/////////////////////////////////////////////////////////////////////// // 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 #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(Image* image_ptr) : letter_is_okay_(&tesseract::Dict::def_letter_is_okay), probability_in_context_(&tesseract::Dict::def_probability_in_context), params_model_classify_(NULL), image_ptr_(image_ptr), STRING_INIT_MEMBER(user_words_suffix, "", "A list of user-provided words.", getImage()->getCCUtil()->params()), STRING_INIT_MEMBER(user_patterns_suffix, "", "A list of user-provided patterns.", getImage()->getCCUtil()->params()), BOOL_INIT_MEMBER(load_system_dawg, true, "Load system word dawg.", getImage()->getCCUtil()->params()), BOOL_INIT_MEMBER(load_freq_dawg, true, "Load frequent word dawg.", getImage()->getCCUtil()->params()), BOOL_INIT_MEMBER(load_unambig_dawg, true, "Load unambiguous word dawg.", getImage()->getCCUtil()->params()), BOOL_INIT_MEMBER(load_punc_dawg, true, "Load dawg with punctuation" " patterns.", getImage()->getCCUtil()->params()), BOOL_INIT_MEMBER(load_number_dawg, true, "Load dawg with number" " patterns.", getImage()->getCCUtil()->params()), BOOL_INIT_MEMBER(load_bigram_dawg, true, "Load dawg with special word " "bigrams.", getImage()->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.", getImage()->getCCUtil()->params()), double_MEMBER(xheight_penalty_inconsistent, 0.25, "Score penalty (0.1 = 10%) added if an xheight is " "inconsistent.", getImage()->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).", getImage()->getCCUtil()->params()), double_MEMBER(segment_penalty_dict_case_ok, 1.1, "Score multiplier for word matches that have good case " "(lower is better).", getImage()->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).", getImage()->getCCUtil()->params()), double_MEMBER(segment_penalty_ngram_best_choice, 1.24, "Multipler to for the best choice from the ngram model.", getImage()->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).", getImage()->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).", getImage()->getCCUtil()->params()), STRING_MEMBER(output_ambig_words_file, "", "Output file for ambiguities found in the dictionary", getImage()->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", getImage()->getCCUtil()->params()), INT_MEMBER(hyphen_debug_level, 0, "Debug level for hyphenated words.", getImage()->getCCUtil()->params()), INT_MEMBER(max_viterbi_list_size, 10, "Maximum size of viterbi list.", getImage()->getCCUtil()->params()), BOOL_MEMBER(use_only_first_uft8_step, false, "Use only the first UTF8 step of the given string" " when computing log probabilities.", getImage()->getCCUtil()->params()), double_MEMBER(certainty_scale, 20.0, "Certainty scaling factor", getImage()->getCCUtil()->params()), double_MEMBER(stopper_nondict_certainty_base, -2.50, "Certainty threshold for non-dict words", getImage()->getCCUtil()->params()), double_MEMBER(stopper_phase2_certainty_rejection_offset, 1.0, "Reject certainty offset", getImage()->getCCUtil()->params()), INT_MEMBER(stopper_smallword_size, 2, "Size of dict word to be treated as non-dict word", getImage()->getCCUtil()->params()), double_MEMBER(stopper_certainty_per_char, -0.50, "Certainty to add" " for each dict char above small word size.", getImage()->getCCUtil()->params()), double_MEMBER(stopper_allowable_character_badness, 3.0, "Max certaintly variation allowed in a word (in sigma)", getImage()->getCCUtil()->params()), INT_MEMBER(stopper_debug_level, 0, "Stopper debug level", getImage()->getCCUtil()->params()), BOOL_MEMBER(stopper_no_acceptable_choices, false, "Make AcceptableChoice() always return false. Useful" " when there is a need to explore all segmentations", getImage()->getCCUtil()->params()), INT_MEMBER(tessedit_truncate_wordchoice_log, 10, "Max words to keep in list", getImage()->getCCUtil()->params()), STRING_MEMBER(word_to_debug, "", "Word for which stopper debug" " information should be printed to stdout", getImage()->getCCUtil()->params()), STRING_MEMBER(word_to_debug_lengths, "", "Lengths of unichars in word_to_debug", getImage()->getCCUtil()->params()), INT_MEMBER(fragments_debug, 0, "Debug character fragments", getImage()->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", getImage()->getCCUtil()->params()), BOOL_MEMBER(save_doc_words, 