mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-11-30 23:49:05 +08:00
bf0bddb9ca
Signed-off-by: Stefan Weil <sw@weilnetz.de>
858 lines
34 KiB
C++
858 lines
34 KiB
C++
///////////////////////////////////////////////////////////////////////
|
|
// File: dict.cpp
|
|
// Description: dict class.
|
|
// Author: Samuel Charron
|
|
//
|
|
// (C) Copyright 2006, Google Inc.
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
//
|
|
///////////////////////////////////////////////////////////////////////
|
|
|
|
#include <stdio.h>
|
|
|
|
#include "dict.h"
|
|
#include "unicodes.h"
|
|
|
|
#ifdef _MSC_VER
|
|
#pragma warning(disable:4244) // Conversion warnings
|
|
#endif
|
|
#include "tprintf.h"
|
|
|
|
namespace tesseract {
|
|
|
|
class Image;
|
|
|
|
Dict::Dict(CCUtil *ccutil)
|
|
: letter_is_okay_(&tesseract::Dict::def_letter_is_okay),
|
|
probability_in_context_(&tesseract::Dict::def_probability_in_context),
|
|
params_model_classify_(NULL),
|
|
ccutil_(ccutil),
|
|
STRING_MEMBER(user_words_file, "", "A filename of user-provided words.",
|
|
getCCUtil()->params()),
|
|
STRING_INIT_MEMBER(user_words_suffix, "",
|
|
"A suffix of user-provided words located in tessdata.",
|
|
getCCUtil()->params()),
|
|
STRING_MEMBER(user_patterns_file, "",
|
|
"A filename of user-provided patterns.",
|
|
getCCUtil()->params()),
|
|
STRING_INIT_MEMBER(user_patterns_suffix, "",
|
|
"A suffix of user-provided patterns located in "
|
|
"tessdata.",
|
|
getCCUtil()->params()),
|
|
BOOL_INIT_MEMBER(load_system_dawg, true, "Load system word dawg.",
|
|
getCCUtil()->params()),
|
|
BOOL_INIT_MEMBER(load_freq_dawg, true, "Load frequent word dawg.",
|
|
getCCUtil()->params()),
|
|
BOOL_INIT_MEMBER(load_unambig_dawg, true, "Load unambiguous word dawg.",
|
|
getCCUtil()->params()),
|
|
BOOL_INIT_MEMBER(load_punc_dawg, true,
|
|
"Load dawg with punctuation"
|
|
" patterns.",
|
|
getCCUtil()->params()),
|
|
BOOL_INIT_MEMBER(load_number_dawg, true,
|
|
"Load dawg with number"
|
|
" patterns.",
|
|
getCCUtil()->params()),
|
|
BOOL_INIT_MEMBER(load_bigram_dawg, true,
|
|
"Load dawg with special word "
|
|
"bigrams.",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(xheight_penalty_subscripts, 0.125,
|
|
"Score penalty (0.1 = 10%) added if there are subscripts "
|
|
"or superscripts in a word, but it is otherwise OK.",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(xheight_penalty_inconsistent, 0.25,
|
|
"Score penalty (0.1 = 10%) added if an xheight is "
|
|
"inconsistent.",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(segment_penalty_dict_frequent_word, 1.0,
|
|
"Score multiplier for word matches which have good case and"
|
|
" are frequent in the given language (lower is better).",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(segment_penalty_dict_case_ok, 1.1,
|
|
"Score multiplier for word matches that have good case "
|
|
"(lower is better).",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(segment_penalty_dict_case_bad, 1.3125,
|
|
"Default score multiplier for word matches, which may have "
|
|
"case issues (lower is better).",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(segment_penalty_dict_nonword, 1.25,
|
|
"Score multiplier for glyph fragment segmentations which "
|
|
"do not match a dictionary word (lower is better).",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(segment_penalty_garbage, 1.50,
|
|
"Score multiplier for poorly cased strings that are not in"
|
|
" the dictionary and generally look like garbage (lower is"
|
|
" better).",
|
|
getCCUtil()->params()),
|
|
STRING_MEMBER(output_ambig_words_file, "",
|
|
"Output file for ambiguities found in the dictionary",
|
|
getCCUtil()->params()),
|
|
INT_MEMBER(dawg_debug_level, 0,
|
|
"Set to 1 for general debug info"
|
|
", to 2 for more details, to 3 to see all the debug messages",
|
|
getCCUtil()->params()),
|
|
INT_MEMBER(hyphen_debug_level, 0, "Debug level for hyphenated words.",
|
|
getCCUtil()->params()),
|
|
INT_MEMBER(max_viterbi_list_size, 10, "Maximum size of viterbi list.",
|
|
getCCUtil()->params()),
|
|
BOOL_MEMBER(use_only_first_uft8_step, false,
|
|
"Use only the first UTF8 step of the given string"
|
|
" when computing log probabilities.",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(certainty_scale, 20.0, "Certainty scaling factor",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(stopper_nondict_certainty_base, -2.50,
|
|
"Certainty threshold for non-dict words",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(stopper_phase2_certainty_rejection_offset, 1.0,
|
|
"Reject certainty offset", getCCUtil()->params()),
|
|
INT_MEMBER(stopper_smallword_size, 2,
|
|
"Size of dict word to be treated as non-dict word",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(stopper_certainty_per_char, -0.50,
|
|
"Certainty to add"
|
|
" for each dict char above small word size.",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(stopper_allowable_character_badness, 3.0,
|
|
"Max certaintly variation allowed in a word (in sigma)",
|
|
getCCUtil()->params()),
|
|
INT_MEMBER(stopper_debug_level, 0, "Stopper debug level",
|
|
getCCUtil()->params()),
|
|
BOOL_MEMBER(stopper_no_acceptable_choices, false,
|
|
"Make AcceptableChoice() always return false. Useful"
|
|
" when there is a need to explore all segmentations",
|
|
getCCUtil()->params()),
|
|
INT_MEMBER(tessedit_truncate_wordchoice_log, 10,
|
|
"Max words to keep in list", getCCUtil()->params()),
|
|
STRING_MEMBER(word_to_debug, "",
|
|
"Word for which stopper debug"
|
|
" information should be printed to stdout",
|
|
getCCUtil()->params()),
|
|
STRING_MEMBER(word_to_debug_lengths, "",
|
|
"Lengths of unichars in word_to_debug",
|
|
getCCUtil()->params()),
|
|
INT_MEMBER(fragments_debug, 0, "Debug character fragments",
|
|
getCCUtil()->params()),
|
|
BOOL_MEMBER(segment_nonalphabetic_script, false,
|
|
"Don't use any alphabetic-specific tricks."
