diff options
| author | Patrick Simianer <p@simianer.de> | 2011-10-20 02:31:25 +0200 |
|---|---|---|
| committer | Patrick Simianer <p@simianer.de> | 2011-10-20 02:31:25 +0200 |
| commit | 92e48b652530d2d2bb4f2694501f95a60d727cb2 (patch) | |
| tree | b484bd0c4216525690de8b14fb654c9581a300c2 /mteval | |
| parent | 0e70073cec6cdcafaf60d4fbcbd1adf82ae21c8e (diff) | |
| parent | 082b6c77e0703ccd1c85947828c33d4b0eef20f0 (diff) | |
finalized merge
Diffstat (limited to 'mteval')
| -rw-r--r-- | mteval/mbr_kbest.cc | 4 | ||||
| -rw-r--r-- | mteval/scorer.cc | 12 |
2 files changed, 12 insertions, 4 deletions
diff --git a/mteval/mbr_kbest.cc b/mteval/mbr_kbest.cc index 2867b36b..64a6a8bf 100644 --- a/mteval/mbr_kbest.cc +++ b/mteval/mbr_kbest.cc @@ -32,7 +32,7 @@ void InitCommandLine(int argc, char** argv, po::variables_map* conf) { } struct LossComparer { - bool operator()(const pair<vector<WordID>, double>& a, const pair<vector<WordID>, double>& b) const { + bool operator()(const pair<vector<WordID>, prob_t>& a, const pair<vector<WordID>, prob_t>& b) const { return a.second < b.second; } }; @@ -108,7 +108,7 @@ int main(int argc, char** argv) { ScoreP s = scorer->ScoreCandidate(list[j].first); double loss = 1.0 - s->ComputeScore(); if (type == TER || type == AER) loss = 1.0 - loss; - double weighted_loss = loss * (joints[j] / marginal); + double weighted_loss = loss * (joints[j] / marginal).as_float(); wl_acc += weighted_loss; if ((!output_list) && wl_acc > mbr_loss) break; } diff --git a/mteval/scorer.cc b/mteval/scorer.cc index 2daa0daa..a83b9e2f 100644 --- a/mteval/scorer.cc +++ b/mteval/scorer.cc @@ -430,6 +430,7 @@ float BLEUScore::ComputeScore(vector<float>* precs, float* bp) const { float log_bleu = 0; if (precs) precs->clear(); int count = 0; + vector<float> total_precs(N()); for (int i = 0; i < N(); ++i) { if (hyp_ngram_counts[i] > 0) { float cor_count = correct_ngram_hit_counts[i]; @@ -440,14 +441,21 @@ float BLEUScore::ComputeScore(vector<float>* precs, float* bp) const { log_bleu += lprec; ++count; } + total_precs[i] = log_bleu; } - log_bleu /= static_cast<float>(count); + vector<float> bleus(N()); float lbp = 0.0; if (hyp_len < ref_len) lbp = (hyp_len - ref_len) / hyp_len; log_bleu += lbp; if (bp) *bp = exp(lbp); - return exp(log_bleu); + float wb = 0; + for (int i = 0; i < N(); ++i) { + bleus[i] = exp(total_precs[i] / (i+1) + lbp); + wb += bleus[i] / pow(2.0, 4.0 - i); + } + //return wb; + return bleus.back(); } |