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/*
* libpinyin
* Library to deal with pinyin.
*
* Copyright (C) 2011 Peng Wu <alexepico@gmail.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <locale.h>
#include "pinyin_internal.h"
#include "k_mixture_model.h"
static const gchar * bigram_filename = "k_mixture_model_ngram.db";
static const gchar * deleted_bigram_filename = "k_mixture_model_deleted_ngram.db";
static GOptionEntry entries[] =
{
{"bigram-file", 0, 0, G_OPTION_ARG_FILENAME, &bigram_filename, "the bigram file", NULL},
{"deleted-bigram-file", 0, 0, G_OPTION_ARG_FILENAME, &deleted_bigram_filename, "the deleted bigram file", NULL},
{NULL}
};
parameter_t compute_interpolation(KMixtureModelSingleGram * deleted_bigram,
KMixtureModelBigram * unigram,
KMixtureModelSingleGram * bigram){
bool success;
parameter_t lambda = 0, next_lambda = 0.6;
parameter_t epsilon = 0.001;
KMixtureModelMagicHeader magic_header;
check_result(unigram->get_magic_header(magic_header));
assert(0 != magic_header.m_total_freq);
while (fabs(lambda - next_lambda) > epsilon){
lambda = next_lambda;
next_lambda = 0;
parameter_t numerator = 0;
parameter_t part_of_denominator = 0;
FlexibleBigramPhraseArray array = g_array_new(FALSE, FALSE, sizeof(KMixtureModelArrayItemWithToken));
deleted_bigram->retrieve_all(array);
for ( size_t i = 0; i < array->len; ++i){
KMixtureModelArrayItemWithToken * item = &g_array_index(array, KMixtureModelArrayItemWithToken, i);
//get the phrase token
phrase_token_t token = item->m_token;
guint32 deleted_count = item->m_item.m_WC;
{
parameter_t elem_poss = 0;
KMixtureModelArrayHeader array_header;
KMixtureModelArrayItem array_item;
if ( bigram && bigram->get_array_item(token, array_item) ){
check_result(bigram->get_array_header(array_header));
assert(0 != array_header.m_WC);
elem_poss = array_item.m_WC / (parameter_t) array_header.m_WC;
}
numerator = lambda * elem_poss;
}
{
parameter_t elem_poss = 0;
KMixtureModelArrayHeader array_header;
if (unigram->get_array_header(token, array_header)){
elem_poss = array_header.m_freq / (parameter_t) magic_header.m_total_freq;
}
part_of_denominator = (1 - lambda) * elem_poss;
}
if (0 == (numerator + part_of_denominator))
continue;
next_lambda += deleted_count * (numerator / (numerator + part_of_denominator));
}
KMixtureModelArrayHeader header;
check_result(deleted_bigram->get_array_header(header));
assert(0 != header.m_WC);
next_lambda /= header.m_WC;
g_array_free(array, TRUE);
}
lambda = next_lambda;
return lambda;
}
int main(int argc, char * argv[]){
setlocale(LC_ALL, "");
GError * error = NULL;
GOptionContext * context;
context = g_option_context_new("- estimate k mixture model");
g_option_context_add_main_entries(context, entries, NULL);
if (!g_option_context_parse(context, &argc, &argv, &error)) {
g_print("option parsing failed:%s\n", error->message);
exit(EINVAL);
}
/* magic header signature check here. */
KMixtureModelBigram bigram(K_MIXTURE_MODEL_MAGIC_NUMBER);
bigram.attach(bigram_filename, ATTACH_READONLY);
KMixtureModelBigram deleted_bigram(K_MIXTURE_MODEL_MAGIC_NUMBER);
deleted_bigram.attach(deleted_bigram_filename, ATTACH_READONLY);
GArray * deleted_items = g_array_new(FALSE, FALSE, sizeof(phrase_token_t));
deleted_bigram.get_all_items(deleted_items);
parameter_t lambda_sum = 0;
int lambda_count = 0;
for( size_t i = 0; i < deleted_items->len; ++i ){
phrase_token_t * token = &g_array_index(deleted_items, phrase_token_t, i);
KMixtureModelSingleGram * single_gram = NULL;
bigram.load(*token, single_gram, true);
KMixtureModelSingleGram * deleted_single_gram = NULL;
deleted_bigram.load(*token, deleted_single_gram);
KMixtureModelArrayHeader array_header;
if (single_gram)
check_result(single_gram->get_array_header(array_header));
KMixtureModelArrayHeader deleted_array_header;
check_result(deleted_single_gram->get_array_header(deleted_array_header));
if ( 0 != deleted_array_header.m_WC ) {
parameter_t lambda = compute_interpolation(deleted_single_gram, &bigram, single_gram);
printf("token:%d lambda:%f\n", *token, lambda);
lambda_sum += lambda;
lambda_count ++;
}
if (single_gram)
delete single_gram;
delete deleted_single_gram;
}
printf("average lambda:%f\n", (lambda_sum/lambda_count));
g_array_free(deleted_items, TRUE);
return 0;
}
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