void ReadVocab() {
long long a, i = 0;
char c;
char word[MAX_STRING];
FILE *fin = fopen(read_vocab_file, "rb");
if (fin == NULL) {
printf("Vocabulary file not found\n");
exit(1);
}
for (a = 0; a < vocab_hash_size; a++) vocab_hash[a] = -1;
vocab_size = 0;
while (1) {
ReadWord(word, fin);
if (feof(fin)) break;
a = AddWordToVocab(word);
fscanf(fin, "%lld%c", &vocab[a].cn, &c);
i++;
}
SortVocab();
if (debug_mode > 0) {
printf("Vocab size: %lld\n", vocab_size);
printf("Words in train file: %lld\n", train_words);
}
fin = fopen(train_file, "rb");
if (fin == NULL) {
printf("ERROR: training data file not found!\n");
exit(1);
}
fseek(fin, 0, SEEK_END);
file_size = ftell(fin);
fclose(fin);
}
// Sorts the vocabulary by frequency using word counts
void SortVocab() {
int a, size;
unsigned int hash;
// Sort the vocabulary and keep </s> at the first position
qsort(&vocab[1], vocab_size - 1, sizeof(struct vocab_word), VocabCompare);
for (a = 0; a < vocab_hash_size; a++) vocab_hash[a] = -1;
size = vocab_size;
train_words = 0;
for (a = 0; a < size; a++) {
// Words occuring less than min_count times will be discarded from the vocab
if (vocab[a].cn < min_count && !(StartsWith((char *)"_*", vocab[a].word) && sentence_vectors)) {
vocab_size--;
free(vocab[vocab_size].word);
} else {
// Hash will be re-computed, as after the sorting it is not actual
hash=GetWordHash(vocab[a].word);
while (vocab_hash[hash] != -1) hash = (hash + 1) % vocab_hash_size;
vocab_hash[hash] = a;
train_words += vocab[a].cn;
}
}
a = AddWordToVocab((char *)"<UNKNOWN>");
vocab[a].cn = 1;
//vocab = (struct vocab_word *)realloc(vocab, (vocab_size + 1) * sizeof(struct vocab_word));
// Allocate memory for the binary tree construction
for (a = 0; a < vocab_size; a++) {
vocab[a].code = (char *)calloc(MAX_CODE_LENGTH, sizeof(char));
vocab[a].point = (int *)calloc(MAX_CODE_LENGTH, sizeof(int));
}
}
void LearnVocabFromTrainFile() {
char word[MAX_STRING], last_word[MAX_STRING], bigram_word[MAX_STRING * 2];
FILE *fin;
long long a, i, start = 1;
for (a = 0; a < vocab_hash_size; a++) vocab_hash[a] = -1;
fin = fopen(train_file, "rb");
if (fin == NULL) {
printf("ERROR: training data file not found!\n");
exit(1);
}
vocab_size = 0;
AddWordToVocab((char *)"</s>");
while (1) {
ReadWord(word, fin);
if (feof(fin)) break;
if (!strcmp(word, "</s>")) {
start = 1;
continue;
} else start = 0;
train_words++;
if ((debug_mode > 1) && (train_words % 100000 == 0)) {
printf("Words processed: %lldK Vocab size: %lldK %c", train_words / 1000, vocab_size / 1000, 13);
fflush(stdout);
}
i = SearchVocab(word);
if (i == -1) {
a = AddWordToVocab(word);
vocab[a].cn = 1;
} else vocab[i].cn++;
if (start) continue;
sprintf(bigram_word, "%s_%s", last_word, word);
bigram_word[MAX_STRING - 1] = 0;
strcpy(last_word, word);
i = SearchVocab(bigram_word);
if (i == -1) {
a = AddWordToVocab(bigram_word);
vocab[a].cn = 1;
} else vocab[i].cn++;
if (vocab_size > vocab_hash_size * 0.7) ReduceVocab();
}
SortVocab();
if (debug_mode > 0) {
printf("\nVocab size (unigrams + bigrams): %lld\n", vocab_size);
printf("Words in train file: %lld\n", train_words);
}
fclose(fin);
}
//从分词文件中统计每个单词的词频
void LearnVocabFromTrainFile()
{
char word[MAX_STRING];
FILE *fin;
long long a, i;
for (a = 0; a < vocab_hash_size; a++) vocab_hash[a] = -1;
fin = fopen(train_file, "rb");
if (fin == NULL)
{
printf("ERROR: training data file not found!\n");
exit(1);
}
vocab_size = 0;
AddWordToVocab((char *)"</s>");
while (1)
{
ReadWord(word, fin);
if (feof(fin)) break;
train_words++;
if ((debug_mode > 1) && (train_words % 100000 == 0))
{
printf("%lldK%c", train_words / 1000, 13);
fflush(stdout);
}
i = SearchVocab(word);//返回该词在词汇表中的位置
if (i == -1)//该词之前不存在
{
a = AddWordToVocab(word);//把该词添加到词汇表中
vocab[a].cn = 1;
}
else vocab[i].cn++;//更新词频
if (vocab_size > vocab_hash_size * 0.7)//如果词汇表太庞大，就缩减
ReduceVocab();
}
SortVocab();//根据词频排序词汇表
if (debug_mode > 0)
{
printf("Vocab size: %lld\n", vocab_size);
printf("Words in train file: %lld\n", train_words);
}
file_size = ftell(fin);
fclose(fin);
}
void LearnVocabFromTrainFile() {
char word[MAX_STRING];
FILE *fin;
long long a, i;
for (a = 0; a < vocab_hash_size; a++) vocab_hash[a] = -1;
fin = fopen(train_file, "rb");
if (fin == NULL) {
