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
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
|
/**
* Extract features and score statistics from nvest file, optionally merging with
* those from the previous iteration.
* Developed during the 2nd MT marathon.
**/
#include <iostream>
#include <string>
#include <vector>
#include <getopt.h>
#include <boost/scoped_ptr.hpp>
#include "Data.h"
#include "Scorer.h"
#include "ScorerFactory.h"
#include "Timer.h"
#include "Util.h"
using namespace std;
namespace {
void usage()
{
cerr << "usage: extractor [options])" << endl;
cerr << "[--sctype|-s] the scorer type (default BLEU)" << endl;
cerr << "[--scconfig|-c] configuration string passed to scorer" << endl;
cerr << "\tThis is of the form NAME1:VAL1,NAME2:VAL2 etc " << endl;
cerr << "[--reference|-r] comma separated list of reference files" << endl;
cerr << "[--binary|-b] use binary output format (default to text )" << endl;
cerr << "[--nbest|-n] the nbest file" << endl;
cerr << "[--scfile|-S] the scorer data output file" << endl;
cerr << "[--ffile|-F] the feature data output file" << endl;
cerr << "[--prev-ffile|-E] comma separated list of previous feature data" << endl;
cerr << "[--prev-scfile|-R] comma separated list of previous scorer data" << endl;
cerr << "[--factors|-f] list of factors passed to the scorer (e.g. 0|2)" << endl;
cerr << "[--filter|-l] filter command used to preprocess the sentences" << endl;
cerr << "[-v] verbose level" << endl;
cerr << "[--help|-h] print this message and exit" << endl;
exit(1);
}
static struct option long_options[] = {
{"sctype", required_argument, 0, 's'},
{"scconfig", required_argument,0, 'c'},
{"factors", required_argument,0, 'f'},
{"filter", required_argument,0, 'l'},
{"reference", required_argument, 0, 'r'},
{"binary", no_argument, 0, 'b'},
{"nbest", required_argument, 0, 'n'},
{"scfile", required_argument, 0, 'S'},
{"ffile", required_argument, 0, 'F'},
{"prev-scfile", required_argument, 0, 'R'},
{"prev-ffile", required_argument, 0, 'E'},
{"verbose", required_argument, 0, 'v'},
{"help", no_argument, 0, 'h'},
{0, 0, 0, 0}
};
// Command line options used in extractor.
struct ProgramOption {
string scorerType;
string scorerConfig;
string scorerFactors;
string scorerFilter;
string referenceFile;
string nbestFile;
string scoreDataFile;
string featureDataFile;
string prevScoreDataFile;
string prevFeatureDataFile;
bool binmode;
int verbosity;
ProgramOption()
: scorerType("BLEU"),
scorerConfig(""),
scorerFactors(""),
scorerFilter(""),
referenceFile(""),
nbestFile(""),
scoreDataFile("statscore.data"),
featureDataFile("features.data"),
prevScoreDataFile(""),
prevFeatureDataFile(""),
binmode(false),
verbosity(0) { }
};
void ParseCommandOptions(int argc, char** argv, ProgramOption* opt) {
int c;
int option_index;
while ((c = getopt_long(argc, argv, "s:r:f:l:n:S:F:R:E:v:hb", long_options, &option_index)) != -1) {
switch (c) {
case 's':
opt->scorerType = string(optarg);
break;
case 'c':
opt->scorerConfig = string(optarg);
break;
case 'f':
opt->scorerFactors = string(optarg);
break;
case 'l':
opt->scorerFilter = string(optarg);
break;
case 'r':
opt->referenceFile = string(optarg);
break;
case 'b':
opt->binmode = true;
break;
case 'n':
opt->nbestFile = string(optarg);
break;
case 'S':
opt->scoreDataFile = string(optarg);
break;
case 'F':
opt->featureDataFile = string(optarg);
break;
case 'E':
opt->prevFeatureDataFile = string(optarg);
break;
case 'R':
opt->prevScoreDataFile = string(optarg);
break;
case 'v':
opt->verbosity = atoi(optarg);
break;
default:
usage();
}
}
}
} // anonymous namespace
int main(int argc, char** argv)
{
ResetUserTime();
ProgramOption option;
ParseCommandOptions(argc, argv, &option);
try {
// check whether score statistics file is specified
if (option.scoreDataFile.length() == 0) {
throw runtime_error("Error: output score statistics file is not specified");
}
// check wheter feature file is specified
if (option.featureDataFile.length() == 0) {
throw runtime_error("Error: output feature file is not specified");
}
// check whether reference file is specified when nbest is specified
if ((option.nbestFile.length() > 0 && option.referenceFile.length() == 0)) {
throw runtime_error("Error: reference file is not specified; you can not score the nbest");
}
vector<string> nbestFiles;
if (option.nbestFile.length() > 0) {
Tokenize(option.nbestFile.c_str(), ',', &nbestFiles);
}
vector<string> referenceFiles;
if (option.referenceFile.length() > 0) {
Tokenize(option.referenceFile.c_str(), ',', &referenceFiles);
}
vector<string> prevScoreDataFiles;
if (option.prevScoreDataFile.length() > 0) {
Tokenize(option.prevScoreDataFile.c_str(), ',', &prevScoreDataFiles);
}
vector<string> prevFeatureDataFiles;
if (option.prevFeatureDataFile.length() > 0) {
Tokenize(option.prevFeatureDataFile.c_str(), ',', &prevFeatureDataFiles);
}
if (prevScoreDataFiles.size() != prevFeatureDataFiles.size()) {
throw runtime_error("Error: there is a different number of previous score and feature files");
}
if (option.binmode) {
cerr << "Binary write mode is selected" << endl;
} else {
cerr << "Binary write mode is NOT selected" << endl;
}
TRACE_ERR("Scorer type: " << option.scorerType << endl);
boost::scoped_ptr<Scorer> scorer(
ScorerFactory::getScorer(option.scorerType, option.scorerConfig));
// set Factors and Filter used to preprocess the sentences
scorer->setFactors(option.scorerFactors);
scorer->setFilter(option.scorerFilter);
// load references
if (referenceFiles.size() > 0)
scorer->setReferenceFiles(referenceFiles);
PrintUserTime("References loaded");
Data data(scorer.get());
// load old data
for (size_t i = 0; i < prevScoreDataFiles.size(); i++) {
data.load(prevFeatureDataFiles.at(i), prevScoreDataFiles.at(i));
}
PrintUserTime("Previous data loaded");
// computing score statistics of each nbest file
for (size_t i = 0; i < nbestFiles.size(); i++) {
data.loadNBest(nbestFiles.at(i));
}
PrintUserTime("Nbest entries loaded and scored");
//ADDED_BY_TS
data.removeDuplicates();
//END_ADDED
data.save(option.featureDataFile, option.scoreDataFile, option.binmode);
PrintUserTime("Stopping...");
return EXIT_SUCCESS;
} catch (const exception& e) {
cerr << "Exception: " << e.what() << endl;
return EXIT_FAILURE;
}
}
|
