diff options
author | redpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f> | 2010-08-11 02:37:10 +0000 |
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committer | redpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f> | 2010-08-11 02:37:10 +0000 |
commit | 80686d4e567bae579ea39e009826a2de92cd4ace (patch) | |
tree | c3c35fcba57dde423a248f38aa121ad197c79734 /vest/scorer.cc | |
parent | 3c85c407c333899f6b4bc26632d312b8e568b638 (diff) |
major refactor, break bad circular deps
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@509 ec762483-ff6d-05da-a07a-a48fb63a330f
Diffstat (limited to 'vest/scorer.cc')
-rw-r--r-- | vest/scorer.cc | 708 |
1 files changed, 0 insertions, 708 deletions
diff --git a/vest/scorer.cc b/vest/scorer.cc deleted file mode 100644 index 70fdef34..00000000 --- a/vest/scorer.cc +++ /dev/null @@ -1,708 +0,0 @@ -#include "scorer.h" - -#include <boost/lexical_cast.hpp> -#include <map> -#include <sstream> -#include <iostream> -#include <fstream> -#include <cstdio> -#include <valarray> -#include <algorithm> - -#include <boost/shared_ptr.hpp> - -#include "filelib.h" -#include "aligner.h" -#include "viterbi_envelope.h" -#include "error_surface.h" -#include "ter.h" -#include "aer_scorer.h" -#include "comb_scorer.h" -#include "tdict.h" -#include "stringlib.h" -#include "lattice.h" - - -using boost::shared_ptr; -using namespace std; - -const bool minimize_segments = true; // if adjacent segments have equal scores, merge them - -void Score::TimesEquals(float scale) { - cerr<<"UNIMPLEMENTED except for BLEU (for MIRA): Score::TimesEquals"<<endl;abort(); -} - -ScoreType ScoreTypeFromString(const string& st) { - const string sl = LowercaseString(st); - if (sl == "ser") - return SER; - if (sl == "ter") - return TER; - if (sl == "aer") - return AER; - if (sl == "bleu" || sl == "ibm_bleu") - return IBM_BLEU; - if (sl == "ibm_bleu_3") - return IBM_BLEU_3; - if (sl == "nist_bleu") - return NIST_BLEU; - if (sl == "koehn_bleu") - return Koehn_BLEU; - if (sl == "combi") - return BLEU_minus_TER_over_2; - cerr << "Don't understand score type '" << st << "', defaulting to ibm_bleu.\n"; - return IBM_BLEU; -} - -static char const* score_names[]={ - "IBM_BLEU", "NIST_BLEU", "Koehn_BLEU", "TER", "BLEU_minus_TER_over_2", "SER", "AER", "IBM_BLEU_3" -}; - -std::string StringFromScoreType(ScoreType st) { - assert(st>=0 && st<sizeof(score_names)/sizeof(score_names[0])); - return score_names[(int)st]; -} - - -Score::~Score() {} -SentenceScorer::~SentenceScorer() {} - -struct length_accum { - template <class S> - float operator()(float sum,S const& ref) const { - return sum+ref.size(); - } -}; - -template <class S> -float avg_reflength(vector<S> refs) { - unsigned n=refs.size(); - return n?accumulate(refs.begin(),refs.end(),0.,length_accum())/n:0.; -} - - -float SentenceScorer::ComputeRefLength(const Sentence &hyp) const { - return hyp.size(); // reasonable default? :) -} - -const std::string* SentenceScorer::GetSource() const { return NULL; } - -class SERScore : public ScoreBase<SERScore> { - friend class SERScorer; - public: - SERScore() : correct(0), total(0) {} - float ComputePartialScore() const { return 0.0;} - float ComputeScore() const { - return static_cast<float>(correct) / static_cast<float>(total); - } - void ScoreDetails(string* details) const { - ostringstream os; - os << "SER= " << ComputeScore() << " (" << correct << '/' << total << ')'; - *details = os.str(); - } - void PlusPartialEquals(const Score& /* delta */, int /* oracle_e_cover */, int /* oracle_f_cover */, int /* src_len */){} - - void PlusEquals(const Score& delta, const float scale) { - correct += scale*static_cast<const SERScore&>(delta).correct; - total += scale*static_cast<const SERScore&>(delta).total; - } - void PlusEquals(const Score& delta) { - correct += static_cast<const SERScore&>(delta).correct; - total += static_cast<const SERScore&>(delta).total; - } - ScoreP GetZero() const { return ScoreP(new SERScore); } - ScoreP GetOne() const { return ScoreP(new SERScore); } - void Subtract(const Score& rhs, Score* res) const { - SERScore* r = static_cast<SERScore*>(res); - r->correct = correct - static_cast<const SERScore&>(rhs).correct; - r->total = total - static_cast<const SERScore&>(rhs).total; - } - void Encode(string* out) const { - assert(!"not implemented"); - } - bool IsAdditiveIdentity() const { - return (total == 0 && correct == 0); // correct is always 0 <= n <= total - } - private: - int correct, total; -}; - -std::string SentenceScorer::verbose_desc() const { - return desc+",ref0={ "+TD::GetString(refs[0])+" }"; -} - -class SERScorer : public SentenceScorer { - public: - SERScorer(const vector<vector<WordID> >& references) : SentenceScorer("SERScorer",references),refs_(references) {} - ScoreP ScoreCCandidate(const vector<WordID>& /* hyp */) const { - return ScoreP(); - } - ScoreP ScoreCandidate(const vector<WordID>& hyp) const { - SERScore* res = new SERScore; - res->total = 1; - for (int i = 0; i < refs_.size(); ++i) - if (refs_[i] == hyp) res->correct = 1; - return ScoreP(res); - } - static ScoreP ScoreFromString(const string& data) { - assert(!"Not implemented"); - } - private: - vector<vector<WordID> > refs_; -}; - -class BLEUScore : public ScoreBase<BLEUScore> { - friend class BLEUScorerBase; - public: - BLEUScore(int n) : correct_ngram_hit_counts(float(0),n), hyp_ngram_counts(float(0),n) { - ref_len = 0; - hyp_len = 0; } - BLEUScore(int n, int k) : correct_ngram_hit_counts(float(k),n), hyp_ngram_counts(float(k),n) { - ref_len = k; - hyp_len = k; } - float ComputeScore() const; - float ComputePartialScore() const; - void ScoreDetails(string* details) const; - void TimesEquals(float scale); - void PlusEquals(const Score& delta); - void PlusEquals(const Score& delta, const float scale); - void PlusPartialEquals(const Score& delta, int oracle_e_cover, int oracle_f_cover, int src_len); - ScoreP GetZero() const; - ScoreP GetOne() const; - void Subtract(const Score& rhs, Score* res) const; - void Encode(string* out) const; - bool IsAdditiveIdentity() const { - if (fabs(ref_len) > 0.1f || hyp_len != 0) return false; - for (int i = 0; i < correct_ngram_hit_counts.size(); ++i) - if (hyp_ngram_counts[i] != 0 || - correct_ngram_hit_counts[i] != 0) return false; - return true; - } - private: - int N() const { - return hyp_ngram_counts.size(); - } - float ComputeScore(vector<float>* precs, float* bp) const; - float ComputePartialScore(vector<float>* prec, float* bp) const; - valarray<float> correct_ngram_hit_counts; - valarray<float> hyp_ngram_counts; - float ref_len; - float hyp_len; -}; - -class BLEUScorerBase : public SentenceScorer { - public: - BLEUScorerBase(const vector<vector<WordID> >& references, - int n - ); - ScoreP ScoreCandidate(const vector<WordID>& hyp) const; - ScoreP ScoreCCandidate(const vector<WordID>& hyp) const; - static ScoreP ScoreFromString(const string& in); - - virtual float ComputeRefLength(const vector<WordID>& hyp) const = 0; - private: - struct NGramCompare { - int operator() (const vector<WordID>& a, const