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-rw-r--r--mteval/Makefile.am2
-rw-r--r--mteval/ns.cc67
-rw-r--r--mteval/ns.h23
-rw-r--r--mteval/ns_comb.cc87
-rw-r--r--mteval/ns_comb.h19
-rw-r--r--mteval/ns_ext.cc130
-rw-r--r--mteval/ns_ext.h21
-rw-r--r--mteval/ns_ter.cc126
-rw-r--r--mteval/ns_ter.h1
-rw-r--r--mteval/scorer_test.cc12
-rw-r--r--utils/stringlib.h7
11 files changed, 362 insertions, 133 deletions
diff --git a/mteval/Makefile.am b/mteval/Makefile.am
index 95845090..6679d949 100644
--- a/mteval/Makefile.am
+++ b/mteval/Makefile.am
@@ -10,7 +10,7 @@ endif
noinst_LIBRARIES = libmteval.a
-libmteval_a_SOURCES = ter.cc comb_scorer.cc aer_scorer.cc scorer.cc external_scorer.cc
+libmteval_a_SOURCES = ter.cc comb_scorer.cc aer_scorer.cc scorer.cc external_scorer.cc ns.cc ns_ter.cc ns_ext.cc ns_comb.cc
fast_score_SOURCES = fast_score.cc
fast_score_LDADD = libmteval.a $(top_srcdir)/utils/libutils.a -lz
diff --git a/mteval/ns.cc b/mteval/ns.cc
index 1045a51f..6139757d 100644
--- a/mteval/ns.cc
+++ b/mteval/ns.cc
@@ -1,5 +1,7 @@
#include "ns.h"
#include "ns_ter.h"
+#include "ns_ext.h"
+#include "ns_comb.h"
#include <cassert>
#include <cmath>
@@ -7,6 +9,9 @@
#include <iostream>
#include <sstream>
+#include "tdict.h"
+#include "stringlib.h"
+
using namespace std;
using boost::shared_ptr;
@@ -19,6 +24,7 @@ struct DefaultSegmentEvaluator : public SegmentEvaluator {
DefaultSegmentEvaluator(const vector<vector<WordID> >& refs, const EvaluationMetric* em) : refs_(refs), em_(em) {}
void Evaluate(const vector<WordID>& hyp, SufficientStats* out) const {
em_->ComputeSufficientStatistics(hyp, refs_, out);
+ out->id_ = em_->MetricId();
}
const vector<vector<WordID> > refs_;
const EvaluationMetric* em_;
@@ -28,6 +34,11 @@ shared_ptr<SegmentEvaluator> EvaluationMetric::CreateSegmentEvaluator(const vect
return shared_ptr<SegmentEvaluator>(new DefaultSegmentEvaluator(refs, this));
}
+#define MAX_SS_VECTOR_SIZE 50
+unsigned EvaluationMetric::SufficientStatisticsVectorSize() const {
+ return MAX_SS_VECTOR_SIZE;
+}
+
void EvaluationMetric::ComputeSufficientStatistics(const vector<WordID>&,
const vector<vector<WordID> >&,
SufficientStats*) const {
@@ -35,6 +46,12 @@ void EvaluationMetric::ComputeSufficientStatistics(const vector<WordID>&,
abort();
}
+string EvaluationMetric::DetailedScore(const SufficientStats& stats) const {
+ ostringstream os;
+ os << MetricId() << "=" << ComputeScore(stats);
+ return os.str();
+}
+
enum BleuType { IBM, Koehn, NIST };
template <unsigned int N = 4u, BleuType BrevityType = IBM>
struct BleuSegmentEvaluator : public SegmentEvaluator {
@@ -57,7 +74,7 @@ struct BleuSegmentEvaluator : public SegmentEvaluator {
void Evaluate(const vector<WordID>& hyp, SufficientStats* out) const {
out->fields.resize(N + N + 2);
- out->evaluation_metric = evaluation_metric;
+ out->id_ = evaluation_metric->MetricId();
for (unsigned i = 0; i < N+N+2; ++i) out->fields[i] = 0;
ComputeNgramStats(hyp, &out->fields[0], &out->fields[N], true);
@@ -157,7 +174,12 @@ struct BleuSegmentEvaluator : public SegmentEvaluator {
template <unsigned int N = 4u, BleuType BrevityType = IBM>
struct BleuMetric : public EvaluationMetric {
BleuMetric() : EvaluationMetric("IBM_BLEU") {}
- float ComputeScore(const SufficientStats& stats) const {
