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-rw-r--r--mteval/scorer_test.cc182
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diff --git a/mteval/scorer_test.cc b/mteval/scorer_test.cc
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+++ b/mteval/scorer_test.cc
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+#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();
+}
+