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
238
239
240
241
|
#include "base_distributions.h"
#include <iostream>
#include "filelib.h"
using namespace std;
TableLookupBase::TableLookupBase(const string& fname) {
cerr << "TableLookupBase reading from " << fname << " ..." << endl;
ReadFile rf(fname);
istream& in = *rf.stream();
string line;
unsigned lc = 0;
const WordID kDIV = TD::Convert("|||");
vector<WordID> tmp;
vector<int> le, lf;
TRule x;
x.lhs_ = -TD::Convert("X");
bool flag = false;
while(getline(in, line)) {
++lc;
if (lc % 1000000 == 0) { cerr << " [" << lc << ']' << endl; flag = false; }
else if (lc % 25000 == 0) { cerr << '.' << flush; flag = true; }
tmp.clear();
TD::ConvertSentence(line, &tmp);
x.f_.clear();
x.e_.clear();
size_t pos = 0;
int cc = 0;
while(pos < tmp.size()) {
const WordID cur = tmp[pos++];
if (cur == kDIV) {
++cc;
} else if (cc == 0) {
x.f_.push_back(cur);
} else if (cc == 1) {
x.e_.push_back(cur);
} else if (cc == 2) {
table[x].logeq(atof(TD::Convert(cur)));
++cc;
} else {
if (flag) cerr << endl;
cerr << "Bad format in " << lc << ": " << line << endl; abort();
}
}
if (cc != 3) {
if (flag) cerr << endl;
cerr << "Bad format in " << lc << ": " << line << endl; abort();
}
}
if (flag) cerr << endl;
cerr << " read " << lc << " entries\n";
}
prob_t PhraseConditionalUninformativeUnigramBase::p0(const vector<WordID>& vsrc,
const vector<WordID>& vtrg,
int start_src, int start_trg) const {
const int flen = vsrc.size() - start_src;
const int elen = vtrg.size() - start_trg;
prob_t p;
p.logeq(Md::log_poisson(elen, flen + 0.01)); // elen | flen ~Pois(flen + 0.01)
//p.logeq(log_poisson(elen, 1)); // elen | flen ~Pois(flen + 0.01)
for (int i = 0; i < elen; ++i)
p *= u(vtrg[i + start_trg]); // draw e_i ~Uniform
return p;
}
prob_t PhraseConditionalUninformativeBase::p0(const vector<WordID>& vsrc,
const vector<WordID>& vtrg,
int start_src, int start_trg) const {
const int flen = vsrc.size() - start_src;
const int elen = vtrg.size() - start_trg;
prob_t p;
//p.logeq(log_poisson(elen, flen + 0.01)); // elen | flen ~Pois(flen + 0.01)
p.logeq(Md::log_poisson(elen, 1)); // elen | flen ~Pois(flen + 0.01)
for (int i = 0; i < elen; ++i)
p *= kUNIFORM_TARGET; // draw e_i ~Uniform
return p;
}
void Model1::LoadModel1(const string& fname) {
cerr << "Loading Model 1 parameters from " << fname << " ..." << endl;
ReadFile rf(fname);
istream& in = *rf.stream();
string line;
unsigned lc = 0;
while(getline(in, line)) {
++lc;
int cur = 0;
int start = 0;
while(cur < line.size() && line[cur] != ' ') { ++cur; }
assert(cur != line.size());
line[cur] = 0;
const WordID src = TD::Convert(&line[0]);
++cur;
start = cur;
while(cur < line.size() && line[cur] != ' ') { ++cur; }
assert(cur != line.size());
line[cur] = 0;
WordID trg = TD::Convert(&line[start]);
const double logprob = strtod(&line[cur + 1], NULL);
if (src >= ttable.size()) ttable.resize(src + 1);
ttable[src][trg].logeq(logprob);
}
cerr << " read " << lc << " parameters.\n";
}
prob_t PhraseConditionalBase::p0(const vector<WordID>& vsrc,
const vector<WordID>& vtrg,
int start_src, int start_trg) const {
const int flen = vsrc.size() - start_src;
const int elen = vtrg.size() - start_trg;
prob_t uniform_src_alignment; uniform_src_alignment.logeq(-log(flen + 1));
prob_t p;
p.logeq(Md::log_poisson(elen, flen + 0.01)); // elen | flen ~Pois(flen + 0.01)
for (int i = 0; i < elen; ++i) { // for each position i in e-RHS
const WordID trg = vtrg[i + start_trg];
prob_t tp = prob_t::Zero();
for (int j = -1; j < flen; ++j) {
const WordID src = j < 0 ? 0 : vsrc[j + start_src];
