acceptable_choice_found_ | tesseract::LanguageModel | protected |
AcceptableChoiceFound() | tesseract::LanguageModel | inline |
AcceptablePath(const ViterbiStateEntry &vse) | tesseract::LanguageModel | inlineprotected |
AddViterbiStateEntry(LanguageModelFlagsType top_choice_flags, float denom, bool word_end, int curr_col, int curr_row, BLOB_CHOICE *b, LanguageModelState *curr_state, ViterbiStateEntry *parent_vse, LMPainPoints *pain_points, WERD_RES *word_res, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle) | tesseract::LanguageModel | protected |
beginning_active_dawgs_ | tesseract::LanguageModel | protected |
CertaintyScore(float cert) | tesseract::LanguageModel | inlineprotected |
ComputeAdjustedPathCost(ViterbiStateEntry *vse) | tesseract::LanguageModel | protected |
ComputeAdjustment(int num_problems, float penalty) | tesseract::LanguageModel | inlineprotected |
ComputeAssociateStats(int col, int row, float max_char_wh_ratio, ViterbiStateEntry *parent_vse, WERD_RES *word_res, AssociateStats *associate_stats) | tesseract::LanguageModel | inlineprotected |
ComputeConsistencyAdjustment(const LanguageModelDawgInfo *dawg_info, const LMConsistencyInfo &consistency_info) | tesseract::LanguageModel | inlineprotected |
ComputeDenom(BLOB_CHOICE_LIST *curr_list) | tesseract::LanguageModel | protected |
ComputeNgramCost(const char *unichar, float certainty, float denom, const char *context, int *unichar_step_len, bool *found_small_prob, float *ngram_prob) | tesseract::LanguageModel | protected |
ConstructWord(ViterbiStateEntry *vse, WERD_RES *word_res, DANGERR *fixpt, BlamerBundle *blamer_bundle, bool *truth_path) | tesseract::LanguageModel | protected |
correct_segmentation_explored_ | tesseract::LanguageModel | protected |
dawg_args_ | tesseract::LanguageModel | protected |
dict_ | tesseract::LanguageModel | protected |
ExtractFeaturesFromPath(const ViterbiStateEntry &vse, float features[]) | tesseract::LanguageModel | static |
FillConsistencyInfo(int curr_col, bool word_end, BLOB_CHOICE *b, ViterbiStateEntry *parent_vse, WERD_RES *word_res, LMConsistencyInfo *consistency_info) | tesseract::LanguageModel | protected |
fixed_pitch_ | tesseract::LanguageModel | protected |
fontinfo_table_ | tesseract::LanguageModel | protected |
GenerateDawgInfo(bool word_end, int curr_col, int curr_row, const BLOB_CHOICE &b, const ViterbiStateEntry *parent_vse) | tesseract::LanguageModel | protected |
GenerateNgramInfo(const char *unichar, float certainty, float denom, int curr_col, int curr_row, float outline_length, const ViterbiStateEntry *parent_vse) | tesseract::LanguageModel | protected |
GenerateTopChoiceInfo(ViterbiStateEntry *new_vse, const ViterbiStateEntry *parent_vse, LanguageModelState *lms) | tesseract::LanguageModel | protected |
GetNextParentVSE(bool just_classified, bool mixed_alnum, const BLOB_CHOICE *bc, LanguageModelFlagsType blob_choice_flags, const UNICHARSET &unicharset, WERD_RES *word_res, ViterbiStateEntry_IT *vse_it, LanguageModelFlagsType *top_choice_flags) const | tesseract::LanguageModel | protected |
getParamsModel() | tesseract::LanguageModel | inline |
GetTopLowerUpperDigit(BLOB_CHOICE_LIST *curr_list, BLOB_CHOICE **first_lower, BLOB_CHOICE **first_upper, BLOB_CHOICE **first_digit) const | tesseract::LanguageModel | protected |
InitForWord(const WERD_CHOICE *prev_word, bool fixed_pitch, float max_char_wh_ratio, float rating_cert_scale) | tesseract::LanguageModel | |
kDigitFlag | tesseract::LanguageModel | static |
kLowerCaseFlag | tesseract::LanguageModel | static |
kMaxAvgNgramCost | tesseract::LanguageModel | static |
kSmallestRatingFlag | tesseract::LanguageModel | static |
kUpperCaseFlag | tesseract::LanguageModel | static |
kXhtConsistentFlag | tesseract::LanguageModel | static |
language_model_debug_level | tesseract::LanguageModel | |
language_model_min_compound_length | tesseract::LanguageModel | |
language_model_ngram_nonmatch_score | tesseract::LanguageModel | |
language_model_ngram_on | tesseract::LanguageModel | |
language_model_ngram_order | tesseract::LanguageModel | |
language_model_ngram_rating_factor | tesseract::LanguageModel | |
language_model_ngram_scale_factor | tesseract::LanguageModel | |
language_model_ngram_small_prob | tesseract::LanguageModel | |
language_model_ngram_space_delimited_language | tesseract::LanguageModel | |
language_model_ngram_use_only_first_uft8_step | tesseract::LanguageModel | |
language_model_penalty_case | tesseract::LanguageModel | |
language_model_penalty_chartype | tesseract::LanguageModel | |
language_model_penalty_font | tesseract::LanguageModel | |
language_model_penalty_increment | tesseract::LanguageModel | |
language_model_penalty_non_dict_word | tesseract::LanguageModel | |
language_model_penalty_non_freq_dict_word | tesseract::LanguageModel | |
language_model_penalty_punc | tesseract::LanguageModel | |
language_model_penalty_script | tesseract::LanguageModel | |
language_model_penalty_spacing | tesseract::LanguageModel | |
language_model_use_sigmoidal_certainty | tesseract::LanguageModel | |
language_model_viterbi_list_max_num_prunable | tesseract::LanguageModel | |
language_model_viterbi_list_max_size | tesseract::LanguageModel | |
LanguageModel(const UnicityTable< FontInfo > *fontinfo_table, Dict *dict) | tesseract::LanguageModel | |
max_char_wh_ratio_ | tesseract::LanguageModel | protected |
params_model_ | tesseract::LanguageModel | protected |
prev_word_str_ | tesseract::LanguageModel | protected |
prev_word_unichar_step_len_ | tesseract::LanguageModel | protected |
PrunablePath(const ViterbiStateEntry &vse) | tesseract::LanguageModel | inlineprotected |
rating_cert_scale_ | tesseract::LanguageModel | protected |
SetAcceptableChoiceFound(bool val) | tesseract::LanguageModel | inline |
SetTopParentLowerUpperDigit(LanguageModelState *parent_node) const | tesseract::LanguageModel | protected |
UpdateBestChoice(ViterbiStateEntry *vse, LMPainPoints *pain_points, WERD_RES *word_res, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle) | tesseract::LanguageModel | protected |
UpdateState(bool just_classified, int curr_col, int curr_row, BLOB_CHOICE_LIST *curr_list, LanguageModelState *parent_node, LMPainPoints *pain_points, WERD_RES *word_res, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle) | tesseract::LanguageModel | |
very_beginning_active_dawgs_ | tesseract::LanguageModel | protected |
wordrec_display_segmentations | tesseract::LanguageModel | |
~LanguageModel() | tesseract::LanguageModel | |