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📄 train_lattice.h

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// file: train_lattice.h//// this is the header for the lattice class//// make sure definitions are only made once//#ifndef __ISIP_TRAIN_LATTICE#define __ISIP_TRAIN_LATTICE// isip include files//#ifndef __ISIP_INTEGRAL#include <integral.h>#endif// forward declaration of classes//#ifndef __ISIP_TRAIN_LINK_LIST#include <train_link_list.h>#endif#ifndef __ISIP_TRAIN_LATTICE_NODE#include <train_lattice_node.h>#endif#ifndef __ISIP_TRAIN_HASH_TABLE#include <train_hash_table.h>#endif// Train_Lattice: a class that is used to store the N-best word hypothesis// in the form of a word graph//class Train_Lattice {    //---------------------------------------------------------------------------  //  // protected data  //  //---------------------------------------------------------------------------protected:    // node statistics  //  int_4 num_arcs_d;                  // number of arcs in the lattice  int_4 num_nodes_d;                 // number of nodes in the lattice  // node pointers  //  Train_Hash_table* lnode_d;               // hash table of lattice nodes  Train_Lattice_node* start_node_d;        // start node of the lattice    // lattice generation information  //  char_1* lang_model_d;              // language model used for construction  char_1* utterance_d;               // utterance represented by the lattice  char_1* model_set_d;               // model set used for scoring acoustics    // likelihood scale factors   //  float_4 lm_scale_d;                // language model scale factor  float_4 word_penalty_d;            // word insertion penalty      //---------------------------------------------------------------------------  //  // public methods  //  //---------------------------------------------------------------------------public:    // required methods  //  char_1* name_cc();  volatile void error_handler_cc(char_1* mname, char_1* msg);  logical_1 debug_cc(FILE* fp, char_1* message);  int_4 size_cc();      // destructors/constructors  //  ~Train_Lattice();  Train_Lattice();   Train_Lattice(int_4 num_nodes, int_4 num_arcs, Train_Hash_table* lnodes);  Train_Lattice(Train_Lattice& lattice);    // methods to set generic information  //  logical_1 set_num_arcs_cc(int_4 num_arcs);             // number of arcs  logical_1 set_num_nodes_cc(int_4 num_nodes);           // number of nodes  logical_1 set_lang_model_cc(char_1* lang_model_name);  // language model  logical_1 set_utterance_cc(char_1* utterance_name);    // utterance   logical_1 set_model_set_cc(char_1* model_set);         // model set  logical_1 set_word_penalty_cc(float_4 word_penalty);   // word penalty  logical_1 set_lm_scale_cc(float_4 lm_scale);           // lm scale factor    // methods to get generic information  //  int_4 get_num_arcs_cc();                               // number of arcs  int_4 get_num_nodes_cc();                              // number of nodes  logical_1 get_lang_model_cc(char_1*& lang_model);      // language model  logical_1 get_utterance_cc(char_1*& utterance);        // utterance   logical_1 get_model_set_cc(char_1*& model_set);        // model set  float_4 get_word_penalty_cc();                         // word penalty  float_4 get_lm_scale_cc();                             // lm scale factor  // methods to set/get start lattice node information  //  logical_1 set_start_node_cc(Train_Lattice_node* lat_node);  Train_Lattice_node* get_start_node_cc();  // methods to set/get lattice node hash table information  //  logical_1 set_lnodes_cc(Train_Hash_table* lnodes);  Train_Hash_table* get_lnodes_cc();    // method to set/get individual lattice nodes  //  logical_1 set_lat_node_cc(Train_Lattice_node* lnode);  logical_1 get_lat_node_cc(Train_Lattice_node* lnode,			    Train_Hash_cell*& lcell);    // read methods for lattice  //  logical_1 read_lattice_cc(FILE* fp_lattice, Train_Hash_table* words);  logical_1 read_trans_cc(FILE* fp_trans, Train_Hash_table* words);  // write methods for the lattice  //  logical_1 write_lattice_cc(FILE* fp_lattice);  // method to reduce the original lattice to a more efficient format  //  logical_1 reduce_lattice_cc(Train_Lattice*& new_lattice);    // dynamic programming based lattice error computation for the utterance  //  logical_1 error_rate_cc(char_1* utterance, int_4 num_subs, int_4 num_dels,			  int_4 num_ins);  // re-assign the node indices  //  logical_1 index_nodes_cc();    //---------------------------------------------------------------------------  //  // private methods  //  //---------------------------------------------------------------------------private:  // lattice building methods  //  logical_1 init_nodes_cc(Train_Lattice_node** lnodes);  // arrange the lattice nodes in a hash table in order  //  logical_1 lat_arrange_cc(Train_Lattice_node**& lnodes);  // update the node index  //  logical_1 update_index_cc(Train_Lattice_node* latnode, int_4* map,			    int_4& idx);  };// end of file// #endif

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