|
|
" Set to true in the traineddata config file for"
|
|
" scripts that are cursive or inherently fixed-pitch",
|
|
getCCUtil()->params()),
|
|
BOOL_MEMBER(save_doc_words, 0, "Save Document Words",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(doc_dict_pending_threshold, 0.0,
|
|
"Worst certainty for using pending dictionary",
|
|
getCCUtil()->params()),
|
|
double_MEMBER(doc_dict_certainty_threshold, -2.25,
|
|
"Worst certainty for words that can be inserted into the"
|
|
" document dictionary",
|
|
getCCUtil()->params()),
|
|
INT_MEMBER(max_permuter_attempts, 10000,
|
|
"Maximum number of different"
|
|
" character choices to consider during permutation."
|
|
" This limit is especially useful when user patterns"
|
|
" are specified, since overly generic patterns can result in"
|
|
" dawg search exploring an overly large number of options.",
|
|
getCCUtil()->params()) {
|
|
dang_ambigs_table_ = NULL;
|
|
replace_ambigs_table_ = NULL;
|
|
reject_offset_ = 0.0;
|
|
go_deeper_fxn_ = NULL;
|
|
hyphen_word_ = NULL;
|
|
last_word_on_line_ = false;
|
|
hyphen_unichar_id_ = INVALID_UNICHAR_ID;
|
|
document_words_ = NULL;
|
|
dawg_cache_ = NULL;
|
|
dawg_cache_is_ours_ = false;
|
|
pending_words_ = NULL;
|
|
bigram_dawg_ = NULL;
|
|
freq_dawg_ = NULL;
|
|
punc_dawg_ = NULL;
|
|
unambig_dawg_ = NULL;
|
|
wordseg_rating_adjust_factor_ = -1.0f;
|
|
output_ambig_words_file_ = NULL;
|
|
}
|
|
|
|
Dict::~Dict() {
|
|
End();
|
|
delete hyphen_word_;
|
|
if (output_ambig_words_file_ != NULL) fclose(output_ambig_words_file_);
|
|
}
|
|
|
|
DawgCache *Dict::GlobalDawgCache() {
|
|
// This global cache (a singleton) will outlive every Tesseract instance
|
|
// (even those that someone else might declare as global statics).
|
|
static DawgCache cache;
|
|
return &cache;
|
|
}
|
|
|
|
// Sets up ready for a Load or LoadLSTM.
|
|
void Dict::SetupForLoad(DawgCache *dawg_cache) {
|
|
if (dawgs_.length() != 0) this->End();
|
|
|
|
apostrophe_unichar_id_ = getUnicharset().unichar_to_id(kApostropheSymbol);
|
|
question_unichar_id_ = getUnicharset().unichar_to_id(kQuestionSymbol);
|
|
slash_unichar_id_ = getUnicharset().unichar_to_id(kSlashSymbol);
|
|
hyphen_unichar_id_ = getUnicharset().unichar_to_id(kHyphenSymbol);
|
|
|
|
if (dawg_cache != NULL) {
|
|
dawg_cache_ = dawg_cache;
|
|
dawg_cache_is_ours_ = false;
|
|
} else {
|
|
dawg_cache_ = new DawgCache();
|
|
dawg_cache_is_ours_ = true;
|
|
}
|
|
}
|
|
|
|
// Loads the dawgs needed by Tesseract. Call FinishLoad() after.
|
|
void Dict::Load(const STRING &lang, TessdataManager *data_file) {
|
|
// Load dawgs_.
|
|
if (load_punc_dawg) {
|
|
punc_dawg_ = dawg_cache_->GetSquishedDawg(lang, TESSDATA_PUNC_DAWG,
|
|
dawg_debug_level, data_file);
|
|
if (punc_dawg_) dawgs_ += punc_dawg_;
|
|
}
|
|
if (load_system_dawg) {
|
|
Dawg *system_dawg = dawg_cache_->GetSquishedDawg(
|
|
lang, TESSDATA_SYSTEM_DAWG, dawg_debug_level, data_file);
|
|
if (system_dawg) dawgs_ += system_dawg;
|
|
}
|
|
if (load_number_dawg) {
|
|
Dawg *number_dawg = dawg_cache_->GetSquishedDawg(
|
|
lang, TESSDATA_NUMBER_DAWG, dawg_debug_level, data_file);
|
|
if (number_dawg) dawgs_ += number_dawg;
|
|
}
|
|
if (load_bigram_dawg) {
|
|
bigram_dawg_ = dawg_cache_->GetSquishedDawg(lang, TESSDATA_BIGRAM_DAWG,
|
|
dawg_debug_level, data_file);
|
|
// The bigram_dawg_ is NOT used like the other dawgs! DO NOT add to the
|
|
// dawgs_!!
