ukui-search/libchinese-segmentation/cppjieba/Jieba.hpp

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/*
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* The MIT License (MIT)
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*
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* Copyright (C) 2013 Yanyi Wu
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* Copyright (C) 2023, KylinSoft Co., Ltd.
*
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* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
* OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR
* OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
* ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
* OTHER DEALINGS IN THE SOFTWARE.
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*
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*/
#pragma once
#include <memory>
#include "QuerySegment.hpp"
#include "KeywordExtractor.hpp"
#include "segment-trie/segment-trie.h"
namespace cppjieba {
class Jieba {
public:
Jieba(const string& dict_path,
const string& model_path,
const string& user_dict_path,
const string& idfPath = "",
const string& stopWordPath = "",
const string& dat_cache_path = "")
: dict_trie_(dict_path, user_dict_path, dat_cache_path),
model_(model_path),
mp_seg_(&dict_trie_),
hmm_seg_(&model_),
mix_seg_(&dict_trie_, &model_, stopWordPath),
full_seg_(&dict_trie_),
query_seg_(&dict_trie_, &model_, stopWordPath),
extractor(&dict_trie_, &model_, idfPath, dat_cache_path, stopWordPath){ }
~Jieba() { }
void Cut(const string& sentence, vector<string>& words, bool hmm = true) const {
mix_seg_.CutToStr(sentence, words, hmm);
}
void Cut(const string& sentence, vector<Word>& words, bool hmm = true) const {
mix_seg_.CutToWord(sentence, words, hmm);
}
void CutAll(const string& sentence, vector<string>& words) const {
full_seg_.CutToStr(sentence, words);
}
void CutAll(const string& sentence, vector<Word>& words) const {
full_seg_.CutToWord(sentence, words);
}
void CutForSearch(const string& sentence, vector<string>& words, bool hmm = true) const {
query_seg_.CutToStr(sentence, words, hmm);
}
void CutForSearch(const string& sentence, vector<Word>& words, bool hmm = true) const {
query_seg_.CutToWord(sentence, words, hmm);
}
void CutHMM(const string& sentence, vector<string>& words) const {
hmm_seg_.CutToStr(sentence, words);
}
void CutHMM(const string& sentence, vector<Word>& words) const {
hmm_seg_.CutToWord(sentence, words);
}
void CutSmall(const string& sentence, vector<string>& words, size_t max_word_len) const {
mp_seg_.CutToStr(sentence, words, false, max_word_len);
}
void CutSmall(const string& sentence, vector<Word>& words, size_t max_word_len) const {
mp_seg_.CutToWord(sentence, words, false, max_word_len);
}
void Tag(const string& sentence, vector<pair<string, string> >& words) const {
mix_seg_.Tag(sentence, words);
}
string LookupTag(const string &str) const {
return mix_seg_.LookupTag(str);
}
void ResetSeparators(const string& s) {
//TODO
mp_seg_.ResetSeparators(s);
hmm_seg_.ResetSeparators(s);
mix_seg_.ResetSeparators(s);
full_seg_.ResetSeparators(s);
query_seg_.ResetSeparators(s);
}
const DictTrie* GetDictTrie() const {
return &dict_trie_;
}
const HMMModel* GetHMMModel() const {
return &model_;
}
private:
DictTrie dict_trie_;
HMMModel model_;
// They share the same dict trie and model
MPSegment mp_seg_;
HMMSegment hmm_seg_;
MixSegment mix_seg_;
FullSegment full_seg_;
QuerySegment query_seg_;
public:
KeywordExtractor extractor;
}; // class Jieba
} // namespace cppjieba