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#include <iostream>
#define BOOST_TEST_MODULE ScoreTest
#include <boost/test/unit_test.hpp>
#include <boost/test/floating_point_comparison.hpp>
#include "ns_docscorer.h"
#include "ns.h"
#include "tdict.h"
#include "scorer.h"
#include "aer_scorer.h"
#include "kernel_string_subseq.h"
using namespace std;
struct Stuff {
Stuff() {
refs0.resize(4);
refs1.resize(4);
TD::ConvertSentence("export of high-tech products in guangdong in first two months this year reached 3.76 billion us dollars", &refs0[0]);
TD::ConvertSentence("guangdong's export of new high technology products amounts to us $ 3.76 billion in first two months of this year", &refs0[1]);
TD::ConvertSentence("guangdong exports us $ 3.76 billion worth of high technology products in the first two months of this year", &refs0[2]);
TD::ConvertSentence("in the first 2 months this year , the export volume of new hi-tech products in guangdong province reached 3.76 billion us dollars .", &refs0[3]);
TD::ConvertSentence("xinhua news agency , guangzhou , march 16 ( reporter chen ji ) the latest statistics show that from january through february this year , the export of high-tech products in guangdong province reached 3.76 billion us dollars , up 34.8 \% over the same period last year and accounted for 25.5 \% of the total export in the province .", &refs1[0]);
TD::ConvertSentence("xinhua news agency , guangzhou , march 16 ( reporter : chen ji ) -- latest statistic indicates that guangdong's export of new high technology products amounts to us $ 3.76 billion , up 34.8 \% over corresponding period and accounts for 25.5 \% of the total exports of the province .", &refs1[1]);
TD::ConvertSentence("xinhua news agency report of march 16 from guangzhou ( by staff reporter chen ji ) - latest statistics indicate guangdong province exported us $ 3.76 billion worth of high technology products , up 34.8 percent from the same period last year , which account for 25.5 percent of the total exports of the province .", &refs1[2]);
TD::ConvertSentence("guangdong , march 16 , ( xinhua ) -- ( chen ji reports ) as the newest statistics shows , in january and feberuary this year , the export volume of new hi-tech products in guangdong province reached 3.76 billion us dollars , up 34.8 \% than last year , making up 25.5 \% of the province's total .", &refs1[3]);
TD::ConvertSentence("one guangdong province will next export us $ 3.76 high-tech product two months first this year 3.76 billion us dollars", &hyp1);
TD::ConvertSentence("xinhua news agency , guangzhou , 16th of march ( reporter chen ) -- latest statistics suggest that guangdong exports new advanced technology product totals $ 3.76 million , 34.8 percent last corresponding period and accounts for 25.5 percent of the total export province .", &hyp2);
}
vector<vector<WordID> > refs0;
vector<vector<WordID> > refs1;
vector<WordID> hyp1;
vector<WordID> hyp2;
};
BOOST_FIXTURE_TEST_SUITE( s, Stuff );
BOOST_AUTO_TEST_CASE(TestCreateFromFiles) {
std::string path(boost::unit_test::framework::master_test_suite().argc == 2 ? boost::unit_test::framework::master_test_suite().argv[1] : TEST_DATA);
vector<string> files;
files.push_back(path + "/re.txt.0");
files.push_back(path + "/re.txt.1");
files.push_back(path + "/re.txt.2");
files.push_back(path + "/re.txt.3");
DocScorer ds(IBM_BLEU, files);
}
BOOST_AUTO_TEST_CASE(TestBLEUScorer) {
ScorerP s1 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs0);
ScorerP s2 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs1);
ScoreP b1 = s1->ScoreCandidate(hyp1);
BOOST_CHECK_CLOSE(0.23185077, b1->ComputeScore(), 1e-4);
ScoreP b2 = s2->ScoreCandidate(hyp2);
BOOST_CHECK_CLOSE(0.38101241, b2->ComputeScore(), 1e-4);
b1->PlusEquals(*b2);
BOOST_CHECK_CLOSE(0.348854, b1->ComputeScore(), 1e-4);
BOOST_CHECK(!b1->IsAdditiveIdentity());
string details;
b1->ScoreDetails(&details);
BOOST_CHECK_EQUAL("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details);
cerr << details << endl;
string enc;
b1->Encode(&enc);
ScoreP b3 = SentenceScorer::CreateScoreFromString(IBM_BLEU, enc);
details.clear();
cerr << "Encoded BLEU score size: " << enc.size() << endl;
b3->ScoreDetails(&details);
cerr << details << endl;
BOOST_CHECK(!b3->IsAdditiveIdentity());
BOOST_CHECK_EQUAL("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details);
ScoreP bz = b3->GetZero();
BOOST_CHECK(bz->IsAdditiveIdentity());
}
BOOST_AUTO_TEST_CASE(TestTERScorer) {