|
|
}
|
|
if (load_freq_dawg) {
|
|
freq_dawg_ = dawg_cache_->GetSquishedDawg(lang, TESSDATA_FREQ_DAWG,
|
|
dawg_debug_level, data_file);
|
|
if (freq_dawg_) dawgs_ += freq_dawg_;
|
|
}
|
|
if (load_unambig_dawg) {
|
|
unambig_dawg_ = dawg_cache_->GetSquishedDawg(lang, TESSDATA_UNAMBIG_DAWG,
|
|
dawg_debug_level, data_file);
|
|
if (unambig_dawg_) dawgs_ += unambig_dawg_;
|
|
}
|
|
|
|
STRING name;
|
|
if (((STRING &)user_words_suffix).length() > 0 ||
|
|
((STRING &)user_words_file).length() > 0) {
|
|
Trie *trie_ptr = new Trie(DAWG_TYPE_WORD, lang, USER_DAWG_PERM,
|
|
getUnicharset().size(), dawg_debug_level);
|
|
if (((STRING &)user_words_file).length() > 0) {
|
|
name = user_words_file;
|
|
} else {
|
|
name = getCCUtil()->language_data_path_prefix;
|
|
name += user_words_suffix;
|
|
}
|
|
if (!trie_ptr->read_and_add_word_list(name.string(), getUnicharset(),
|
|
Trie::RRP_REVERSE_IF_HAS_RTL)) {
|
|
tprintf("Error: failed to load %s\n", name.string());
|
|
delete trie_ptr;
|
|
} else {
|
|
dawgs_ += trie_ptr;
|
|
}
|
|
}
|
|
|
|
if (((STRING &)user_patterns_suffix).length() > 0 ||
|
|
((STRING &)user_patterns_file).length() > 0) {
|
|
Trie *trie_ptr = new Trie(DAWG_TYPE_PATTERN, lang, USER_PATTERN_PERM,
|
|
getUnicharset().size(), dawg_debug_level);
|
|
trie_ptr->initialize_patterns(&(getUnicharset()));
|
|
if (((STRING &)user_patterns_file).length() > 0) {
|
|
name = user_patterns_file;
|
|
} else {
|
|
name = getCCUtil()->language_data_path_prefix;
|
|
name += user_patterns_suffix;
|
|
}
|
|
if (!trie_ptr->read_pattern_list(name.string(), getUnicharset())) {
|
|
tprintf("Error: failed to load %s\n", name.string());
|
|
delete trie_ptr;
|
|
} else {
|
|
dawgs_ += trie_ptr;
|
|
}
|
|
}
|
|
|
|
document_words_ = new Trie(DAWG_TYPE_WORD, lang, DOC_DAWG_PERM,
|
|
getUnicharset().size(), dawg_debug_level);
|
|
dawgs_ += document_words_;
|
|
|
|
// This dawg is temporary and should not be searched by letter_is_ok.
|
|
pending_words_ = new Trie(DAWG_TYPE_WORD, lang, NO_PERM,
|
|
getUnicharset().size(), dawg_debug_level);
|
|
}
|
|
|
|
// Loads the dawgs needed by the LSTM model. Call FinishLoad() after.
|
|
void Dict::LoadLSTM(const STRING &lang, TessdataManager *data_file) {
|
|
// Load dawgs_.
|
|
if (load_punc_dawg) {
|
|
punc_dawg_ = dawg_cache_->GetSquishedDawg(lang, TESSDATA_LSTM_PUNC_DAWG,
|
|
dawg_debug_level, data_file);
|
|
if (punc_dawg_) dawgs_ += punc_dawg_;
|
|
}
|
|
if (load_system_dawg) {
|
|
Dawg *system_dawg = dawg_cache_->GetSquishedDawg(
|
|
lang, TESSDATA_LSTM_SYSTEM_DAWG, dawg_debug_level, data_file);
|
|
if (system_dawg) dawgs_ += system_dawg;
|
|
}
|
|
if (load_number_dawg) {
|
|
Dawg *number_dawg = dawg_cache_->GetSquishedDawg(
|
|
lang, TESSDATA_LSTM_NUMBER_DAWG, dawg_debug_level, data_file);
|
|
if (number_dawg) dawgs_ += number_dawg;
|
|
}
|
|
}
|
|
|
|
// Completes the loading process after Load() and/or LoadLSTM().
|
|
// Returns false if no dictionaries were loaded.
|
|
bool Dict::FinishLoad() {
|
|
if (dawgs_.empty()) return false;
|
|
// Construct a list of corresponding successors for each dawg. Each entry, i,
|
|
// in the successors_ vector is a vector of integers that represent the
|
|
// indices into the dawgs_ vector of the successors for dawg i.