+ unsigned SufficientStatisticsVectorSize() const { return N*2 + 2; }
+ shared_ptr<SegmentEvaluator> CreateSegmentEvaluator(const vector<vector<WordID> >& refs) const {
+ return shared_ptr<SegmentEvaluator>(new BleuSegmentEvaluator<N,BrevityType>(refs, this));
+ }
+ float ComputeBreakdown(const SufficientStats& stats, float* bp, vector<float>* out) const {
+ if (out) { out->clear(); }
float log_bleu = 0;
int count = 0;
for (int i = 0; i < N; ++i) {
@@ -166,7 +188,7 @@ struct BleuMetric : public EvaluationMetric {
// smooth bleu
if (!cor_count) { cor_count = 0.01; }
float lprec = log(cor_count) - log(stats.fields[i+N]); // log(hyp_ngram_counts[i]);
- // if (precs) precs->push_back(exp(lprec));
+ if (out) out->push_back(exp(lprec));
log_bleu += lprec;
++count;
}
@@ -178,32 +200,51 @@ struct BleuMetric : public EvaluationMetric {
if (hyp_len < ref_len)
lbp = (hyp_len - ref_len) / hyp_len;
log_bleu += lbp;
- //if (bp) *bp = exp(lbp);
+ if (bp) *bp = exp(lbp);
return exp(log_bleu);
}
- shared_ptr<SegmentEvaluator> CreateSegmentEvaluator(const vector<vector<WordID> >& refs) const {
- return shared_ptr<SegmentEvaluator>(new BleuSegmentEvaluator<N,BrevityType>(refs, this));
+ string DetailedScore(const SufficientStats& stats) const {
+ char buf[2000];
+ vector<float> precs(N);
+ float bp;
+ float bleu = ComputeBreakdown(stats, &bp, &precs);
+ 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);
+ return buf;
+ }
+ float ComputeScore(const SufficientStats& stats) const {
+ return ComputeBreakdown(stats, NULL, NULL);
}
};
-EvaluationMetric* EvaluationMetric::Instance(const string& metric_id) {
+EvaluationMetric* EvaluationMetric::Instance(const string& imetric_id) {
static bool is_first = true;
if (is_first) {
instances_["NULL"] = NULL;
is_first = false;
}
+ const string metric_id = UppercaseString(imetric_id);
map<string, EvaluationMetric*>::iterator it = instances_.find(metric_id);
if (it == instances_.end()) {
EvaluationMetric* m = NULL;
- if (metric_id == "IBM_BLEU") {
+ if (metric_id == "IBM_BLEU") {
m = new BleuMetric<4, IBM>;
} else if (metric_id == "NIST_BLEU") {
m = new BleuMetric<4, NIST>;
- } else if (metric_id == "Koehn_BLEU") {
+ } else if (metric_id == "KOEHN_BLEU") {
m = new BleuMetric<4, Koehn>;
} else if (metric_id == "TER") {
m = new TERMetric;
+ } else if (metric_id == "METEOR") {
+ m = new ExternalMetric("METEOR", "java -Xmx1536m -jar /Users/cdyer/software/meteor/meteor-1.3.jar - - -mira -lower -t tune -l en");
+ } else if (metric_id.find("COMB:") == 0) {
+ m = new CombinationMetric(metric_id);
} else {
cerr << "Implement please: " << metric_id << endl;
abort();
@@ -220,9 +261,7 @@ EvaluationMetric* EvaluationMetric::Instance(const string& metric_id) {
SufficientStats::SufficientStats(const string& encoded) {
istringstream is(encoded);
- string type;
- is >> type;
- evaluation_metric = EvaluationMetric::Instance(type);
+ is >> id_;
float val;
while(is >> val)
fields.push_back(val);
@@ -230,8 +269,8 @@ SufficientStats::SufficientStats(const string& encoded) {
void SufficientStats::Encode(string* out) const {
ostringstream os;
- if (evaluation_metric)
- os << evaluation_metric->MetricId();
+ if (id_.size() > 0)
+ os << id_;
else
os << "NULL";
