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
|
#include <iostream>
#include <vector>
#include <utility>
#include <cstdlib>
#include <tr1/unordered_map>
#include <boost/functional/hash.hpp>
#include <boost/program_options.hpp>
#include <boost/program_options/variables_map.hpp>
#include "striped_grammar.h"
#include "tdict.h"
#include "sentence_pair.h"
#include "fdict.h"
#include "extract.h"
using namespace std;
using namespace std::tr1;
namespace po = boost::program_options;
static const size_t MAX_LINE_LENGTH = 64000000;
bool use_hadoop_counters = false;
void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
po::options_description opts("Configuration options");
opts.add_options()
("phrase_marginals,p", "Compute phrase marginals")
("use_hadoop_counters,C", "Enable this if running inside Hadoop")
("bidir,b", "Rules are tagged as being F->E or E->F, invert E rules in output")
("help,h", "Print this help message and exit");
po::options_description clo("Command line options");
po::options_description dcmdline_options;
dcmdline_options.add(opts);
po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
po::notify(*conf);
if (conf->count("help")) {
cerr << "\nUsage: mr_stripe_rule_reduce [-options]\n";
cerr << dcmdline_options << endl;
exit(1);
}
}
void PlusEquals(const ID2RuleStatistics& v, ID2RuleStatistics* self) {
for (ID2RuleStatistics::const_iterator it = v.begin(); it != v.end(); ++it) {
RuleStatistics& dest = (*self)[it->first];
dest += it->second;
// TODO - do something smarter about alignments?
if (dest.aligns.empty() && !it->second.aligns.empty())
dest.aligns = it->second.aligns;
}
}
void WriteKeyValue(const vector<WordID>& key, const ID2RuleStatistics& val) {
cout << TD::GetString(key) << '\t';
bool needdiv = false;
for (ID2RuleStatistics::const_iterator it = val.begin(); it != val.end(); ++it) {
if (needdiv) cout << " ||| "; else needdiv = true;
cout << TD::GetString(it->first) << " ||| " << it->second;
}
cout << endl;
if (use_hadoop_counters) cerr << "reporter:counter:UserCounters,RuleCount," << val.size() << endl;
}
void DoPhraseMarginals(const vector<WordID>& key, const bool bidir, ID2RuleStatistics* val) {
static const WordID kF = TD::Convert("F");
static const WordID kE = TD::Convert("E");
static const int kCF = FD::Convert("CF");
static const int kCE = FD::Convert("CE");
static const int kCFE = FD::Convert("CFE");
assert(key.size() > 0);
int cur_marginal_id = kCF;
if (bidir) {
if (key[0] != kF && key[0] != kE) {
cerr << "DoPhraseMarginals expects keys to have the from 'F|E [NT] word word word'\n";
cerr << " but got: " << TD::GetString(key) << endl;
exit(1);
}
if (key[0] == kE) cur_marginal_id = kCE;
}
double tot = 0;
for (ID2RuleStatistics::iterator it = val->begin(); it != val->end(); ++it)
tot += it->second.counts.get(kCFE);
for (ID2RuleStatistics::iterator it = val->begin(); it != val->end(); ++it) {
it->second.counts.set_value(cur_marginal_id, tot);
// prevent double counting of the joint
if (cur_marginal_id == kCE) it->second.counts.erase(kCFE);
}
}
void WriteWithInversions(const vector<WordID>& key, const ID2RuleStatistics& val) {
static const WordID kE = TD::Convert("E");
static const WordID kDIV = TD::Convert("|||");
vector<WordID> new_key(key.size() - 1);
for (int i = 1; i < key.size(); ++i)
new_key[i - 1] = key[i];
const bool do_invert = (key[0] == kE);
if (!do_invert) {
WriteKeyValue(new_key, val);
} else {
ID2RuleStatistics inv;
assert(new_key.size() > 2);
vector<WordID> tk(new_key.size() - 2);
for (int i = 0; i < tk.size(); ++i)
tk[i] = new_key[2 + i];
RuleStatistics& inv_stats = inv[tk];
for (ID2RuleStatistics::const_iterator it = val.begin(); it != val.end(); ++it) {
inv_stats.counts = it->second.counts;
vector<WordID> ekey(2 + it->first.size());
ekey[0] = key[1];
ekey[1] = kDIV;
for (int i = 0; i < it->first.size(); ++i)
ekey[2+i] = it->first[i];
WriteKeyValue(ekey, inv);
}
}
}
struct Reducer {
Reducer(bool phrase_marginals, bool bidir) : pm_(phrase_marginals), bidir_(bidir) {}
void ProcessLine(const vector<WordID>& key, const ID2RuleStatistics& rules) {
if (cur_key_ != key) {
if (cur_key_.size() > 0) Emit();
acc_.clear();
cur_key_ = key;
}
PlusEquals(rules, &acc_);
}
~Reducer() {
Emit();
}
void Emit() {
if (pm_)
DoPhraseMarginals(cur_key_, bidir_, &acc_);
if (bidir_)
WriteWithInversions(cur_key_, acc_);
else
WriteKeyValue(cur_key_, acc_);
}
const bool pm_;
const bool bidir_;
vector<WordID> cur_key_;
ID2RuleStatistics acc_;
};
void cb(const vector<WordID>& key, const ID2RuleStatistics& contexts, void* red) {
static_cast<Reducer*>(red)->ProcessLine(key, contexts);
}
int main(int argc, char** argv) {
po::variables_map conf;
InitCommandLine(argc, argv, &conf);
char* buf = new char[MAX_LINE_LENGTH];
vector<WordID> key, cur_key;
int line = 0;
use_hadoop_counters = conf.count("use_hadoop_counters") > 0;
const bool phrase_marginals = conf.count("phrase_marginals") > 0;
const bool bidir = conf.count("bidir") > 0;
Reducer reducer(phrase_marginals, bidir);
StripedGrammarLexer::ReadContexts(&cin, cb, &reducer);
return 0;
}
|
