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author | Peng Wu <alexepico@gmail.com> | 2011-06-07 16:10:35 +0800 |
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committer | Peng Wu <alexepico@gmail.com> | 2011-06-07 16:10:35 +0800 |
commit | 6b9c537506903a8e01eba10fa12200bfdf75ef9f (patch) | |
tree | 92997d691e4989ce1b0cf605eead35ee954a14a0 /utils | |
parent | 00b8f056a10af903b15b29c6c782b3f74a6147aa (diff) | |
download | libpinyin-6b9c537506903a8e01eba10fa12200bfdf75ef9f.tar.gz libpinyin-6b9c537506903a8e01eba10fa12200bfdf75ef9f.tar.xz libpinyin-6b9c537506903a8e01eba10fa12200bfdf75ef9f.zip |
add unigram to gen k mixture model
Diffstat (limited to 'utils')
-rw-r--r-- | utils/training/gen_k_mixture_model.cpp | 58 | ||||
-rw-r--r-- | utils/training/k_mixture_model.h | 3 |
2 files changed, 56 insertions, 5 deletions
diff --git a/utils/training/gen_k_mixture_model.cpp b/utils/training/gen_k_mixture_model.cpp index 8ab7b2d..c26ac49 100644 --- a/utils/training/gen_k_mixture_model.cpp +++ b/utils/training/gen_k_mixture_model.cpp @@ -27,6 +27,7 @@ typedef GHashTable * HashofDocument; typedef GHashTable * HashofSecondWord; +typedef GHashTable * HashofUnigram; /* Hash token of Hash token of word count. */ static guint32 g_maximum_occurs = 20; @@ -44,7 +45,8 @@ void print_help(){ bool read_document(PhraseLargeTable * phrases, FILE * document, - HashofDocument hash_of_document){ + HashofDocument hash_of_document, + HashofUnigram hash_of_unigram){ char * linebuf = NULL; size_t size = 0; phrase_token_t last_token, cur_token = last_token = 0; @@ -76,6 +78,20 @@ bool read_document(PhraseLargeTable * phrases, FILE * document, if ( null_token == cur_token ) continue; + gpointer value = NULL; + gboolean lookup_result = g_hash_table_lookup_extended + (hash_of_unigram, GUINT_TO_POINTER(cur_token), + NULL, &value); + if ( !lookup_result ){ + g_hash_table_insert(hash_of_unigram, GUINT_TO_POINTER(cur_token), + GUINT_TO_POINTER(1)); + } else { + guint32 freq = GPOINTER_TO_UINT(value); + freq ++; + g_hash_table_insert(hash_of_unigram, GUINT_TO_POINTER(cur_token), + GUINT_TO_POINTER(freq)); + } + /* skip pi-gram training. */ if ( null_token == last_token ){ if ( !g_train_pi_gram ) @@ -84,9 +100,8 @@ bool read_document(PhraseLargeTable * phrases, FILE * document, } /* remember the (last_token, cur_token) word pair. */ - gpointer value = NULL; HashofSecondWord hash_of_second_word = NULL; - gboolean lookup_result = g_hash_table_lookup_extended + lookup_result = g_hash_table_lookup_extended (hash_of_document, GUINT_TO_POINTER(last_token), NULL, &value); if ( !lookup_result ){ @@ -227,6 +242,33 @@ static bool train_second_word(KMixtureModelBigram * bigram, return true; } +/* Note: this method is a post-processing method, run this last. */ +static bool post_processing_unigram(KMixtureModelBigram * bigram, + HashofUnigram hash_of_unigram){ + GHashTableIter iter; + gpointer key, value; + guint32 total_freq = 0; + + g_hash_table_iter_init(&iter, hash_of_unigram); + while (g_hash_table_iter_next(&iter, &key, &value)){ + guint32 token = GPOINTER_TO_UINT(key); + guint32 freq = GPOINTER_TO_UINT(value); + KMixtureModelArrayHeader array_header; + memset(&array_header, 0, sizeof(KMixtureModelArrayHeader)); + bool result = bigram->get_array_header(token, array_header); + array_header.m_freq += freq; + total_freq += freq; + bigram->set_array_header(token, array_header); + } + + KMixtureModelMagicHeader magic_header; + assert(bigram->get_magic_header(magic_header)); + magic_header.m_total_freq += total_freq; + assert(bigram->set_magic_header(magic_header)); + + return true; +} + int main(int argc, char * argv[]){ int i = 1; const char * k_mixture_model_filename = NULL; @@ -282,8 +324,11 @@ int main(int argc, char * argv[]){ HashofDocument hash_of_document = g_hash_table_new (g_direct_hash, g_direct_equal); + HashofUnigram hash_of_unigram = g_hash_table_new + (g_direct_hash, g_direct_equal); - assert(read_document(&phrases, document, hash_of_document)); + assert(read_document(&phrases, document, + hash_of_document, hash_of_unigram)); fclose(document); document = NULL; @@ -302,6 +347,8 @@ int main(int argc, char * argv[]){ magic_header.m_N ++; assert(bigram.set_magic_header(magic_header)); + post_processing_unigram(&bigram, hash_of_unigram); + /* free resources of g_hash_of_document */ g_hash_table_iter_init(&iter, hash_of_document); while (g_hash_table_iter_next(&iter, &key, &value)) { @@ -312,6 +359,9 @@ int main(int argc, char * argv[]){ g_hash_table_unref(hash_of_document); hash_of_document = NULL; + g_hash_table_unref(hash_of_unigram); + hash_of_unigram = NULL; + ++i; } diff --git a/utils/training/k_mixture_model.h b/utils/training/k_mixture_model.h index f122792..086455f 100644 --- a/utils/training/k_mixture_model.h +++ b/utils/training/k_mixture_model.h @@ -119,9 +119,10 @@ typedef struct{ typedef struct{ /* dummy varibles */ - guint32 dummy[2]; + guint32 dummy[3]; /* the freq of uni-gram. see m_total_freq in magic header also. */ guint32 m_freq; + guint32 dummy2[3]; /* the total number of instances of word W1. */ guint32 m_WC; } KMixtureModelArrayHeader; |