printf("ERROR: training data file not found!\n");
exit(1);
}
vocab_size = 0;
AddWordToVocab((char *)"</s>");
while (1) {
ReadWord(word, fin);
if(strlen(word)>1)if(word[0]=='_'&&word[1]=='*')continue;
if (feof(fin)) break;
train_words++;
if ((debug_mode > 1) && (train_words % 100000 == 0)) {
printf("%lldK%c", train_words / 1000, 13);
fflush(stdout);
}
i = SearchVocab(word);
if (i == -1) {
a = AddWordToVocab(word);
vocab[a].cn = 1;
} else vocab[i].cn++;
if (vocab_size > vocab_hash_size * 0.7) ReduceVocab();
}
SortVocab();
if (debug_mode > 0) {
printf("Vocab size: %lld\n", vocab_size);
printf("Words in train file: %lld\n", train_words);
}
long long freq_count=0;
//for(a=0;a<vocab_size;a++){
// if(vocab[a].cn > 50000){freq_count+=vocab[a].cn;printf("%s\n",vocab[a].word);}
//}
//printf("freq_count: %lld\n", freq_count);
file_size = ftell(fin);
fclose(fin);
}
void LearnVocabFromTrainFile() {
char word[MAX_STRING];
FILE *fin;
long long a, i;
for (a = 0; a < vocab_hash_size; a++) vocab_hash[a] = -1;
fin = fopen(train_file, "rb");
if (fin == NULL) {
printf("ERROR: training data file not found!\n");
exit(1);
}
vocab_size = 0;
AddWordToVocab((char *)"</s>");
while (1) {
ReadWord(word, fin);
if (feof(fin)) break;
train_words++;
if ((debug_mode > 1) && (train_words % 100000 == 0)) {
printf("%lldK%c", train_words / 1000, 13); //13 for k;
fflush(stdout);
}
//if word is not in, add it; or increase the times;
i = SearchVocab(word);
if (i == -1) {
a = AddWordToVocab(word);
vocab[a].cn = 1;
} else vocab[i].cn++;
if (vocab_size > vocab_hash_size * 0.7) ReduceVocab();
}
SortVocab();
if (debug_mode > 0) {
printf("Vocab size: %lld\n", vocab_size);
printf("Words in train file: %lld\n", train_words);
}
file_size = ftell(fin);
fclose(fin);
}
void ReadVocab() {
long long a, i = 0;
char c;
char word[MAX_STRING];
FILE *fin = fopen(model_file, "rb");
if (fin == NULL) {
fprintf(stderr, "Vocabulary file not found\n");
exit(1);
}
for (a = 0; a < vocab_hash_size; a++) vocab_hash[a] = -1;
vocab_size = 0;
while (1) {
ReadWord(word, fin);
if (feof(fin)) break;
a = AddWordToVocab(word);
fscanf(fin, "%lld%c", &vocab[a].cn, &c);
i++;
}
SortVocab();
if(recompute_train_counts) { // If training file changed, e.g. in fine-tuning
FILE *fi = fopen(train_file, "rb");
if (fi == NULL) {
fprintf(stderr, "ERROR: training data file not found!\n");
exit(1);
}
train_words = 0;
while (1) {
ReadWordIndex(fi);
++train_words;
if (feof(fi)) break;
}
fclose(fi);
}
if (debug_mode > 0) {
fprintf(stderr, "Vocab size: %lld\n", vocab_size);
fprintf(stderr, "Words in train file: %lld\n", train_words);
}
if(test_file[0] != 0 || gen != 0) return;
fin = fopen(train_file, "rb");
if (fin == NULL) {
fprintf(stderr, "ERROR: training data file not found!\n");
exit(1);
}
fseek(fin, 0, SEEK_END);
file_size = ftell(fin);
fclose(fin);
}
// 装载训练文件到词汇表数据结构
void LearnVocabFromTrainFile() {
char word[MAX_STRING];
FILE * fin;
long long a, i;
for (a = 0; a < vocab_hash_size; a++) vocab_hash[a] = -1;
fin = fopen(train_file, "rb");
if (fin == NULL) {
printf("ERROR: training data file not found!\n");
exit(1);
}
vocab_size = 0;
// 首先添加的是回车
AddWordToVocab((char *)"</s>");
while (1) {
ReadWord(word, fin);
if (feof(fin)) break;
train_words++;
if ((debug_mode > 1) && (train_words % 100000 == 0)) {
printf("%lldK%c", train_words / 1000, 13);
fflush(stdout);
}
i = SearchVocab(word);
if (i == -1) {// 如果这个单词不存在，我们将其加入hash表
a = AddWordToVocab(word);
vocab[a].cn = 1;
} else vocab[i].cn++;// 否则词频加一
// 如果超出装填系数，将词汇表扩容
if (vocab_size > vocab_hash_size * 0.7) ReduceVocab();
}
SortVocab();
if (debug_mode > 0) {
printf("Vocab size: %lld\n", vocab_size);
printf("Words in train file: %lld\n", train_words);
}
file_size = ftell(fin);//文件大小
fclose(fin);
}
struct vocabulary *ReadVocab(char *vocabfile) {
long long a, i = 0;
char c;
char word[MAX_STRING];
FILE *fin = fopen(vocabfile, "rb");
if (fin == NULL) {
printf("Vocabulary file not found\n");
exit(1);
}
struct vocabulary *v = CreateVocabulary();
while (1) {
ReadWord(word, fin, MAX_STRING);
if (feof(fin)) break;
a = AddWordToVocab(v, word);
fscanf(fin, "%lld%c", &v->vocab[a].cn, &c);
i++;
}
SortAndReduceVocab(v, 0);
printf("Vocab size: %ld\n", v->vocab_size);
printf("Word count: %lld\n", v->word_count);
return v;
}