|
|
successors_.reserve(dawgs_.length());
|
|
for (int i = 0; i < dawgs_.length(); ++i) {
|
|
const Dawg *dawg = dawgs_[i];
|
|
SuccessorList *lst = new SuccessorList();
|
|
for (int j = 0; j < dawgs_.length(); ++j) {
|
|
const Dawg *other = dawgs_[j];
|
|
if (dawg != NULL && other != NULL &&
|
|
(dawg->lang() == other->lang()) &&
|
|
kDawgSuccessors[dawg->type()][other->type()]) *lst += j;
|
|
}
|
|
successors_ += lst;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
void Dict::End() {
|
|
if (dawgs_.length() == 0)
|
|
return; // Not safe to call twice.
|
|
for (int i = 0; i < dawgs_.size(); i++) {
|
|
if (!dawg_cache_->FreeDawg(dawgs_[i])) {
|
|
delete dawgs_[i];
|
|
}
|
|
}
|
|
dawg_cache_->FreeDawg(bigram_dawg_);
|
|
if (dawg_cache_is_ours_) {
|
|
delete dawg_cache_;
|
|
dawg_cache_ = NULL;
|
|
}
|
|
successors_.delete_data_pointers();
|
|
dawgs_.clear();
|
|
successors_.clear();
|
|
document_words_ = NULL;
|
|
delete pending_words_;
|
|
pending_words_ = NULL;
|
|
}
|
|
|
|
// Returns true if in light of the current state unichar_id is allowed
|
|
// according to at least one of the dawgs in the dawgs_ vector.
|
|
// See more extensive comments in dict.h where this function is declared.
|
|
int Dict::def_letter_is_okay(void* void_dawg_args,
|
|
UNICHAR_ID unichar_id,
|
|
bool word_end) const {
|
|
DawgArgs *dawg_args = static_cast<DawgArgs *>(void_dawg_args);
|
|
|
|
if (dawg_debug_level >= 3) {
|
|
tprintf("def_letter_is_okay: current unichar=%s word_end=%d"
|
|
" num active dawgs=%d\n",
|
|
getUnicharset().debug_str(unichar_id).string(), word_end,
|
|
dawg_args->active_dawgs->length());
|
|
}
|
|
|
|
// Do not accept words that contain kPatternUnicharID.
|
|
// (otherwise pattern dawgs would not function correctly).
|
|
// Do not accept words containing INVALID_UNICHAR_IDs.
|
|
if (unichar_id == Dawg::kPatternUnicharID ||
|
|
unichar_id == INVALID_UNICHAR_ID) {
|
|
dawg_args->permuter = NO_PERM;
|
|
return NO_PERM;
|
|
}
|
|
|
|
// Initialization.
|
|
PermuterType curr_perm = NO_PERM;
|
|
dawg_args->updated_dawgs->clear();
|
|
dawg_args->valid_end = false;
|
|
|
|
// Go over the active_dawgs vector and insert DawgPosition records
|
|
// with the updated ref (an edge with the corresponding unichar id) into
|
|
// dawg_args->updated_pos.
|
|
for (int a = 0; a < dawg_args->active_dawgs->length(); ++a) {
|
|
const DawgPosition &pos = (*dawg_args->active_dawgs)[a];
|
|
const Dawg *punc_dawg = pos.punc_index >= 0 ? dawgs_[pos.punc_index] : NULL;
|
|
const Dawg *dawg = pos.dawg_index >= 0 ? dawgs_[pos.dawg_index] : NULL;
|
|
|
|
if (!dawg && !punc_dawg) {
|
|
// shouldn't happen.
|
|
tprintf("Received DawgPosition with no dawg or punc_dawg. wth?\n");
|
|
continue;
|
|
}
|
|
if (!dawg) {
|
|
// We're in the punctuation dawg. A core dawg has not been chosen.
|
|
NODE_REF punc_node = GetStartingNode(punc_dawg, pos.punc_ref);
|
|
EDGE_REF punc_transition_edge = punc_dawg->edge_char_of(
|
|
punc_node, Dawg::kPatternUnicharID, word_end);
|
|
if (punc_transition_edge != NO_EDGE) {
|
|
// Find all successors, and see which can transition.
|
|
const SuccessorList &slist = *(successors_[pos.punc_index]);
|
|
for (int s = 0; s < slist.length(); ++s) {
|
|
int sdawg_index = slist[s];
|
|
const Dawg *sdawg = dawgs_[sdawg_index];
|
|
UNICHAR_ID ch = char_for_dawg(unichar_id, sdawg);
|
|
EDGE_REF dawg_edge = sdawg->edge_char_of(0, ch, word_end);
|
|
if (dawg_edge != NO_EDGE) {
|
|
if (dawg_debug_level >=3) {
|
|
tprintf("Letter found in dawg %d\n", sdawg_index);
|
|
}
|
|
dawg_args->updated_dawgs->add_unique(
|
|
DawgPosition(sdawg_index, dawg_edge,
|
|
pos.punc_index, punc_transition_edge, false),
|
|
dawg_debug_level > 0,
|
|
"Append transition from punc dawg to current dawgs: ");
|
|
if (sdawg->permuter() > curr_perm) curr_perm = sdawg->permuter();
|
|
if (sdawg->end_of_word(dawg_edge) &&
|
|
punc_dawg->end_of_word(punc_transition_edge))
|
|
dawg_args->valid_end = true;
|
|
}
|
|
}
|
|
}
|
|
EDGE_REF punc_edge = punc_dawg->edge_char_of(punc_node, unichar_id,
|
|
word_end);
|
|
if (punc_edge != NO_EDGE) {
|
|
if (dawg_debug_level >=3) {
|
|
tprintf("Letter found in punctuation dawg\n");
|
|
}
|
|
dawg_args->updated_dawgs->add_unique(
|
|
DawgPosition(-1, NO_EDGE, pos.punc_index, punc_edge, false),
|
|
dawg_debug_level > 0,
|
|
"Extend punctuation dawg: ");
|
|
if (PUNC_PERM > curr_perm) curr_perm = PUNC_PERM;
|
|
if (punc_dawg->end_of_word(punc_edge)) dawg_args->valid_end = true;
|
|
}
|
|
continue;
|
|
}
|
|
|
|
if (punc_dawg && dawg->end_of_word(pos.dawg_ref)) {
|
|
// We can end the main word here.
