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
|
#ifndef LM_CONFIG__
#define LM_CONFIG__
#include "lm/lm_exception.hh"
#include "util/mmap.hh"
#include <iosfwd>
#include <string>
#include <vector>
/* Configuration for ngram model. Separate header to reduce pollution. */
namespace lm {
class EnumerateVocab;
namespace ngram {
struct Config {
// EFFECTIVE FOR BOTH ARPA AND BINARY READS
// (default true) print progress bar to messages
bool show_progress;
// Where to log messages including the progress bar. Set to NULL for
// silence.
std::ostream *messages;
std::ostream *ProgressMessages() const {
return show_progress ? messages : 0;
}
// This will be called with every string in the vocabulary. See
// enumerate_vocab.hh for more detail. Config does not take ownership; you
// are still responsible for deleting it (or stack allocating).
EnumerateVocab *enumerate_vocab;
// ONLY EFFECTIVE WHEN READING ARPA
// What to do when <unk> isn't in the provided model.
WarningAction unknown_missing;
// What to do when <s> or </s> is missing from the model.
// If THROW_UP, the exception will be of type util::SpecialWordMissingException.
WarningAction sentence_marker_missing;
// What to do with a positive log probability. For COMPLAIN and SILENT, map
// to 0.
WarningAction positive_log_probability;
// The probability to substitute for <unk> if it's missing from the model.
// No effect if the model has <unk> or unknown_missing == THROW_UP.
float unknown_missing_logprob;
// Size multiplier for probing hash table. Must be > 1. Space is linear in
// this. Time is probing_multiplier / (probing_multiplier - 1). No effect
// for sorted variant.
// If you find yourself setting this to a low number, consider using the
// TrieModel which has lower memory consumption.
float probing_multiplier;
// Amount of memory to use for building. The actual memory usage will be
// higher since this just sets sort buffer size. Only applies to trie
// models.
std::size_t building_memory;
// Template for temporary directory appropriate for passing to mkdtemp.
// The characters XXXXXX are appended before passing to mkdtemp. Only
// applies to trie. If NULL, defaults to write_mmap. If that's NULL,
// defaults to input file name.
const char *temporary_directory_prefix;
// Level of complaining to do when loading from ARPA instead of binary format.
enum ARPALoadComplain {ALL, EXPENSIVE, NONE};
ARPALoadComplain arpa_complain;
// While loading an ARPA file, also write out this binary format file. Set
// to NULL to disable.
const char *write_mmap;
enum WriteMethod {
WRITE_MMAP, // Map the file directly.
WRITE_AFTER // Write after we're done.
};
WriteMethod write_method;
// Include the vocab in the binary file? Only effective if write_mmap != NULL.
bool include_vocab;
// Left rest options. Only used when the model includes rest costs.
enum RestFunction {
REST_MAX, // Maximum of any score to the left
REST_LOWER, // Use lower-order files given below.
};
RestFunction rest_function;
// Only used for REST_LOWER.
std::vector<std::string> rest_lower_files;
// Quantization options. Only effective for QuantTrieModel. One value is
// reserved for each of prob and backoff, so 2^bits - 1 buckets will be used
// to quantize (and one of the remaining backoffs will be 0).
uint8_t prob_bits, backoff_bits;
// Bhiksha compression (simple form). Only works with trie.
uint8_t pointer_bhiksha_bits;
// ONLY EFFECTIVE WHEN READING BINARY
// How to get the giant array into memory: lazy mmap, populate, read etc.
// See util/mmap.hh for details of MapMethod.
util::LoadMethod load_method;
// Set defaults.
Config();
};
} /* namespace ngram */ } /* namespace lm */
#endif // LM_CONFIG__
|