vector<WordID>& b) { - size_t as = a.size(); - size_t bs = b.size(); - const size_t s = (as < bs ? as : bs); - for (size_t i = 0; i < s; ++i) { - int d = a[i] - b[i]; - if (d < 0) return true; - if (d > 0) return false; - } - return as < bs; - } - }; - typedef map<vector<WordID>, pair<int,int>, NGramCompare> NGramCountMap; - void CountRef(const vector<WordID>& ref) { - NGramCountMap tc; - vector<WordID> ngram(n_); - int s = ref.size(); - for (int j=0; j<s; ++j) { - int remaining = s-j; - int k = (n_ < remaining ? n_ : remaining); - ngram.clear(); - for (int i=1; i<=k; ++i) { - ngram.push_back(ref[j + i - 1]); - tc[ngram].first++; - } - } - for (NGramCountMap::iterator i = tc.begin(); i != tc.end(); ++i) { - pair<int,int>& p = ngrams_[i->first]; - if (p.first < i->second.first) - p = i->second; - } - } - - void ComputeNgramStats(const vector<WordID>& sent, - valarray<float>* correct, - valarray<float>* hyp, - bool clip_counts) - const { - assert(correct->size() == n_); - assert(hyp->size() == n_); - vector<WordID> ngram(n_); - (*correct) *= 0; - (*hyp) *= 0; - int s = sent.size(); - for (int j=0; j<s; ++j) { - int remaining = s-j; - int k = (n_ < remaining ? n_ : remaining); - ngram.clear(); - for (int i=1; i<=k; ++i) { - ngram.push_back(sent[j + i - 1]); - pair<int,int>& p = ngrams_[ngram]; - if(clip_counts){ - if (p.second < p.first) { - ++p.second; - (*correct)[i-1]++; - }} - else { - ++p.second; - (*correct)[i-1]++; - } - // if the 1 gram isn't found, don't try to match don't need to match any 2- 3- .. grams: - if (!p.first) { - for (; i<=k; ++i) - (*hyp)[i-1]++; - } else { - (*hyp)[i-1]++; - } - } - } - } - - mutable NGramCountMap ngrams_; - int n_; - vector<int> lengths_; -}; - -ScoreP BLEUScorerBase::ScoreFromString(const string& in) { - istringstream is(in); - int n; - is >> n; - BLEUScore* r = new BLEUScore(n); - is >> r->ref_len >> r->hyp_len; - - for (int i = 0; i < n; ++i) { - is >> r->correct_ngram_hit_counts[i]; - is >> r->hyp_ngram_counts[i]; - } - return ScoreP(r); -} - -class IBM_BLEUScorer : public BLEUScorerBase { - public: - IBM_BLEUScorer(const vector<vector<WordID> >& references, - int n=4) : BLEUScorerBase(references, n), lengths_(references.size()) { - for (int i=0; i < references.size(); ++i) - lengths_[i] = references[i].size(); - } - float ComputeRefLength(const vector<WordID>& hyp) const { - if (lengths_.size() == 1) return lengths_[0]; - int bestd = 2000000; - int hl = hyp.size(); - int bl = -1; - for (vector<int>::const_iterator ci = lengths_.begin(); ci != lengths_.end(); ++ci) { - int cl = *ci; - if (abs(cl - hl) < bestd) { - bestd = abs(cl - hl); - bl = cl; - } - } - return bl; - } - private: - vector<int> lengths_; -}; - -class NIST_BLEUScorer : public BLEUScorerBase { - public: - NIST_BLEUScorer(const vector<vector<WordID> >& references, - int n=4) : BLEUScorerBase(references, n), - shortest_(references[0].size()) { - for (int i=1; i < references.size(); ++i) - if (references[i].size() < shortest_) - shortest_ = references[i].size(); - } - float ComputeRefLength(const vector<WordID>& /* hyp */) const { - return shortest_; - } - private: - float shortest_; -}; - -class Koehn_BLEUScorer : public BLEUScorerBase { - public: - Koehn_BLEUScorer(const vector<vector<WordID> >& references, - int n=4) : BLEUScorerBase(references, n), - avg_(0) { - for (int i=0; i < references.size(); ++i) - avg_ += references[i].size(); - avg_ /= references.size(); - } - float ComputeRefLength(const vector<WordID>& /* hyp */) const { - return