1 files changed, 178 insertions, 0 deletions
diff --git a/vest/scorer_test.cc b/vest/scorer_test.cc
new file mode 100644
index 00000000..fca219cc
--- /dev/null
+++ b/vest/scorer_test.cc
@@ -0,0 +1,178 @@
+#include <iostream>
+#include <fstream>
+#include <valarray>
+#include <gtest/gtest.h>
+
+#include "tdict.h"
+#include "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) {
+  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs0);
+  SentenceScorer* s2 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs1);
+  Score* b1 = s1->ScoreCandidate(hyp1);
+  EXPECT_FLOAT_EQ(0.23185077, b1->ComputeScore());
+  Score* 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);
+  Score* 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);
+  Score* bz = b3->GetZero();
+  EXPECT_TRUE(bz->IsAdditiveIdentity());
+  delete bz;
+  delete b1;
+  delete s1;
+  delete b2;
+  delete s2;
+}
+
+TEST_F(ScorerTest, TestTERScorer) {
+  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(TER, refs0);
+  SentenceScorer* s2 = SentenceScorer::CreateSentenceScorer(TER, refs1);
+  string details;
+  Score* t1 = s1->ScoreCandidate(hyp1);
+  t1->ScoreDetails(&details);
+  cerr << "DETAILS: " << details << endl;
+  cerr << t1->ComputeScore() << endl;
+  Score* 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);
+  Score* 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());
+  Score* tz = t3->GetZero();
+  EXPECT_TRUE(tz->IsAdditiveIdentity());
+  delete tz;
+  delete t3;
+  delete t1;
+  delete s1;
+  delete t2;
+  delete s2;
+}
+
+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);
+  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(TER, ref);
+  string details;
+  Score* t1 = s1->ScoreCandidate(hyp);
+  t1->ScoreDetails(&details);
+  cerr << "DETAILS: " << details << endl;
+  delete t1;
+  delete s1;
+}
+
+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);
+  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(SER, ref);
+  string details;
+  Score* t1 = s1->ScoreCandidate(hyp1);
+  t1->ScoreDetails(&details);
+  cerr << "DETAILS: " << details << endl;
+  Score* t2 = s1->ScoreCandidate(hyp2);
+  t2->ScoreDetails(&details);
+  cerr << "DETAILS: " << details << endl;
+  t2->PlusEquals(*t1);
+  t2->ScoreDetails(&details);
+  cerr << "DETAILS: " << details << endl;
+  delete t1;
+  delete t2;
+  delete s1;
+}
+
+TEST_F(ScorerTest, TestCombiScorer) {
+  SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(BLEU_minus_TER_over_2, refs0);
+  string details;
+  Score* t1 = s1->ScoreCandidate(hyp1);
+  t1->ScoreDetails(&details);
+  cerr << "DETAILS: " << details << endl;
+  cerr << t1->ComputeScore() << endl;
+  string enc;
+  t1->Encode(&enc);
+  Score* t2 = SentenceScorer::CreateScoreFromString(BLEU_minus_TER_over_2, enc);
+  details.clear();
+  t2->ScoreDetails(&details);
+  cerr << "DETAILS: " << details << endl;
+  Score* 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); 
+  delete cz;
+  delete t2;
+  delete t1;
+}
+
+int main(int argc, char **argv) {
+  testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}
+