ScorerP s1 = SentenceScorer::CreateSentenceScorer(TER, refs0);
ScorerP s2 = SentenceScorer::CreateSentenceScorer(TER, refs1);
string details;
ScoreP t1 = s1->ScoreCandidate(hyp1);
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
cerr << t1->ComputeScore() << endl;
ScoreP t2 = s2->ScoreCandidate(hyp2);
t2->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
cerr << t2->ComputeScore() << endl;
t1->PlusEquals(*t2);
cerr << t1->ComputeScore() << endl;
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
BOOST_CHECK_EQUAL("TER = 44.16, 4| 8| 16| 6 (len=77)", details);
string enc;
t1->Encode(&enc);
ScoreP t3 = SentenceScorer::CreateScoreFromString(TER, enc);
details.clear();
t3->ScoreDetails(&details);
BOOST_CHECK_EQUAL("TER = 44.16, 4| 8| 16| 6 (len=77)", details);
BOOST_CHECK(!t3->IsAdditiveIdentity());
ScoreP tz = t3->GetZero();
BOOST_CHECK(tz->IsAdditiveIdentity());
}
BOOST_AUTO_TEST_CASE(TestTERScorerSimple) {
vector<vector<WordID> > ref(1);
TD::ConvertSentence("1 2 3 A B", &ref[0]);
vector<WordID> hyp;
TD::ConvertSentence("A B 1 2 3", &hyp);
ScorerP s1 = SentenceScorer::CreateSentenceScorer(TER, ref);
string details;
ScoreP t1 = s1->ScoreCandidate(hyp);
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
}
BOOST_AUTO_TEST_CASE(TestSERScorerSimple) {
vector<vector<WordID> > ref(1);
TD::ConvertSentence("A B C D", &ref[0]);
vector<WordID> hyp1;
TD::ConvertSentence("A B C", &hyp1);
vector<WordID> hyp2;
TD::ConvertSentence("A B C D", &hyp2);
ScorerP s1 = SentenceScorer::CreateSentenceScorer(SER, ref);
string details;
ScoreP t1 = s1->ScoreCandidate(hyp1);
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
ScoreP t2 = s1->ScoreCandidate(hyp2);
t2->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
t2->PlusEquals(*t1);
t2->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
}
BOOST_AUTO_TEST_CASE(TestCombiScorer) {
ScorerP s1 = SentenceScorer::CreateSentenceScorer(BLEU_minus_TER_over_2, refs0);
string details;
ScoreP t1 = s1->ScoreCandidate(hyp1);
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
cerr << t1->ComputeScore() << endl;
string enc;
t1->Encode(&enc);
ScoreP t2 = SentenceScorer::CreateScoreFromString(BLEU_minus_TER_over_2, enc);
details.clear();
t2->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
ScoreP cz = t2->GetZero();
BOOST_CHECK(!t2->IsAdditiveIdentity());
BOOST_CHECK(cz->IsAdditiveIdentity());
cz->PlusEquals(*t2);
BOOST_CHECK(!cz->IsAdditiveIdentity());
string d2;
cz->ScoreDetails(&d2);
BOOST_CHECK_EQUAL(d2, details);
}
BOOST_AUTO_TEST_CASE(AERTest) {
vector<vector<WordID> > refs0(1);
TD::ConvertSentence("0-0 2-1 1-2 3-3", &refs0[0]);
vector<WordID> hyp;
TD::ConvertSentence("0-0 1-1", &hyp);
AERScorer* as = new AERScorer(refs0);
ScoreP x = as->ScoreCandidate(hyp);
string details;
x->ScoreDetails(&details);
cerr << details << endl;
string enc;
x->Encode(&enc);
delete as;
cerr << "ENC size: " << enc.size() << endl;
ScoreP y = SentenceScorer::CreateScoreFromString(AER, enc);
string d2;
y->ScoreDetails(&d2);
cerr << d2 << endl;
BOOST_CHECK_EQUAL(d2, details);
}
BOOST_AUTO_TEST_CASE(Kernel) {
for (int i = 1; i < 10; ++i) {
const float l = (i / 10.0);
float f = ssk<4>(refs0[0], hyp1, l) +
ssk<4>(refs0[1], hyp1, l) +
ssk<4>(refs0[2], hyp1, l) +
ssk<4>(refs0[3], hyp1, l);
float f2= ssk<4>(refs1[0], hyp2, l) +
ssk<4>(refs1[1], hyp2, l) +
ssk<4>(refs1[2], hyp2, l) +
ssk<4>(refs1[3], hyp2, l);
f /= 4;
f2 /= 4;
float f3= ssk<4>(refs0[0], hyp2, l) +
ssk<4>(refs0[1], hyp2, l) +
ssk<4>(refs0[2], hyp2, l) +
ssk<4>(refs0[3], hyp2, l);
float f4= ssk<4>(refs1[0], hyp1, l) +
ssk<4>(refs1[1], hyp1, l) +
ssk<4>(refs1[2], hyp1, l) +
ssk<4>(refs1[3], hyp1, l);
f3 += f4;
f3 /= 8;
cerr << "LAMBDA=" << l << "\t" << f << " " << f2 << "\tf=" << ((f + f2)/2 - f3) << " (bad=" << f3 << ")" << endl;
}
}
BOOST_AUTO_TEST_CASE(NewScoreAPI) {
//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(hyp1, &stats1);
SufficientStats 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;
}
BOOST_AUTO_TEST_CASE(HybridSourceReferenceFileFormat) {
std::string path(boost::unit_test::framework::master_test_suite().argc == 2 ? boost::unit_test::framework::master_test_suite().argv[1] : TEST_DATA);
EvaluationMetric* metric = EvaluationMetric::Instance("IBM_BLEU");
DocumentScorer ds(metric, path + "/devset.txt");
BOOST_CHECK_EQUAL(2, ds.size());
BOOST_CHECK_EQUAL("Quelltext hier .", ds[0]->src);
}
BOOST_AUTO_TEST_SUITE_END()
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