|
|
// If we can continue on the punc ref, add that possibility.
|
|
NODE_REF punc_node = GetStartingNode(punc_dawg, pos.punc_ref);
|
|
EDGE_REF punc_edge = punc_node == NO_EDGE ? NO_EDGE
|
|
: punc_dawg->edge_char_of(punc_node, unichar_id, word_end);
|
|
if (punc_edge != NO_EDGE) {
|
|
dawg_args->updated_dawgs->add_unique(
|
|
DawgPosition(pos.dawg_index, pos.dawg_ref,
|
|
pos.punc_index, punc_edge, true),
|
|
dawg_debug_level > 0,
|
|
"Return to punctuation dawg: ");
|
|
if (dawg->permuter() > curr_perm) curr_perm = dawg->permuter();
|
|
if (punc_dawg->end_of_word(punc_edge)) dawg_args->valid_end = true;
|
|
}
|
|
}
|
|
|
|
if (pos.back_to_punc) continue;
|
|
|
|
// If we are dealing with the pattern dawg, look up all the
|
|
// possible edges, not only for the exact unichar_id, but also
|
|
// for all its character classes (alpha, digit, etc).
|
|
if (dawg->type() == DAWG_TYPE_PATTERN) {
|
|
ProcessPatternEdges(dawg, pos, unichar_id, word_end, dawg_args,
|
|
&curr_perm);
|
|
// There can't be any successors to dawg that is of type
|
|
// DAWG_TYPE_PATTERN, so we are done examining this DawgPosition.
|
|
continue;
|
|
}
|
|
|
|
// Find the edge out of the node for the unichar_id.
|
|
NODE_REF node = GetStartingNode(dawg, pos.dawg_ref);
|
|
EDGE_REF edge = (node == NO_EDGE) ? NO_EDGE
|
|
: dawg->edge_char_of(node, char_for_dawg(unichar_id, dawg), word_end);
|
|
|
|
if (dawg_debug_level >= 3) {
|
|
tprintf("Active dawg: [%d, " REFFORMAT "] edge=" REFFORMAT "\n",
|
|
pos.dawg_index, node, edge);
|
|
}
|
|
|
|
if (edge != NO_EDGE) { // the unichar was found in the current dawg
|
|
if (dawg_debug_level >=3) {
|
|
tprintf("Letter found in dawg %d\n", pos.dawg_index);
|
|
}
|
|
if (word_end && punc_dawg && !punc_dawg->end_of_word(pos.punc_ref)) {
|
|
if (dawg_debug_level >= 3) {
|
|
tprintf("Punctuation constraint not satisfied at end of word.\n");
|
|
}
|
|
continue;
|
|
}
|
|
if (dawg->permuter() > curr_perm) curr_perm = dawg->permuter();
|
|
if (dawg->end_of_word(edge) &&
|
|
(punc_dawg == NULL || punc_dawg->end_of_word(pos.punc_ref)))
|
|
dawg_args->valid_end = true;
|
|
dawg_args->updated_dawgs->add_unique(
|
|
DawgPosition(pos.dawg_index, edge, pos.punc_index, pos.punc_ref,
|
|
false),
|
|
dawg_debug_level > 0,
|
|
"Append current dawg to updated active dawgs: ");
|
|
}
|
|
} // end for
|
|
// Update dawg_args->permuter if it used to be NO_PERM or became NO_PERM
|
|
// or if we found the current letter in a non-punctuation dawg. This
|
|
// allows preserving information on which dawg the "core" word came from.
|
|
// Keep the old value of dawg_args->permuter if it is COMPOUND_PERM.
|
|
if (dawg_args->permuter == NO_PERM || curr_perm == NO_PERM ||
|
|
(curr_perm != PUNC_PERM && dawg_args->permuter != COMPOUND_PERM)) {
|
|
dawg_args->permuter = curr_perm;
|
|
}
|
|
if (dawg_debug_level >= 2) {
|
|
tprintf("Returning %d for permuter code for this character.\n",
|
|
dawg_args->permuter);
|
|
}
|
|
return dawg_args->permuter;
|
|
}
|
|
|
|
void Dict::ProcessPatternEdges(const Dawg *dawg, const DawgPosition &pos,
|
|
UNICHAR_ID unichar_id, bool word_end,
|
|
DawgArgs *dawg_args,
|
|
PermuterType *curr_perm) const {
|
|
NODE_REF node = GetStartingNode(dawg, pos.dawg_ref);
|
|
// Try to find the edge corresponding to the exact unichar_id and to all the
|
|
// edges corresponding to the character class of unichar_id.