for (unsigned i = 0; i < fields.size(); ++i)
diff --git a/mteval/ns.h b/mteval/ns.h
index f19b7509..622265db 100644
--- a/mteval/ns.h
+++ b/mteval/ns.h
@@ -7,18 +7,15 @@
#include <boost/shared_ptr.hpp>
#include "wordid.h"
-class EvaluationMetric;
-
class SufficientStats {
public:
- SufficientStats() : evaluation_metric() {}
+ SufficientStats() : id_() {}
explicit SufficientStats(const std::string& encoded);
- explicit SufficientStats(const EvaluationMetric* s) : evaluation_metric(s) {}
- SufficientStats(const EvaluationMetric* s, const std::vector<float>& f) :
- evaluation_metric(s), fields(f) {}
+ SufficientStats(const std::string& mid, const std::vector<float>& f) :
+ id_(mid), fields(f) {}
SufficientStats& operator+=(const SufficientStats& delta) {
- if (delta.evaluation_metric) evaluation_metric = delta.evaluation_metric;
+ if (id_.empty() && delta.id_.size()) id_ = delta.id_;
if (fields.size() != delta.fields.size())
fields.resize(std::max(fields.size(), delta.fields.size()));
for (unsigned i = 0; i < delta.fields.size(); ++i)
@@ -26,7 +23,7 @@ class SufficientStats {
return *this;
}
SufficientStats& operator-=(const SufficientStats& delta) {
- if (delta.evaluation_metric) evaluation_metric = delta.evaluation_metric;
+ if (id_.empty() && delta.id_.size()) id_ = delta.id_;
if (fields.size() != delta.fields.size())
fields.resize(std::max(fields.size(), delta.fields.size()));
for (unsigned i = 0; i < delta.fields.size(); ++i)
@@ -53,7 +50,7 @@ class SufficientStats {
}
void Encode(std::string* out) const;
- const EvaluationMetric* evaluation_metric;
+ std::string id_;
std::vector<float> fields;
};
@@ -73,13 +70,13 @@ struct SegmentEvaluator {
};
// Instructions for implementing a new metric
-// Override MetricId() and give the metric a unique string name (no spaces)
// To Instance(), add something that creates the metric
+// Implement ComputeScore(const SufficientStats& stats) const;
// Implement ONE of the following:
// 1) void ComputeSufficientStatistics(const std::vector<std::vector<WordID> >& refs, SufficientStats* out) const;
// 2) a new SegmentEvaluator class AND CreateSegmentEvaluator(const std::vector<std::vector<WordID> >& refs) const;
-// The later (#2) is only used when it is necessary to precompute per-segment data from a set of refs
-// Implement ComputeScore(const SufficientStats& stats) const;
+// [The later (#2) is only used when it is necessary to precompute per-segment data from a set of refs]
+// OPTIONAL: Override SufficientStatisticsVectorSize() if it is easy to do so
class EvaluationMetric {
public:
static EvaluationMetric* Instance(const std::string& metric_id = "IBM_BLEU");
@@ -91,7 +88,9 @@ class EvaluationMetric {
public:
const std::string& MetricId() const { return name_; }
+ virtual unsigned SufficientStatisticsVectorSize() const;
virtual float ComputeScore(const SufficientStats& stats) const = 0;
+ virtual std::string DetailedScore(const SufficientStats& stats) const;
virtual boost::shared_ptr<SegmentEvaluator> CreateSegmentEvaluator(const std::vector<std::vector<WordID> >& refs) const;
virtual void ComputeSufficientStatistics(const std::vector<WordID>& hyp,
const std::vector<std::vector<WordID> >& refs,
diff --git a/mteval/ns_comb.cc b/mteval/ns_comb.cc
new file mode 100644
