1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
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();
}
|