avg_; - } - private: - float avg_; -}; - -ScorerP SentenceScorer::CreateSentenceScorer(const ScoreType type, - const vector<vector<WordID> >& refs, - const string& src) -{ - SentenceScorer *r=0; - switch (type) { - case IBM_BLEU: r = new IBM_BLEUScorer(refs, 4);break; - case IBM_BLEU_3 : r = new IBM_BLEUScorer(refs,3);break; - case NIST_BLEU: r = new NIST_BLEUScorer(refs, 4);break; - case Koehn_BLEU: r = new Koehn_BLEUScorer(refs, 4);break; - case AER: r = new AERScorer(refs, src);break; - case TER: r = new TERScorer(refs);break; - case SER: r = new SERScorer(refs);break; - case BLEU_minus_TER_over_2: r = new BLEUTERCombinationScorer(refs);break; - default: - assert(!"Not implemented!"); - } - return ScorerP(r); -} - -ScoreP SentenceScorer::GetOne() const { - Sentence s; - return ScoreCCandidate(s)->GetOne(); -} - -ScoreP SentenceScorer::GetZero() const { - Sentence s; - return ScoreCCandidate(s)->GetZero(); -} - -ScoreP Score::GetOne(ScoreType type) { - std::vector<SentenceScorer::Sentence > refs; - return SentenceScorer::CreateSentenceScorer(type,refs)->GetOne(); -} - -ScoreP Score::GetZero(ScoreType type) { - std::vector<SentenceScorer::Sentence > refs; - return SentenceScorer::CreateSentenceScorer(type,refs)->GetZero(); -} - - -ScoreP SentenceScorer::CreateScoreFromString(const ScoreType type, const string& in) { - switch (type) { - case IBM_BLEU: - case IBM_BLEU_3: - case NIST_BLEU: - case Koehn_BLEU: - return BLEUScorerBase::ScoreFromString(in); - case TER: - return TERScorer::ScoreFromString(in); - case AER: - return AERScorer::ScoreFromString(in); - case SER: - return SERScorer::ScoreFromString(in); - case BLEU_minus_TER_over_2: - return BLEUTERCombinationScorer::ScoreFromString(in); - default: - assert(!"Not implemented!"); - } -} - -void SentenceScorer::ComputeErrorSurface(const ViterbiEnvelope& ve, ErrorSurface* env, const ScoreType type, const Hypergraph& hg) const { - vector<WordID> prev_trans; - const vector<shared_ptr<Segment> >& ienv = ve.GetSortedSegs(); - env->resize(ienv.size()); - ScoreP prev_score; - int j = 0; - for (int i = 0; i < ienv.size(); ++i) { - const Segment& seg = *ienv[i]; - vector<WordID> trans; - if (type == AER) { - vector<bool> edges(hg.edges_.size(), false); - seg.CollectEdgesUsed(&edges); // get the set of edges in the viterbi - // alignment - ostringstream os; - const string* psrc = this->GetSource(); - if (psrc == NULL) { - cerr << "AER scoring in VEST requires source, but it is missing!\n"; - abort(); - } - size_t pos = psrc->rfind(" ||| "); - if (pos == string::npos) { - cerr << "Malformed source for AER: expected |||\nINPUT: " << *psrc << endl; - abort(); - } - Lattice src; - Lattice ref; - LatticeTools::ConvertTextOrPLF(psrc->substr(0, pos), &src); - LatticeTools::ConvertTextOrPLF(psrc->substr(pos + 5), &ref); - AlignerTools::WriteAlignment(src, ref, hg, &os, true, &edges); - string tstr = os.str(); - TD::ConvertSentence(tstr.substr(tstr.rfind(" ||| ") + 5), &trans); - } else { - seg.ConstructTranslation(&trans); - } - // cerr << "Scoring: " << TD::GetString(trans) << endl; - if (trans == prev_trans) { - if (!minimize_segments) { - assert(prev_score); // if this fails, it means - // the decoder can generate null translations - ErrorSegment& out = (*env)[j]; - out.delta = prev_score->GetZero(); - out.x = seg.x; - ++j; - } - // cerr << "Identical translation, skipping scoring\n"; - } else { - ScoreP score = ScoreCandidate(trans); - // cerr << "score= " << score->ComputeScore() << "\n"; - ScoreP cur_delta_p = score->GetZero(); - Score* cur_delta = cur_delta_p.get(); - // just record the score diffs - if (!prev_score) - prev_score = score->GetZero(); - - score->Subtract(*prev_score, cur_delta); - prev_trans.swap(trans); - prev_score = score; - if ((!minimize_segments) || (!cur_delta->IsAdditiveIdentity())) { - ErrorSegment& out = (*env)[j]; - out.delta = cur_delta_p; - out.x = seg.x; - ++j; - } - } - } - // cerr << " In segments: " << ienv.size() << endl; - // cerr << "Out segments: " << j << endl; - assert(j > 0); - env->resize(j); -} - -void BLEUScore::ScoreDetails(string* details) const { - char buf[2000]; - vector<float> precs(max(N(),4)); - float bp; - float bleu = ComputeScore(&precs, &bp); - for (int i=N();i<4;++i) - precs[i]=0.; - char *bufn; - bufn=buf+sprintf(buf, "BLEU = %.2f, %.1f|%.1f|%.1f|%.1f (brev=%.3f)", - bleu*100.0, - precs[0]*100.0, - precs[1]*100.0, - precs[2]*100.0, - precs[3]*100.0, - bp); - *details = buf; -} - -float BLEUScore::ComputeScore(vector<float>* precs, float* bp) const { - float log_bleu = 0; - if (precs) precs->clear(); - int count = 0; - for (int i = 0; i < N(); ++i) { - if (hyp_ngram_counts[i] > 0) { - float lprec = log(correct_ngram_hit_counts[i]) - log(hyp_ngram_counts[i]); - if (precs) precs->push_back(exp(lprec)); - log_bleu += lprec; - ++count; - } - } - log_bleu /= static_cast<float>(count); - 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); -} - - -//comptue scaled score for oracle retrieval -float BLEUScore::ComputePartialScore(vector<float>* precs, float* bp) const { - // cerr << "Then here " << endl; - float log_bleu = 0; - if (precs) precs->clear(); - int count = 0; - for (int i = 0; i < N(); ++i) { - // cerr << "In CPS " << hyp_ngram_counts[i] << " " << correct_ngram_hit_counts[i] << endl; - if (hyp_ngram_counts[i] > 0) { - float lprec = log(correct_ngram_hit_counts[i]) - log(hyp_ngram_counts[i]); - if (precs) precs->push_back(exp(lprec)); - log_bleu += lprec; - ++count; - } - } - log_bleu /= static_cast<float>(count); - 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 BLEUScore::ComputePartialScore() const { - // cerr << "In here first " << endl; - return ComputePartialScore(NULL, NULL); -} - -float BLEUScore::ComputeScore() const { - return ComputeScore(NULL, NULL); -} - -void BLEUScore::Subtract(const Score& rhs, Score* res) const { - const BLEUScore& d = static_cast<const BLEUScore&>(rhs); - BLEUScore* o = static_cast<BLEUScore*>(res); - o->ref_len = ref_len - d.ref_len; - o->hyp_len = hyp_len - d.hyp_len; - o->correct_ngram_hit_counts = correct_ngram_hit_counts - d.correct_ngram_hit_counts; - o->hyp_ngram_counts = hyp_ngram_counts - d.hyp_ngram_counts; -} - -void BLEUScore::PlusEquals(const Score& delta) { - const BLEUScore& d = static_cast<const BLEUScore&>(delta); - correct_ngram_hit_counts += d.correct_ngram_hit_counts; - hyp_ngram_counts += d.hyp_ngram_counts; - ref_len += d.ref_len; - hyp_len += d.hyp_len; -} - -void BLEUScore::TimesEquals(float scale) { - correct_ngram_hit_counts *= scale; - hyp_ngram_counts *= scale; - ref_len *= scale; - hyp_len *= scale; -} - -void BLEUScore::PlusEquals(const Score& delta, const float scale) { - const BLEUScore& d = static_cast<const BLEUScore&>(delta); - correct_ngram_hit_counts = correct_ngram_hit_counts + (d.correct_ngram_hit_counts * scale); - hyp_ngram_counts = hyp_ngram_counts + (d.hyp_ngram_counts * scale); - ref_len = ref_len + (d.ref_len * scale); - hyp_len = hyp_len + (d.hyp_len * scale); -} - -void BLEUScore::PlusPartialEquals(const Score& delta, int oracle_e_cover, int