index 00000000..41c634cd
--- /dev/null
+++ b/mteval/ns_comb.cc
@@ -0,0 +1,87 @@
+#include "ns_comb.h"
+
+#include <iostream>
+
+#include "stringlib.h"
+
+using namespace std;
+
+// e.g. COMB:IBM_BLEU=0.5;TER=0.5
+CombinationMetric::CombinationMetric(const std::string& cmd) :
+ EvaluationMetric(cmd),
+ total_size() {
+ if (cmd.find("COMB:") != 0 || cmd.size() < 9) {
+ cerr << "Error in combination metric specifier: " << cmd << endl;
+ exit(1);
+ }
+ string mix = cmd.substr(5);
+ vector<string> comps;
+ Tokenize(cmd.substr(5), ';', &comps);
+ if(comps.size() < 2) {
+ cerr << "Error in combination metric specifier: " << cmd << endl;
+ exit(1);
+ }
+ vector<string> cwpairs;
+ for (unsigned i = 0; i < comps.size(); ++i) {
+ Tokenize(comps[i], '=', &cwpairs);
+ if (cwpairs.size() != 2) { cerr << "Error in combination metric specifier: " << cmd << endl; exit(1); }
+ metrics.push_back(EvaluationMetric::Instance(cwpairs[0]));
+ coeffs.push_back(atof(cwpairs[1].c_str()));
+ offsets.push_back(total_size);
+ total_size += metrics.back()->SufficientStatisticsVectorSize();
+ cerr << (i > 0 ? " + " : "( ") << coeffs.back() << " * " << cwpairs[0];
+ }
+ cerr << " )\n";
+}
+
+struct CombinationSegmentEvaluator : public SegmentEvaluator {
+ CombinationSegmentEvaluator(const string& id,
+ const vector<vector<WordID> >& refs,
+ const vector<EvaluationMetric*>& metrics,
+ const vector<unsigned>& offsets,
+ const unsigned ts) : id_(id), offsets_(offsets), total_size_(ts), component_evaluators_(metrics.size()) {
+ for (unsigned i = 0; i < metrics.size(); ++i)
+ component_evaluators_[i] = metrics[i]->CreateSegmentEvaluator(refs);
+ }
+ virtual void Evaluate(const std::vector<WordID>& hyp, SufficientStats* out) const {
+ out->id_ = id_;
+ out->fields.resize(total_size_);
+ for (unsigned i = 0; i < component_evaluators_.size(); ++i) {
+ SufficientStats t;
+ component_evaluators_[i]->Evaluate(hyp, &t);
+ for (unsigned j = 0; j < t.fields.size(); ++j) {
+ unsigned op = j + offsets_[i];
+ assert(op < out->fields.size());
+ out->fields[op] = t[j];
+ }
+ }
+ }
+ const string& id_;
+ const vector<unsigned>& offsets_;
+ const unsigned total_size_;
+ vector<boost::shared_ptr<SegmentEvaluator> > component_evaluators_;
+};
+
+boost::shared_ptr<SegmentEvaluator> CombinationMetric::CreateSegmentEvaluator(const std::vector<std::vector<WordID> >& refs) const {
+ boost::shared_ptr<SegmentEvaluator> res;
+ res.reset(new CombinationSegmentEvaluator(MetricId(), refs, metrics, offsets, total_size));
+ return res;
+}
+
+float CombinationMetric::ComputeScore(const SufficientStats& stats) const {
+ float tot = 0;
+ for (unsigned i = 0; i < metrics.size(); ++i) {
+ SufficientStats t;
+ unsigned next = total_size;
+ if (i + 1 < offsets.size()) next = offsets[i+1];
+ for (unsigned j = offsets[i]; j < next; ++j)
+ t.fields.push_back(stats[j]);
+ tot += metrics[i]->ComputeScore(t) * coeffs[i];
+ }
+ return tot;
+}
+
+unsigned CombinationMetric::SufficientStatisticsVectorSize() const {
+ return total_size;
+}
+
diff --git a/mteval/ns_comb.h b/mteval/ns_comb.h
new file mode 100644
index 00000000..140e7e6a
--- /dev/null
+++ b/mteval/ns_comb.h
@@ -0,0 +1,19 @@
+#ifndef _NS_COMB_H_
+#define _NS_COMB_H_
+
+#include "ns.h"
+
