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authorChris Dyer <cdyer@allegro.clab.cs.cmu.edu>2014-03-19 21:02:51 -0400
committerChris Dyer <cdyer@allegro.clab.cs.cmu.edu>2014-03-19 21:02:51 -0400
commita1ff38d3427cf0892c3ea174da6939c8aea908bc (patch)
tree4e1f9bddab8d893f8a77a2943d2a87144ea7b965 /training/mira/kbest_cut_mira.cc
parentaeae0ee8ec2369b7b2ce5972fca74749ded7b229 (diff)
fix comment
Diffstat (limited to 'training/mira/kbest_cut_mira.cc')
-rw-r--r--training/mira/kbest_cut_mira.cc61
1 files changed, 26 insertions, 35 deletions
diff --git a/training/mira/kbest_cut_mira.cc b/training/mira/kbest_cut_mira.cc
index 1a6415be..56206593 100644
--- a/training/mira/kbest_cut_mira.cc
+++ b/training/mira/kbest_cut_mira.cc
@@ -340,23 +340,22 @@ struct BasicObserver: public DecoderObserver {
};
struct TrainingObserver : public DecoderObserver {
- TrainingObserver(const int k, const DocScorer& d, vector<GoodBadOracle>* o, vector<ScoreP>* cbs) : ds(d), oracles(*o), corpus_bleu_sent_stats(*cbs), kbest_size(k) {
-
-
- if(!pseudo_doc && !sent_approx)
- if(cur_pass > 0) //calculate corpus bleu score from previous iterations 1-best for BLEU gain
- {
- ScoreP acc;
- for (int ii = 0; ii < corpus_bleu_sent_stats.size(); ii++) {
- if (!acc) { acc = corpus_bleu_sent_stats[ii]->GetZero(); }
- acc->PlusEquals(*corpus_bleu_sent_stats[ii]);
-
- }
- corpus_bleu_stats = acc;
- corpus_bleu_score = acc->ComputeScore();
+ TrainingObserver(const int k,
+ const DocScorer& d,
+ vector<GoodBadOracle>* o,
+ vector<ScoreP>* cbs) : ds(d), oracles(*o), corpus_bleu_sent_stats(*cbs), kbest_size(k) {
+ if(!pseudo_doc && !sent_approx) {
+ if(cur_pass > 0) { //calculate corpus bleu score from previous iterations 1-best for BLEU gain
+ ScoreP acc;
+ for (int ii = 0; ii < corpus_bleu_sent_stats.size(); ii++) {
+ if (!acc) { acc = corpus_bleu_sent_stats[ii]->GetZero(); }
+ acc->PlusEquals(*corpus_bleu_sent_stats[ii]);
+ }
+ corpus_bleu_stats = acc;
+ corpus_bleu_score = acc->ComputeScore();
}
-
-}
+ }
+ }
const DocScorer& ds;
vector<ScoreP>& corpus_bleu_sent_stats;
vector<GoodBadOracle>& oracles;
@@ -460,7 +459,6 @@ struct TrainingObserver : public DecoderObserver {
}
else //use sentence-level smoothing ( used when cur_pass=0 if not pseudo_doc)
{
-
sentscore = mt_metric_scale * (ds[sent_id]->ScoreCandidate(d->yield)->ComputeScore());
}
@@ -574,19 +572,15 @@ void ReadTrainingCorpus(const string& fname, vector<string>* c) {
}
}
-void ReadPastTranslationForScore(const int cur_pass, vector<ScoreP>* c, DocScorer& ds, const string& od)
-{
- cerr << "Reading BLEU gain file ";
+void ReadPastTranslationForScore(const int cur_pass, vector<ScoreP>* c, DocScorer& ds, const string& od) {
+ cerr << "Reading previous score file ";
string fname;
- if(cur_pass == 0)
- {
- fname = od + "/run.raw.init";
- }
- else
- {
- int last_pass = cur_pass - 1;
- fname = od + "/run.raw." + boost::lexical_cast<std::string>(last_pass) + ".B";
- }
+ if (cur_pass == 0) {
+ fname = od + "/run.raw.init";
+ } else {
+ int last_pass = cur_pass - 1;
+ fname = od + "/run.raw." + boost::lexical_cast<std::string>(last_pass) + ".B";
+ }
cerr << fname << "\n";
ReadFile rf(fname);
istream& in = *rf.stream();
@@ -603,7 +597,6 @@ void ReadPastTranslationForScore(const int cur_pass, vector<ScoreP>* c, DocScore
if (!acc) { acc = sentscore->GetZero(); }
acc->PlusEquals(*sentscore);
++lc;
-
}
assert(lc > 0);
@@ -611,7 +604,6 @@ void ReadPastTranslationForScore(const int cur_pass, vector<ScoreP>* c, DocScore
string details;
acc->ScoreDetails(&details);
cerr << "Previous run: " << details << score << endl;
-
}
@@ -670,10 +662,9 @@ int main(int argc, char** argv) {
//check training pass,if >0, then use previous iterations corpus bleu stats
cur_pass = stream ? 0 : conf["pass"].as<int>();
- if(cur_pass > 0)
- {
- ReadPastTranslationForScore(cur_pass, &corpus_bleu_sent_stats, *ds, output_dir);
- }
+ if(cur_pass > 0) {
+ ReadPastTranslationForScore(cur_pass, &corpus_bleu_sent_stats, *ds, output_dir);
+ }
cerr << "Using optimizer:" << optimizer << endl;