oracle_f_cover, int src_len){ - const BLEUScore& d = static_cast<const BLEUScore&>(delta); - correct_ngram_hit_counts += d.correct_ngram_hit_counts; - hyp_ngram_counts += d.hyp_ngram_counts; - //scale the reference length according to the size of the input sentence covered by this rule - - ref_len *= (float)oracle_f_cover / src_len; - ref_len += d.ref_len; - - hyp_len = oracle_e_cover; - hyp_len += d.hyp_len; -} - - -ScoreP BLEUScore::GetZero() const { - return ScoreP(new BLEUScore(N())); -} - -ScoreP BLEUScore::GetOne() const { - return ScoreP(new BLEUScore(N(),1)); -} - - -void BLEUScore::Encode(string* out) const { - ostringstream os; - const int n = correct_ngram_hit_counts.size(); - os << n << ' ' << ref_len << ' ' << hyp_len; - for (int i = 0; i < n; ++i) - os << ' ' << correct_ngram_hit_counts[i] << ' ' << hyp_ngram_counts[i]; - *out = os.str(); -} - -BLEUScorerBase::BLEUScorerBase(const vector<vector<WordID> >& references, - int n) : SentenceScorer("BLEU"+boost::lexical_cast<string>(n),references),n_(n) { - for (vector<vector<WordID> >::const_iterator ci = references.begin(); - ci != references.end(); ++ci) { - lengths_.push_back(ci->size()); - CountRef(*ci); - } -} - -ScoreP BLEUScorerBase::ScoreCandidate(const vector<WordID>& hyp) const { - BLEUScore* bs = new BLEUScore(n_); - for (NGramCountMap::iterator i=ngrams_.begin(); i != ngrams_.end(); ++i) - i->second.second = 0; - ComputeNgramStats(hyp, &bs->correct_ngram_hit_counts, &bs->hyp_ngram_counts, true); - bs->ref_len = ComputeRefLength(hyp); - bs->hyp_len = hyp.size(); - return ScoreP(bs); -} - -ScoreP BLEUScorerBase::ScoreCCandidate(const vector<WordID>& hyp) const { - BLEUScore* bs = new BLEUScore(n_); - for (NGramCountMap::iterator i=ngrams_.begin(); i != ngrams_.end(); ++i) - i->second.second = 0; - bool clip = false; - ComputeNgramStats(hyp, &bs->correct_ngram_hit_counts, &bs->hyp_ngram_counts,clip); - bs->ref_len = ComputeRefLength(hyp); - bs->hyp_len = hyp.size(); - return ScoreP(bs); -} - - -DocScorer::~DocScorer() { -} - -void DocScorer::Init( - const ScoreType type, - const vector<string>& ref_files, - const string& src_file, bool verbose) { - scorers_.clear(); - // TODO stop using valarray, start using ReadFile - cerr << "Loading references (" << ref_files.size() << " files)\n"; - ReadFile srcrf; - if (type == AER && src_file.size() > 0) { - cerr << " (source=" << src_file << ")\n"; - srcrf.Init(src_file); - } - std::vector<ReadFile> ifs(ref_files.begin(),ref_files.end()); - for (int i=0; i < ref_files.size(); ++i) ifs[i].Init(ref_files[i]); - char buf[64000]; - bool expect_eof = false; - int line=0; - while (ifs[0].get()) { - vector<vector<WordID> > refs(ref_files.size()); - for (int i=0; i < ref_files.size(); ++i) { - istream &in=ifs[i].get(); - if (in.eof()) break; - in.getline(buf, 64000); - refs[i].clear(); - if (strlen(buf) == 0) { - if (in.eof()) { - if (!expect_eof) { - assert(i == 0); - expect_eof = true; - } - break; - } - } else { - TD::ConvertSentence(buf, &refs[i]); - assert(!refs[i].empty()); - } - assert(!expect_eof); - } - if (!expect_eof) { - string src_line; - if (srcrf) { - getline(srcrf.get(), src_line); - map<string,string> dummy; - ProcessAndStripSGML(&src_line, &dummy); - } - scorers_.push_back(ScorerP(SentenceScorer::CreateSentenceScorer(type, refs, src_line))); - if (verbose) - cerr<<"doc_scorer["<<line<<"] = "<<scorers_.back()->verbose_desc()<<endl; - ++line; - } - } - cerr << "Loaded reference translations for " << scorers_.size() << " sentences.\n"; -} - |