+class CombinationMetric : public EvaluationMetric {
+ public:
+ CombinationMetric(const std::string& cmd);
+ virtual boost::shared_ptr<SegmentEvaluator> CreateSegmentEvaluator(const std::vector<std::vector<WordID> >& refs) const;
+ virtual float ComputeScore(const SufficientStats& stats) const;
+ virtual unsigned SufficientStatisticsVectorSize() const;
+ private:
+ std::vector<EvaluationMetric*> metrics;
+ std::vector<float> coeffs;
+ std::vector<unsigned> offsets;
+ unsigned total_size;
+};
+
+#endif
diff --git a/mteval/ns_ext.cc b/mteval/ns_ext.cc
new file mode 100644
index 00000000..956708af
--- /dev/null
+++ b/mteval/ns_ext.cc
@@ -0,0 +1,130 @@
+#include "ns_ext.h"
+
+#include <cstdio> // popen
+#include <cstdlib>
+#include <cstring>
+#include <unistd.h>
+#include <sstream>
+#include <iostream>
+#include <cassert>
+
+#include "stringlib.h"
+#include "tdict.h"
+
+using namespace std;
+
+struct NScoreServer {
+ NScoreServer(const std::string& cmd);
+ ~NScoreServer();
+
+ float ComputeScore(const std::vector<float>& fields);
+ void Evaluate(const std::vector<std::vector<WordID> >& refs, const std::vector<WordID>& hyp, std::vector<float>* fields);
+
+ private:
+ void RequestResponse(const std::string& request, std::string* response);
+ int p2c[2];
+ int c2p[2];
+};
+
+NScoreServer::NScoreServer(const string& cmd) {
+ cerr << "Invoking " << cmd << " ..." << endl;
+ if (pipe(p2c) < 0) { perror("pipe"); exit(1); }
+ if (pipe(c2p) < 0) { perror("pipe"); exit(1); }
+ pid_t cpid = fork();
+ if (cpid < 0) { perror("fork"); exit(1); }
+ if (cpid == 0) { // child
+ close(p2c[1]);
+ close(c2p[0]);
+ dup2(p2c[0], 0);
+ close(p2c[0]);
+ dup2(c2p[1], 1);
+ close(c2p[1]);
+ cerr << "Exec'ing from child " << cmd << endl;
+ vector<string> vargs;
+ SplitOnWhitespace(cmd, &vargs);
+ const char** cargv = static_cast<const char**>(malloc(sizeof(const char*) * vargs.size()));
+ for (unsigned i = 1; i < vargs.size(); ++i) cargv[i-1] = vargs[i].c_str();
+ cargv[vargs.size() - 1] = NULL;
+ execvp(vargs[0].c_str(), (char* const*)cargv);
+ } else { // parent
+ close(c2p[1]);
+ close(p2c[0]);
+ }
+ string dummy;
+ RequestResponse("SCORE ||| Reference initialization string . ||| Testing initialization string .", &dummy);
+ assert(dummy.size() > 0);
+ cerr << "Connection established.\n";
+}
+
+NScoreServer::~NScoreServer() {
+ // TODO close stuff, join stuff
+}
+
+float NScoreServer::ComputeScore(const vector<float>& fields) {
+ ostringstream os;
+ os << "EVAL |||";
+ for (unsigned i = 0; i < fields.size(); ++i)
+ os << ' ' << fields[i];
+ string sres;
+ RequestResponse(os.str(), &sres);
+ return strtod(sres.c_str(), NULL);
+}
+
+void NScoreServer::Evaluate(const vector<vector<WordID> >& refs, const vector<WordID>& hyp, vector<float>* fields) {
+ ostringstream os;
+ os << "SCORE";
+ for (unsigned i = 0; i < refs.size(); ++i) {
+ os << " |||";
+ for (unsigned j = 0; j < refs[i].size(); ++j) {
+ os << ' ' << TD::Convert(refs[i][j]);
+ }
+ }
+ os << " |||";
+ for (unsigned i = 0; i < hyp.size(); ++i) {
+ os << ' ' << TD::Convert(hyp[i]);
+ }
+ string sres;
+ RequestResponse(os.str(), &sres);
+ istringstream is(sres);
+ float val;
+ fields->clear();
+ while(is >> val)
+ fields->push_back(val);
+}
+
+#define MAX_BUF 16000
+
