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PaddleSpeech/third_party/pymmseg-cpp/mmseg/mmseg-cpp/algor.h

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2.0 KiB

#ifndef _ALGORITHM_H_
#define _ALGORITHM_H_
#include <vector>
#include <string>
#include "chunk.h"
#include "dict.h"
#include "token.h"
/**
* The Algorithm of MMSeg use four rules:
* - Maximum matching rule
* - Largest average word length rule
* - Smallest variance of word length rule
* - Largest sum of degree of morphemic freedom of one-character
* words rule
*/
namespace rmmseg {
class Algorithm {
public:
// Algorithm(const char *text, int length)
Algorithm(const std::string text)
: m_text(text.c_str()),
m_text_(text),
m_pos(0),
m_text_length(text.size()),
m_tmp_words_i(0),
m_match_cache_i(0) {
for (int i = 0; i < match_cache_size; ++i) m_match_cache[i].first = -1;
}
Token next_token();
const char *get_text() const { return m_text; }
private:
Token get_basic_latin_word();
Token get_cjk_word(int);
std::vector<Chunk> create_chunks();
int next_word();
int next_char();
std::vector<Word *> find_match_words();
int max_word_length() { return 8; }
const char *m_text;
// https://github.com/pybind/pybind11/issues/2245
// NOTE: m_text will be cleaned by gc, so hold string by m_test_
const std::string m_text_;
int m_pos;
int m_text_length;
/* tmp words are only for 1-char words which
* are not exist in the dictionary. It's length
* value will be set to -1 to indicate it is
* a tmp word. */
Word *get_tmp_word() {
if (m_tmp_words_i >= max_tmp_words) m_tmp_words_i = 0; // round wrap
return &m_tmp_words[m_tmp_words_i++];
}
/* related to max_word_length and match_cache_size */
static const int max_tmp_words = 512;
Word m_tmp_words[max_tmp_words];
int m_tmp_words_i;
/* match word caches */
static const int match_cache_size = 3;
typedef std::pair<int, std::vector<Word *>> match_cache_t;
match_cache_t m_match_cache[match_cache_size];
int m_match_cache_i;
};
}
#endif /* _ALGORITHM_H_ */