|
|
GenericVector<UNICHAR_ID> unichar_id_patterns;
|
|
unichar_id_patterns.push_back(unichar_id);
|
|
dawg->unichar_id_to_patterns(unichar_id, getUnicharset(),
|
|
&unichar_id_patterns);
|
|
for (int i = 0; i < unichar_id_patterns.size(); ++i) {
|
|
// On the first iteration check all the outgoing edges.
|
|
// On the second iteration check all self-loops.
|
|
for (int k = 0; k < 2; ++k) {
|
|
EDGE_REF edge = (k == 0)
|
|
? dawg->edge_char_of(node, unichar_id_patterns[i], word_end)
|
|
: dawg->pattern_loop_edge(pos.dawg_ref, unichar_id_patterns[i], word_end);
|
|
if (edge == NO_EDGE) continue;
|
|
if (dawg_debug_level >= 3) {
|
|
tprintf("Pattern dawg: [%d, " REFFORMAT "] edge=" REFFORMAT "\n",
|
|
pos.dawg_index, node, edge);
|
|
tprintf("Letter found in pattern dawg %d\n", pos.dawg_index);
|
|
}
|
|
if (dawg->permuter() > *curr_perm) *curr_perm = dawg->permuter();
|
|
if (dawg->end_of_word(edge)) dawg_args->valid_end = true;
|
|
dawg_args->updated_dawgs->add_unique(
|
|
DawgPosition(pos.dawg_index, edge, pos.punc_index, pos.punc_ref,
|
|
pos.back_to_punc),
|
|
dawg_debug_level > 0,
|
|
"Append current dawg to updated active dawgs: ");
|
|
}
|
|
}
|
|
}
|
|
|
|
// Fill the given active_dawgs vector with dawgs that could contain the
|
|
// beginning of the word. If hyphenated() returns true, copy the entries
|
|
// from hyphen_active_dawgs_ instead.
|
|
void Dict::init_active_dawgs(DawgPositionVector *active_dawgs,
|
|
bool ambigs_mode) const {
|
|
int i;
|
|
if (hyphenated()) {
|
|
*active_dawgs = hyphen_active_dawgs_;
|
|
if (dawg_debug_level >= 3) {
|
|
for (i = 0; i < hyphen_active_dawgs_.size(); ++i) {
|
|
tprintf("Adding hyphen beginning dawg [%d, " REFFORMAT "]\n",
|
|
hyphen_active_dawgs_[i].dawg_index,
|
|
hyphen_active_dawgs_[i].dawg_ref);
|
|
}
|
|
}
|
|
} else {
|
|
default_dawgs(active_dawgs, ambigs_mode);
|
|
}
|
|
}
|
|
|
|
void Dict::default_dawgs(DawgPositionVector *dawg_pos_vec,
|
|
bool suppress_patterns) const {
|
|
bool punc_dawg_available =
|
|
(punc_dawg_ != NULL) &&
|
|
punc_dawg_->edge_char_of(0, Dawg::kPatternUnicharID, true) != NO_EDGE;
|
|
|
|
for (int i = 0; i < dawgs_.length(); i++) {
|
|
if (dawgs_[i] != NULL &&
|
|
!(suppress_patterns && (dawgs_[i])->type() == DAWG_TYPE_PATTERN)) {
|
|
int dawg_ty = dawgs_[i]->type();
|
|
bool subsumed_by_punc = kDawgSuccessors[DAWG_TYPE_PUNCTUATION][dawg_ty];
|
|
if (dawg_ty == DAWG_TYPE_PUNCTUATION) {
|
|
*dawg_pos_vec += DawgPosition(-1, NO_EDGE, i, NO_EDGE, false);
|
|
if (dawg_debug_level >= 3) {
|
|
tprintf("Adding beginning punc dawg [%d, " REFFORMAT "]\n", i,
|
|
NO_EDGE);
|
|
}
|
|
} else if (!punc_dawg_available || !subsumed_by_punc) {
|
|
*dawg_pos_vec += DawgPosition(i, NO_EDGE, -1, NO_EDGE, false);
|
|
if (dawg_debug_level >= 3) {
|
|
tprintf("Adding beginning dawg [%d, " REFFORMAT "]\n", i, NO_EDGE);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void Dict::add_document_word(const WERD_CHOICE &best_choice) {
|
|
// Do not add hyphenated word parts to the document dawg.
|
|
// hyphen_word_ will be non-NULL after the set_hyphen_word() is
|
|
// called when the first part of the hyphenated word is
|
|
// discovered and while the second part of the word is recognized.
|
|
// hyphen_word_ is cleared in cc_recg() before the next word on
|
|
// the line is recognized.
|
|
if (hyphen_word_) return;
|
|
|
|
char filename[CHARS_PER_LINE];
|
|
FILE *doc_word_file;
|
|
int stringlen = best_choice.length();
|
|
|
|
if (valid_word(best_choice) || stringlen < 2)
|
|
return;
|
|
|
|
// Discard words that contain >= kDocDictMaxRepChars repeating unichars.