+void NScoreServer::RequestResponse(const string& request, string* response) {
+// cerr << "@SERVER: " << request << endl;
+ string x = request + "\n";
+ write(p2c[1], x.c_str(), x.size());
+ char buf[MAX_BUF];
+ size_t n = read(c2p[0], buf, MAX_BUF);
+ while (n < MAX_BUF && buf[n-1] != '\n')
+ n += read(c2p[0], &buf[n], MAX_BUF - n);
+
+ buf[n-1] = 0;
+ if (n < 2) {
+ cerr << "Malformed response: " << buf << endl;
+ }
+ *response = Trim(buf, " \t\n");
+// cerr << "@RESPONSE: '" << *response << "'\n";
+}
+
+void ExternalMetric::ComputeSufficientStatistics(const std::vector<WordID>& hyp,
+ const std::vector<std::vector<WordID> >& refs,
+ SufficientStats* out) const {
+ eval_server->Evaluate(refs, hyp, &out->fields);
+}
+
+float ExternalMetric::ComputeScore(const SufficientStats& stats) const {
+ eval_server->ComputeScore(stats.fields);
+}
+
+ExternalMetric::ExternalMetric(const string& metric_name, const std::string& command) :
+ EvaluationMetric(metric_name),
+ eval_server(new NScoreServer(command)) {}
+
+ExternalMetric::~ExternalMetric() {
+ delete eval_server;
+}
diff --git a/mteval/ns_ext.h b/mteval/ns_ext.h
new file mode 100644
index 00000000..78badb2e
--- /dev/null
+++ b/mteval/ns_ext.h
@@ -0,0 +1,21 @@
+#ifndef _NS_EXTERNAL_SCORER_H_
+#define _NS_EXTERNAL_SCORER_H_
+
+#include "ns.h"
+
+struct NScoreServer;
+class ExternalMetric : public EvaluationMetric {
+ public:
+ ExternalMetric(const std::string& metricid, const std::string& command);
+ ~ExternalMetric();
+
+ virtual void ComputeSufficientStatistics(const std::vector<WordID>& hyp,
+ const std::vector<std::vector<WordID> >& refs,
+ SufficientStats* out) const;
+ virtual float ComputeScore(const SufficientStats& stats) const;
+
+ protected:
+ NScoreServer* eval_server;
+};
+
+#endif
diff --git a/mteval/ns_ter.cc b/mteval/ns_ter.cc
index 14dc6e49..8c969e58 100644
--- a/mteval/ns_ter.cc
+++ b/mteval/ns_ter.cc
@@ -1,15 +1,11 @@
#include "ns_ter.h"
-#include <cstdio>
#include <cassert>
#include <iostream>
#include <limits>
-#include <sstream>
#include <tr1/unordered_map>
#include <set>
-#include <valarray>
#include <boost/functional/hash.hpp>
-#include <stdexcept>
#include "tdict.h"
static const bool ter_use_average_ref_len = true;
@@ -25,7 +21,7 @@ static const unsigned kDUMMY_LAST_ENTRY = 5;
using namespace std;
using namespace std::tr1;
-#if 0
+namespace NewScorer {
struct COSTS {
static const float substitution;
@@ -82,7 +78,7 @@ class TERScorerImpl {
enum TransType { MATCH, SUBSTITUTION, INSERTION, DELETION };
explicit TERScorerImpl(const vector<WordID>& ref) : ref_(ref) {
- for (int i = 0; i < ref.size(); ++i)
+ for (unsigned i = 0; i < ref.size(); ++i)
rwexists_.insert(ref[i]);
}
@@ -95,7 +91,7 @@ class TERScorerImpl {
}
private:
- vector<WordID> ref_;
+ const vector<WordID>& ref_;
set<WordID> rwexists_;
typedef unordered_map<vector<WordID>, set<int>, boost::hash<vector<WordID> > > NgramToIntsMap;
@@ -421,68 +417,7 @@ class TERScorerImpl {
}
};
-class TERScore : public ScoreBase<TERScore> {
- friend class TERScorer;
-
- public:
-
- TERScore() : stats(0,kDUMMY_LAST_ENTRY) {}
- float ComputePartialScore() const { return 0.0;}
- float ComputeScore() const {
- float edits = static_cast<float>(stats[kINSERTIONS] + stats[kDELETIONS] + stats[kSUBSTITUTIONS] + stats[kSHIFTS]);
