#include <iostream> #include <fstream> #include <valarray> #include <gtest/gtest.h> #include "tdict.h" #include "scorer.h" #include "aer_scorer.h" using namespace std; class ScorerTest : public testing::Test { protected: virtual void SetUp() { 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); } virtual void TearDown() { } vector<vector<WordID> > refs0; vector<vector<WordID> > refs1; vector<WordID> hyp1; vector<WordID> hyp2; }; TEST_F(ScorerTest, TestCreateFromFiles) { vector<string> files; files.push_back("test_data/re.txt.0"); files.push_back("test_data/re.txt.1"); files.push_back("test_data/re.txt.2"); files.push_back("test_data/re.txt.3"); DocScorer ds(IBM_BLEU, files); } TEST_F(ScorerTest, TestBLEUScorer) { ScorerP s1 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs0); ScorerP s2 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs1); ScoreP b1 = s1->ScoreCandidate(hyp1); EXPECT_FLOAT_EQ(0.23185077, b1->ComputeScore()); ScoreP b2 = s2->ScoreCandidate(hyp2); EXPECT_FLOAT_EQ(0.38101241, b2->ComputeScore()); b1->PlusEquals(*b2); EXPECT_FLOAT_EQ(0.348854, b1->ComputeScore()); EXPECT_FALSE(b1->IsAdditiveIdentity()); string details; b1->ScoreDetails(&details); EXPECT_EQ("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; EXPECT_FALSE(b3->IsAdditiveIdentity()); EXPECT_EQ("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details); ScoreP bz = b3->GetZero(); EXPECT_TRUE(bz->IsAdditiveIdentity()); } TEST_F(ScorerTest, 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; EXPECT_EQ("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); EXPECT_EQ("TER = 44.16, 4| 8| 16| 6 (len=77)", details); EXPECT_FALSE(t3->IsAdditiveIdentity()); ScoreP tz = t3->GetZero(); EXPECT_TRUE(tz->IsAdditiveIdentity()); } TEST_F(ScorerTest, 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; } TEST_F(ScorerTest, 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; } TEST_F(ScorerTest, 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(); EXPECT_FALSE(t2->IsAdditiveIdentity()); EXPECT_TRUE(cz->IsAdditiveIdentity()); cz->PlusEquals(*t2); EXPECT_FALSE(cz->IsAdditiveIdentity()); string d2; cz->ScoreDetails(&d2); EXPECT_EQ(d2, details); } TEST_F(ScorerTest, 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; EXPECT_EQ(d2, details); } int main(int argc, char **argv) { testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); }