|
|
if (best_choice.length() >= kDocDictMaxRepChars) {
|
|
int num_rep_chars = 1;
|
|
UNICHAR_ID uch_id = best_choice.unichar_id(0);
|
|
for (int i = 1; i < best_choice.length(); ++i) {
|
|
if (best_choice.unichar_id(i) != uch_id) {
|
|
num_rep_chars = 1;
|
|
uch_id = best_choice.unichar_id(i);
|
|
} else {
|
|
++num_rep_chars;
|
|
if (num_rep_chars == kDocDictMaxRepChars) return;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (best_choice.certainty() < doc_dict_certainty_threshold ||
|
|
stringlen == 2) {
|
|
if (best_choice.certainty() < doc_dict_pending_threshold)
|
|
return;
|
|
|
|
if (!pending_words_->word_in_dawg(best_choice)) {
|
|
if (stringlen > 2 ||
|
|
(stringlen == 2 &&
|
|
getUnicharset().get_isupper(best_choice.unichar_id(0)) &&
|
|
getUnicharset().get_isupper(best_choice.unichar_id(1)))) {
|
|
pending_words_->add_word_to_dawg(best_choice);
|
|
}
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (save_doc_words) {
|
|
strcpy(filename, getCCUtil()->imagefile.string());
|
|
strcat(filename, ".doc");
|
|
doc_word_file = open_file (filename, "a");
|
|
fprintf(doc_word_file, "%s\n",
|
|
best_choice.debug_string().string());
|
|
fclose(doc_word_file);
|
|
}
|
|
document_words_->add_word_to_dawg(best_choice);
|
|
}
|
|
|
|
void Dict::adjust_word(WERD_CHOICE *word,
|
|
bool nonword,
|
|
XHeightConsistencyEnum xheight_consistency,
|
|
float additional_adjust,
|
|
bool modify_rating,
|
|
bool debug) {
|
|
bool is_han = (getUnicharset().han_sid() != getUnicharset().null_sid() &&
|
|
word->GetTopScriptID() == getUnicharset().han_sid());
|
|
bool case_is_ok = (is_han || case_ok(*word, getUnicharset()));
|
|
bool punc_is_ok = (is_han || !nonword || valid_punctuation(*word));
|
|
|
|
float adjust_factor = additional_adjust;
|
|
float new_rating = word->rating();
|
|
new_rating += kRatingPad;
|
|
const char *xheight_triggered = "";
|
|
if (word->length() > 1) {
|
|
// Calculate x-height and y-offset consistency penalties.
|
|
switch (xheight_consistency) {
|
|
case XH_INCONSISTENT:
|
|
adjust_factor += xheight_penalty_inconsistent;
|
|
xheight_triggered = ", xhtBAD";
|
|
break;
|
|
case XH_SUBNORMAL:
|
|
adjust_factor += xheight_penalty_subscripts;
|
|
xheight_triggered = ", xhtSUB";
|
|
break;
|
|
case XH_GOOD:
|
|
// leave the factor alone - all good!
|
|
break;
|
|
}
|
|
// TODO(eger): if nonword is true, but there is a "core" thats' a dict
|
|
// word, negate nonword status.
|
|
} else {
|
|
if (debug) {
|
|
tprintf("Consistency could not be calculated.\n");
|
|
}
|
|
}
|
|
if (debug) {
|
|
tprintf("%sWord: %s %4.2f%s", nonword ? "Non-" : "",
|
|
word->unichar_string().string(), word->rating(),
|
|
xheight_triggered);
|
|
}
|
|
|
|
if (nonword) { // non-dictionary word
|
|
if (case_is_ok && punc_is_ok) {
|
|
adjust_factor += segment_penalty_dict_nonword;
|
|
new_rating *= adjust_factor;
|
|
if (debug) tprintf(", W");
|
|
} else {
|
|
adjust_factor += segment_penalty_garbage;
|
|
new_rating *= adjust_factor;
|
|
if (debug) {
|
|
if (!case_is_ok) tprintf(", C");
|
|
if (!punc_is_ok) tprintf(", P");
|
|
}
|
|
}
|
|
} else { // dictionary word
|
|
if (case_is_ok) {
|
|
if (!is_han && freq_dawg_ != NULL && freq_dawg_->word_in_dawg(*word)) {
|
|
word->set_permuter(FREQ_DAWG_PERM);
|
|
adjust_factor += segment_penalty_dict_frequent_word;
|
|
new_rating *= adjust_factor;
|
|
if (debug) tprintf(", F");
|
|
} else {
|
|
adjust_factor += segment_penalty_dict_case_ok;
|
|
new_rating *= adjust_factor;
|
|
if (debug) tprintf(", ");
|
|
}
|
|
} else {
|
|
adjust_factor += segment_penalty_dict_case_bad;
|
|
new_rating *= adjust_factor;
|
|
if (debug) tprintf(", C");
|
|
}
|
|
}
|
|
new_rating -= kRatingPad;
|
|
if (modify_rating) word->set_rating(new_rating);
|
|
if (debug) tprintf(" %4.2f --> %4.2f\n", adjust_factor, new_rating);
|
|
word->set_adjust_factor(adjust_factor);
|
|
}
|
|
|
|
int Dict::valid_word(const WERD_CHOICE &word, bool numbers_ok) const {
|
|
const WERD_CHOICE *word_ptr = &word;
|
|
WERD_CHOICE temp_word(word.unicharset());
|
|
if (hyphenated() && hyphen_word_->unicharset() == word.unicharset()) {
|
|
copy_hyphen_info(&temp_word);
|
|
temp_word += word;
|
|
word_ptr = &temp_word;
|
|
}
|
|
if (word_ptr->length() == 0) return NO_PERM;
|
|
// Allocate vectors for holding current and updated
|
|
// active_dawgs and initialize them.