- return edits / static_cast<float>(stats[kREF_WORDCOUNT]);
- }
- void ScoreDetails(string* details) const;
- void PlusPartialEquals(const Score& rhs, int oracle_e_cover, int oracle_f_cover, int src_len){}
- void PlusEquals(const Score& delta, const float scale) {
- if (scale==1)
- stats += static_cast<const TERScore&>(delta).stats;
- if (scale==-1)
- stats -= static_cast<const TERScore&>(delta).stats;
- throw std::runtime_error("TERScore::PlusEquals with scale != +-1");
- }
- void PlusEquals(const Score& delta) {
- stats += static_cast<const TERScore&>(delta).stats;
- }
-
- ScoreP GetZero() const {
- return ScoreP(new TERScore);
- }
- ScoreP GetOne() const {
- return ScoreP(new TERScore);
- }
- void Subtract(const Score& rhs, Score* res) const {
- static_cast<TERScore*>(res)->stats = stats - static_cast<const TERScore&>(rhs).stats;
- }
- void Encode(std::string* out) const {
- ostringstream os;
- os << stats[kINSERTIONS] << ' '
- << stats[kDELETIONS] << ' '
- << stats[kSUBSTITUTIONS] << ' '
- << stats[kSHIFTS] << ' '
- << stats[kREF_WORDCOUNT];
- *out = os.str();
- }
- bool IsAdditiveIdentity() const {
- for (int i = 0; i < kDUMMY_LAST_ENTRY; ++i)
- if (stats[i] != 0) return false;
- return true;
- }
- private:
- valarray<int> stats;
-};
-
-ScoreP TERScorer::ScoreFromString(const std::string& data) {
- istringstream is(data);
- TERScore* r = new TERScore;
- is >> r->stats[TERScore::kINSERTIONS]
- >> r->stats[TERScore::kDELETIONS]
- >> r->stats[TERScore::kSUBSTITUTIONS]
- >> r->stats[TERScore::kSHIFTS]
- >> r->stats[TERScore::kREF_WORDCOUNT];
- return ScoreP(r);
-}
-
+#if 0
void TERScore::ScoreDetails(std::string* details) const {
char buf[200];
sprintf(buf, "TER = %.2f, %3d|%3d|%3d|%3d (len=%d)",
@@ -494,54 +429,43 @@ void TERScore::ScoreDetails(std::string* details) const {
stats[kREF_WORDCOUNT]);
*details = buf;
}
+#endif
-TERScorer::~TERScorer() {
- for (vector<TERScorerImpl*>::iterator i = impl_.begin(); i != impl_.end(); ++i)
- delete *i;
-}
+} // namespace NewScorer
-TERScorer::TERScorer(const vector<vector<WordID> >& refs) : impl_(refs.size()) {
+void TERMetric::ComputeSufficientStatistics(const vector<WordID>& hyp,
+ const vector<vector<WordID> >& refs,
+ SufficientStats* out) const {
+ out->fields.resize(kDUMMY_LAST_ENTRY);
+ float best_score = numeric_limits<float>::max();
+ unsigned avg_len = 0;
for (int i = 0; i < refs.size(); ++i)
- impl_[i] = new TERScorerImpl(refs[i]);
-}
+ avg_len += refs[i].size();
+ avg_len /= refs.size();
-ScoreP TERScorer::ScoreCCandidate(const vector<WordID>& hyp) const {
- return ScoreP();
-}
-
-ScoreP TERScorer::ScoreCandidate(const std::vector<WordID>& hyp) const {
- float best_score = numeric_limits<float>::max();
- TERScore* res = new TERScore;
- int avg_len = 0;
- for (int i = 0; i < impl_.size(); ++i)
- avg_len += impl_[i]->GetRefLength();
- avg_len /= impl_.size();
- for (int i = 0; i < impl_.size(); ++i) {
+ for (int i = 0; i < refs.size(); ++i) {
int subs, ins, dels, shifts;
- float score = impl_[i]->Calculate(hyp, &subs, &ins, &dels, &shifts);
+ NewScorer::TERScorerImpl ter(refs[i]);
+ float score = ter.Calculate(hyp, &subs, &ins, &dels, &shifts);
// cerr << "Component TER cost: " << score << endl;
if (score < best_score) {
