
clipped[i] += ref_count;
sum[i] += count;
} else {
clipped[i] += count;
sum[i] += count;
}
}
void
reset()
{
size_t i;
for (i = 0; i < N_; i++) {
clipped[i] = 0;
sum[i] = 0;
}
}
void
print()
{
for (size_t i = 0; i < N_; i++) {
cout << i+1 << "grams (clipped):\t" << clipped[i] << endl;
cout << i+1 << "grams:\t\t\t" << sum[i] << endl;
}
}
};
typedef map<vector<WordID>, size_t> Ngrams;
Ngrams make_ngrams(vector<WordID>& s, size_t N);
NgramCounts make_ngram_counts(vector<WordID> hyp, vector<WordID> ref, size_t N);
score_t brevity_penaly(const size_t hyp_len, const size_t ref_len);
score_t bleu(NgramCounts& counts, const size_t hyp_len, const size_t ref_len, const size_t N,
vector<score_t> weights = vector<score_t>());
score_t stupid_bleu(NgramCounts& counts, const size_t hyp_len, const size_t ref_len, size_t N,
vector<score_t> weights = vector<score_t>());
score_t smooth_bleu(NgramCounts& counts, const size_t hyp_len, const size_t ref_len, const size_t N,
vector<score_t> weights = vector<score_t>());
score_t approx_bleu(NgramCounts& counts, const size_t hyp_len, const size_t ref_len, const size_t N,
vector<score_t> weights = vector<score_t>());
} // namespace
#endif
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