|
|
DawgPositionVector *active_dawgs = new DawgPositionVector[2];
|
|
init_active_dawgs(&(active_dawgs[0]), false);
|
|
DawgArgs dawg_args(&(active_dawgs[0]), &(active_dawgs[1]), NO_PERM);
|
|
int last_index = word_ptr->length() - 1;
|
|
// Call leter_is_okay for each letter in the word.
|
|
for (int i = hyphen_base_size(); i <= last_index; ++i) {
|
|
if (!((this->*letter_is_okay_)(&dawg_args, word_ptr->unichar_id(i),
|
|
i == last_index))) break;
|
|
// Swap active_dawgs, constraints with the corresponding updated vector.
|
|
if (dawg_args.updated_dawgs == &(active_dawgs[1])) {
|
|
dawg_args.updated_dawgs = &(active_dawgs[0]);
|
|
++(dawg_args.active_dawgs);
|
|
} else {
|
|
++(dawg_args.updated_dawgs);
|
|
dawg_args.active_dawgs = &(active_dawgs[0]);
|
|
}
|
|
}
|
|
delete[] active_dawgs;
|
|
return valid_word_permuter(dawg_args.permuter, numbers_ok) ?
|
|
dawg_args.permuter : NO_PERM;
|
|
}
|
|
|
|
bool Dict::valid_bigram(const WERD_CHOICE &word1,
|
|
const WERD_CHOICE &word2) const {
|
|
if (bigram_dawg_ == NULL) return false;
|
|
|
|
// Extract the core word from the middle of each word with any digits
|
|
// replaced with question marks.
|
|
int w1start, w1end, w2start, w2end;
|
|
word1.punct_stripped(&w1start, &w1end);
|
|
word2.punct_stripped(&w2start, &w2end);
|
|
|
|
// We don't want to penalize a single guillemet, hyphen, etc.
|
|
// But our bigram list doesn't have any information about punctuation.
|
|
if (w1start >= w1end) return word1.length() < 3;
|
|
if (w2start >= w2end) return word2.length() < 3;
|
|
|
|
const UNICHARSET& uchset = getUnicharset();
|
|
GenericVector<UNICHAR_ID> bigram_string;
|
|
bigram_string.reserve(w1end + w2end + 1);
|
|
for (int i = w1start; i < w1end; i++) {
|
|
const GenericVector<UNICHAR_ID>& normed_ids =
|
|
getUnicharset().normed_ids(word1.unichar_id(i));
|
|
if (normed_ids.size() == 1 && uchset.get_isdigit(normed_ids[0]))
|
|
bigram_string.push_back(question_unichar_id_);
|
|
else
|
|
bigram_string += normed_ids;
|
|
}
|
|
bigram_string.push_back(UNICHAR_SPACE);
|
|
for (int i = w2start; i < w2end; i++) {
|
|
const GenericVector<UNICHAR_ID>& normed_ids =
|
|
getUnicharset().normed_ids(word2.unichar_id(i));
|
|
if (normed_ids.size() == 1 && uchset.get_isdigit(normed_ids[0]))
|
|
bigram_string.push_back(question_unichar_id_);
|
|
else
|
|
bigram_string += normed_ids;
|
|
}
|
|
WERD_CHOICE normalized_word(&uchset, bigram_string.size());
|
|
for (int i = 0; i < bigram_string.size(); ++i) {
|
|
normalized_word.append_unichar_id_space_allocated(bigram_string[i], 1,
|
|
0.0f, 0.0f);
|
|
}
|
|
return bigram_dawg_->word_in_dawg(normalized_word);
|
|
}
|
|
|
|
bool Dict::valid_punctuation(const WERD_CHOICE &word) {
|
|
if (word.length() == 0) return NO_PERM;
|
|
int i;
|
|
WERD_CHOICE new_word(word.unicharset());
|
|
int last_index = word.length() - 1;
|
|
int new_len = 0;
|
|
for (i = 0; i <= last_index; ++i) {
|
|
UNICHAR_ID unichar_id = (word.unichar_id(i));
|
|
if (getUnicharset().get_ispunctuation(unichar_id)) {
|
|
new_word.append_unichar_id(unichar_id, 1, 0.0, 0.0);
|
|
} else if (!getUnicharset().get_isalpha(unichar_id) &&
|
|
!getUnicharset().get_isdigit(unichar_id)) {
|
|
return false; // neither punc, nor alpha, nor digit
|
|
} else if ((new_len = new_word.length()) == 0 ||
|
|
new_word.unichar_id(new_len-1) != Dawg::kPatternUnicharID) {
|
|
new_word.append_unichar_id(Dawg::kPatternUnicharID, 1, 0.0, 0.0);
|
|
}
|
|
}
|
|
for (i = 0; i < dawgs_.size(); ++i) {
|
|
if (dawgs_[i] != NULL &&
|
|
dawgs_[i]->type() == DAWG_TYPE_PUNCTUATION &&
|
|
dawgs_[i]->word_in_dawg(new_word)) return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/// Returns true if the language is space-delimited (not CJ, or T).
|
|
bool Dict::IsSpaceDelimitedLang() const {
|
|
const UNICHARSET &u_set = getUnicharset();
|
|
if (u_set.han_sid() > 0) return false;
|
|
if (u_set.katakana_sid() > 0) return false;
|
|
if (u_set.thai_sid() > 0) return false;
|
|
return true;
|
|
}
|
|
|
|
} // namespace tesseract
|