- res->stats[TERScore::kINSERTIONS] = ins;
- res->stats[TERScore::kDELETIONS] = dels;
- res->stats[TERScore::kSUBSTITUTIONS] = subs;
- res->stats[TERScore::kSHIFTS] = shifts;
+ out->fields[kINSERTIONS] = ins;
+ out->fields[kDELETIONS] = dels;
+ out->fields[kSUBSTITUTIONS] = subs;
+ out->fields[kSHIFTS] = shifts;
if (ter_use_average_ref_len) {
- res->stats[TERScore::kREF_WORDCOUNT] = avg_len;
+ out->fields[kREF_WORDCOUNT] = avg_len;
} else {
- res->stats[TERScore::kREF_WORDCOUNT] = impl_[i]->GetRefLength();
+ out->fields[kREF_WORDCOUNT] = refs[i].size();
}
best_score = score;
}
}
- return ScoreP(res);
}
-#endif
-void TERMetric::ComputeSufficientStatistics(const vector<WordID>& hyp,
- const vector<vector<WordID> >& refs,
- SufficientStats* out) const {
- out->fields.resize(kDUMMY_LAST_ENTRY);
+unsigned TERMetric::SufficientStatisticsVectorSize() const {
+ return kDUMMY_LAST_ENTRY;
}
float TERMetric::ComputeScore(const SufficientStats& stats) const {
diff --git a/mteval/ns_ter.h b/mteval/ns_ter.h
index bb90f95e..6c020cfa 100644
--- a/mteval/ns_ter.h
+++ b/mteval/ns_ter.h
@@ -9,6 +9,7 @@ class TERMetric : public EvaluationMetric {
TERMetric() : EvaluationMetric("TER") {}
public:
+ virtual unsigned SufficientStatisticsVectorSize() const;
virtual void ComputeSufficientStatistics(const std::vector<WordID>& hyp,
const std::vector<std::vector<WordID> >& refs,
SufficientStats* out) const;
diff --git a/mteval/scorer_test.cc b/mteval/scorer_test.cc
index 09da250c..73159557 100644
--- a/mteval/scorer_test.cc
+++ b/mteval/scorer_test.cc
@@ -205,20 +205,22 @@ TEST_F(ScorerTest, Kernel) {
}
TEST_F(ScorerTest, NewScoreAPI) {
- EvaluationMetric* metric = EvaluationMetric::Instance("IBM_BLEU");
+ //EvaluationMetric* metric = EvaluationMetric::Instance("IBM_BLEU");
+ //EvaluationMetric* metric = EvaluationMetric::Instance("METEOR");
+ EvaluationMetric* metric = EvaluationMetric::Instance("COMB:IBM_BLEU=0.5;TER=-0.5");
boost::shared_ptr<SegmentEvaluator> e1 = metric->CreateSegmentEvaluator(refs0);
boost::shared_ptr<SegmentEvaluator> e2 = metric->CreateSegmentEvaluator(refs1);
SufficientStats stats1;
- e1->Evaluate(hyp2, &stats1);
+ e1->Evaluate(hyp1, &stats1);
SufficientStats stats2;
- e2->Evaluate(hyp1, &stats2);
+ e2->Evaluate(hyp2, &stats2);
stats1 += stats2;
string ss;
stats1.Encode(&ss);
cerr << "SS: " << ss << endl;
cerr << metric->ComputeScore(stats1) << endl;
- SufficientStats statse("IBM_BLEU 53 32 18 11 65 63 61 59 65 72");
- cerr << metric->ComputeScore(statse) << endl;
+ //SufficientStats statse("IBM_BLEU 53 32 18 11 65 63 61 59 65 72");
+ //cerr << metric->ComputeScore(statse) << endl;
}
int main(int argc, char **argv) {
diff --git a/utils/stringlib.h b/utils/stringlib.h
index cafbdac3..f457e1e4 100644
--- a/utils/stringlib.h
+++ b/utils/stringlib.h
@@ -125,6 +125,13 @@ inline std::string LowercaseString(const std::string& in) {
return res;
}
+inline std::string UppercaseString(const std::string& in) {
+ std::string res(in.size(),' ');
+ for (int i = 0; i < in.size(); ++i)
+ res[i] = toupper(in[i]);
+ return res;
+}
+
inline int CountSubstrings(const std::string& str, const std::string& sub) {
size_t p = 0;
int res = 0;
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-22 07:24:01 +0000