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
|
// $Id$
// vim:tabstop=2
/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2006 University of Edinburgh
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
***********************************************************************/
#include "LexicalReorderingTableCompact.h"
namespace Moses
{
LexicalReorderingTableCompact::LexicalReorderingTableCompact(
const std::string& filePath,
const std::vector<FactorType>& f_factors,
const std::vector<FactorType>& e_factors,
const std::vector<FactorType>& c_factors)
: LexicalReorderingTable(f_factors, e_factors, c_factors),
m_inMemory(StaticData::Instance().UseMinlexrInMemory()),
m_numScoreComponent(6), m_multipleScoreTrees(true),
m_hash(10, 16), m_scoreTrees(1)
{
Load(filePath);
}
LexicalReorderingTableCompact::LexicalReorderingTableCompact(
const std::vector<FactorType>& f_factors,
const std::vector<FactorType>& e_factors,
const std::vector<FactorType>& c_factors)
: LexicalReorderingTable(f_factors, e_factors, c_factors),
m_inMemory(StaticData::Instance().UseMinlexrInMemory()),
m_numScoreComponent(6), m_multipleScoreTrees(true),
m_hash(10, 16), m_scoreTrees(1)
{ }
LexicalReorderingTableCompact::~LexicalReorderingTableCompact()
{
for(size_t i = 0; i < m_scoreTrees.size(); i++)
delete m_scoreTrees[i];
}
std::vector<float> LexicalReorderingTableCompact::GetScore(const Phrase& f,
const Phrase& e,
const Phrase& c)
{
std::string key;
Scores scores;
if(0 == c.GetSize())
key = MakeKey(f, e, c);
else
for(size_t i = 0; i <= c.GetSize(); ++i) {
Phrase sub_c(c.GetSubString(WordsRange(i,c.GetSize()-1)));
key = MakeKey(f,e,sub_c);
}
size_t index = m_hash[key];
if(m_hash.GetSize() != index) {
std::string scoresString;
if(m_inMemory)
scoresString = m_scoresMemory[index];
else
scoresString = m_scoresMapped[index];
BitWrapper<> bitStream(scoresString);
for(size_t i = 0; i < m_numScoreComponent; i++)
scores.push_back(m_scoreTrees[m_multipleScoreTrees ? i : 0]->Read(bitStream));
return scores;
}
return Scores();
}
std::string LexicalReorderingTableCompact::MakeKey(const Phrase& f,
const Phrase& e,
const Phrase& c) const
{
return MakeKey(Trim(f.GetStringRep(m_FactorsF)),
Trim(e.GetStringRep(m_FactorsE)),
Trim(c.GetStringRep(m_FactorsC)));
}
std::string LexicalReorderingTableCompact::MakeKey(const std::string& f,
const std::string& e,
const std::string& c) const
{
std::string key;
if(!f.empty()) {
key += f;
}
if(!m_FactorsE.empty()) {
if(!key.empty()) {
key += " ||| ";
}
key += e;
}
if(!m_FactorsC.empty()) {
if(!key.empty()) {
key += " ||| ";
}
key += c;
}
key += " ||| ";
return key;
}
LexicalReorderingTable* LexicalReorderingTableCompact::CheckAndLoad(
const std::string& filePath,
const std::vector<FactorType>& f_factors,
const std::vector<FactorType>& e_factors,
const std::vector<FactorType>& c_factors)
{
#ifdef HAVE_CMPH
std::string minlexr = ".minlexr";
// file name is specified without suffix
if(FileExists(filePath + minlexr)) {
//there exists a compact binary version use that
VERBOSE(2,"Using compact lexical reordering table" << std::endl);
return new LexicalReorderingTableCompact(filePath + minlexr, f_factors, e_factors, c_factors);
}
// file name is specified with suffix
if(filePath.substr(filePath.length() - minlexr.length(), minlexr.length()) == minlexr
&& FileExists(filePath)) {
//there exists a compact binary version use that
VERBOSE(2,"Using compact lexical reordering table" << std::endl);
return new LexicalReorderingTableCompact(filePath, f_factors, e_factors, c_factors);
}
#endif
return 0;
}
void LexicalReorderingTableCompact::Load(std::string filePath)
{
std::FILE* pFile = std::fopen(filePath.c_str(), "r");
if(m_inMemory)
m_hash.Load(pFile);
else
m_hash.LoadIndex(pFile);
size_t read = 0;
read += std::fread(&m_numScoreComponent, sizeof(m_numScoreComponent), 1, pFile);
read += std::fread(&m_multipleScoreTrees, sizeof(m_multipleScoreTrees), 1, pFile);
if(m_multipleScoreTrees) {
m_scoreTrees.resize(m_numScoreComponent);
for(size_t i = 0; i < m_numScoreComponent; i++)
m_scoreTrees[i] = new CanonicalHuffman<float>(pFile);
} else {
m_scoreTrees.resize(1);
m_scoreTrees[0] = new CanonicalHuffman<float>(pFile);
}
if(m_inMemory)
m_scoresMemory.load(pFile, false);
else
m_scoresMapped.load(pFile, true);
}
}
|