0, "Save Document Words", getImage()->getCCUtil()->params()), double_MEMBER(doc_dict_pending_threshold, 0.0, "Worst certainty for using pending dictionary", getImage()->getCCUtil()->params()), double_MEMBER(doc_dict_certainty_threshold, -2.25, "Worst certainty for words that can be inserted into the" "document dictionary", getImage()->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.", getImage()->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() { if (hyphen_word_ != NULL) delete hyphen_word_; if (output_ambig_words_file_ != NULL) fclose(output_ambig_words_file_); } DawgCache *Dict::GlobalDawgCache() { // We dynamically allocate this global cache (a singleton) so it will outlive // every Tesseract instance (even those that someone else might declare as // global statics). static DawgCache *cache = new DawgCache(); // evil global singleton return cache; } void Dict::Load(DawgCache *dawg_cache) { STRING name; STRING &lang = getImage()->getCCUtil()->lang; 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; } TessdataManager &tessdata_manager = getImage()->getCCUtil()->tessdata_manager; const char *data_file_name = tessdata_manager.GetDataFileName().string(); // Load dawgs_. if (load_punc_dawg) { punc_dawg_ = dawg_cache_->GetSquishedDawg( lang, data_file_name, TESSDATA_PUNC_DAWG, dawg_debug_level); if (punc_dawg_) dawgs_ += punc_dawg_; } if (load_system_dawg) { Dawg *system_dawg = dawg_cache_->GetSquishedDawg( lang, data_file_name, TESSDATA_SYSTEM_DAWG, dawg_debug_level); if (system_dawg) dawgs_ += system_dawg; } if (load_number_dawg) { Dawg *number_dawg = dawg_cache_->GetSquishedDawg( lang, data_file_name, TESSDATA_NUMBER_DAWG, dawg_debug_level); if (number_dawg) dawgs_ += number_dawg; } if (load_bigram_dawg) { bigram_dawg_ = dawg_cache_->GetSquishedDawg( lang, data_file_name, TESSDATA_BIGRAM_DAWG, dawg_debug_level); } if (load_freq_dawg) { freq_dawg_ = dawg_cache_->GetSquishedDawg( lang, data_file_name, TESSDATA_FREQ_DAWG, dawg_debug_level); if (freq_dawg_) { dawgs_ += freq_dawg_; } } if (load_unambig_dawg) { unambig_dawg_ = dawg_cache_->GetSquishedDawg( lang, data_file_name, TESSDATA_UNAMBIG_DAWG, dawg_debug_level); if (unambig_dawg_) dawgs_ += unambig_dawg_; } if (((STRING &)user_words_suffix).length() > 0) { Trie *trie_ptr = new Trie(DAWG_TYPE_WORD, lang, USER_DAWG_PERM, kMaxUserDawgEdges, getUnicharset().size(), dawg_debug_level); name = getImage()->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) { Trie *trie_ptr = new Trie(DAWG_TYPE_PATTERN, lang, USER_PATTERN_PERM, kMaxUserDawgEdges, getUnicharset().size(), dawg_debug_level); trie_ptr->initialize_patterns(&(getUnicharset())); name = getImage()->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, kMaxDocDawgEdges, 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, kMaxDocDawgEdges, getUnicharset().size(), dawg_debug_level); // 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; } } 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; if (pending_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 = reinterpret_cast(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(); // 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(); } } } 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; } 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 (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->updated_dawgs, &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(); 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"); } return dawg_args->permuter; } void Dict::ProcessPatternEdges(const Dawg *dawg, const DawgPosition &pos, UNICHAR_ID unichar_id, bool word_end, DawgPositionVector *updated_dawgs, 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_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(); 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, getImage()->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()) { 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 bigram_string; bigram_string.reserve(w1end + w2end + 1); for (int i = w1start; i < w1end; i++) { const GenericVector& 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& 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; } } // namespace tesseract