tp += kM1MIXTURE * model1(src, trg);
tp += kUNIFORM_MIXTURE * kUNIFORM_TARGET;
}
tp *= uniform_src_alignment; // draw a_i ~uniform
p *= tp; // draw e_i ~Model1(f_a_i) / uniform
}
if (p.is_0()) {
cerr << "Zero! " << vsrc << "\nTRG=" << vtrg << endl;
abort();
}
return p;
}
prob_t PhraseJointBase::p0(const vector<WordID>& vsrc,
const vector<WordID>& vtrg,
int start_src, int start_trg) const {
const int flen = vsrc.size() - start_src;
const int elen = vtrg.size() - start_trg;
prob_t uniform_src_alignment; uniform_src_alignment.logeq(-log(flen + 1));
prob_t p;
p.logeq(Md::log_poisson(flen, 1.0)); // flen ~Pois(1)
// elen | flen ~Pois(flen + 0.01)
prob_t ptrglen; ptrglen.logeq(Md::log_poisson(elen, flen + 0.01));
p *= ptrglen;
p *= kUNIFORM_SOURCE.pow(flen); // each f in F ~Uniform
for (int i = 0; i < elen; ++i) { // for each position i in E
const WordID trg = vtrg[i + start_trg];
prob_t tp = prob_t::Zero();
for (int j = -1; j < flen; ++j) {
const WordID src = j < 0 ? 0 : vsrc[j + start_src];
tp += kM1MIXTURE * model1(src, trg);
tp += kUNIFORM_MIXTURE * kUNIFORM_TARGET;
}
tp *= uniform_src_alignment; // draw a_i ~uniform
p *= tp; // draw e_i ~Model1(f_a_i) / uniform
}
if (p.is_0()) {
cerr << "Zero! " << vsrc << "\nTRG=" << vtrg << endl;
abort();
}
return p;
}
prob_t PhraseJointBase_BiDir::p0(const vector<WordID>& vsrc,
const vector<WordID>& vtrg,
int start_src, int start_trg) const {
const int flen = vsrc.size() - start_src;
const int elen = vtrg.size() - start_trg;
prob_t uniform_src_alignment; uniform_src_alignment.logeq(-log(flen + 1));
prob_t uniform_trg_alignment; uniform_trg_alignment.logeq(-log(elen + 1));
prob_t p1;
p1.logeq(Md::log_poisson(flen, 1.0)); // flen ~Pois(1)
// elen | flen ~Pois(flen + 0.01)
prob_t ptrglen; ptrglen.logeq(Md::log_poisson(elen, flen + 0.01));
p1 *= ptrglen;
p1 *= kUNIFORM_SOURCE.pow(flen); // each f in F ~Uniform
for (int i = 0; i < elen; ++i) { // for each position i in E
const WordID trg = vtrg[i + start_trg];
prob_t tp = prob_t::Zero();
for (int j = -1; j < flen; ++j) {
const WordID src = j < 0 ? 0 : vsrc[j + start_src];
tp += kM1MIXTURE * model1(src, trg);
tp += kUNIFORM_MIXTURE * kUNIFORM_TARGET;
}
tp *= uniform_src_alignment; // draw a_i ~uniform
p1 *= tp; // draw e_i ~Model1(f_a_i) / uniform
}
if (p1.is_0()) {
cerr << "Zero! " << vsrc << "\nTRG=" << vtrg << endl;
abort();
}
prob_t p2;
p2.logeq(Md::log_poisson(elen, 1.0)); // elen ~Pois(1)
// flen | elen ~Pois(flen + 0.01)
prob_t psrclen; psrclen.logeq(Md::log_poisson(flen, elen + 0.01));
p2 *= psrclen;
p2 *= kUNIFORM_TARGET.pow(elen); // each f in F ~Uniform
for (int i = 0; i < flen; ++i) { // for each position i in E
const WordID src = vsrc[i + start_src];
prob_t tp = prob_t::Zero();
for (int j = -1; j < elen; ++j) {
const WordID trg = j < 0 ? 0 : vtrg[j + start_trg];
tp += kM1MIXTURE * invmodel1(trg, src);
tp += kUNIFORM_MIXTURE * kUNIFORM_SOURCE;
}
tp *= uniform_trg_alignment; // draw a_i ~uniform
p2 *= tp; // draw e_i ~Model1(f_a_i) / uniform
}
if (p2.is_0()) {
cerr << "Zero! " << vsrc << "\nTRG=" << vtrg << endl;
abort();
}
static const prob_t kHALF(0.5);
return (p1 + p2) * kHALF;
}
JumpBase::JumpBase() : p(200) {
for (unsigned src_len = 1; src_len < 200; ++src_len) {
map<int, prob_t>& cpd = p[src_len];
int min_jump = 1 - src_len;
int max_jump = src_len;
prob_t z;
for (int j = min_jump; j <= max_jump; ++j) {
prob_t& cp = cpd[j];
if (j < 0)
cp.logeq(Md::log_poisson(1.5-j, 1));
else if (j > 0)
cp.logeq(Md::log_poisson(j, 1));
cp.poweq(0.2);
z += cp;
}
for (int j = min_jump; j <= max_jump; ++j) {
cpd[j] /= z;
}
}
}
|
