├── .gitignore ├── LICENSE ├── MANIFEST.in ├── README.md ├── arch.png ├── kospacing_arch.png ├── pykospacing ├── __init__.py ├── embedding_maker.py ├── kospacing.py ├── pykos.py └── resources │ ├── __init__.py │ ├── dicts │ └── c2v.dic │ └── models │ ├── fingerprint.pb │ ├── saved_model.pb │ └── variables │ ├── variables.data-00000-of-00001 │ └── variables.index ├── requirements.txt ├── setup.py └── test.py /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | .eggs 3 | dist 4 | venv -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 2021 Heewon Jeon 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | PyKoSpacing Copyright (C) 2021 Heewon Jeon 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /MANIFEST.in: -------------------------------------------------------------------------------- 1 | include pykospacing/resources/dicts/* 2 | include pykospacing/resources/models/* 3 | include pykospacing/resources/models/variables/* 4 | include pykospacing/embedding_maker.py 5 | include pykospacing/kospacing.py 6 | 7 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | PyKoSpacing 2 | --------------- 3 | 4 | Python package for automatic Korean word spacing. 5 | 6 | R verson can be found [here](https://github.com/haven-jeon/KoSpacing). 7 | 8 | [![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](http://www.gnu.org/licenses/gpl-3.0) 9 | 10 | 11 | #### Introduction 12 | 13 | Word spacing is one of the important parts of the preprocessing of Korean text analysis. Accurate spacing greatly affects the accuracy of subsequent text analysis. `PyKoSpacing` has fairly accurate automatic word spacing performance,especially good for online text originated from SNS or SMS. 14 | 15 | For example. 16 | 17 | "아버지가방에들어가신다." can be spaced both of below. 18 | 19 | 20 | 1. "아버지가 방에 들어가신다." means "My father enters the room." 21 | 1. "아버지 가방에 들어가신다." means "My father goes into the bag." 22 | 23 | Common sense, the first is the right answer. 24 | 25 | `PyKoSpacing` is based on Deep Learning model trained from large corpus(more than 100 million NEWS articles from [Chan-Yub Park](https://github.com/mrchypark)). 26 | 27 | 28 | #### Performance 29 | 30 | | Test Set | Accuracy | 31 | |---|---| 32 | | Sejong(colloquial style) Corpus(1M) | 97.1% | 33 | | OOOO(literary style) Corpus(3M) | 94.3% | 34 | 35 | - Accuracy = # correctly spaced characters/# characters in the test data. 36 | - Might be increased performance if normalize compound words. 37 | 38 | 39 | #### Install 40 | 41 | ##### PyPI Install 42 | Pre-requisite: 43 | ```bash 44 | proper installation of python3 45 | proper installation of pip 46 | 47 | pip install tensorflow 48 | pip install keras 49 | 50 | 51 | Windows-Ubuntu case: On following error. 52 | On error: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.22' not found 53 | sudo apt-get install libstdc++6 54 | sudo add-apt-repository ppa:ubuntu-toolchain-r/test 55 | sudo apt-get update 56 | sudo apt-get upgrade 57 | sudo apt-get dist-upgrade (This takes long time.) 58 | ``` 59 | Darwin(m1) case: You should install tensorflow in a different way.(Use [Miniforge3](https://github.com/conda-forge/miniforge)) 60 | ```bash 61 | # Install Miniforge3 for mac 62 | curl -O https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh 63 | chmod +x Miniforge3-MacOSX-arm64.sh 64 | sh Miniforge3-MacOSX-arm64.sh 65 | # Activate Miniforge3 virtualenv 66 | # You should use Python version 3.10 or less. 67 | source ~/miniforge3/bin/activate 68 | # Install the Tensorflow dependencies 69 | conda install -c apple tensorflow-deps 70 | # Install base tensorflow 71 | python -m pip install tensorflow-macos 72 | # Install metal plugin 73 | python -m pip install tensorflow-metal 74 | ``` 75 | 76 | To install from GitHub, use 77 | 78 | pip install git+https://github.com/haven-jeon/PyKoSpacing.git 79 | 80 | 81 | #### Example 82 | 83 | ```python 84 | >>> from pykospacing import Spacing 85 | >>> spacing = Spacing() 86 | >>> spacing("김형호영화시장분석가는'1987'의네이버영화정보네티즌10점평에서언급된단어들을지난해12월27일부터올해1월10일까지통계프로그램R과KoNLP패키지로텍스트마이닝하여분석했다.") 87 | "김형호 영화시장 분석가는 '1987'의 네이버 영화 정보 네티즌 10점 평에서 언급된 단어들을 지난해 12월 27일부터 올해 1월 10일까지 통계 프로그램 R과 KoNLP 패키지로 텍스트마이닝하여 분석했다." 88 | >>> # Apply a list of words that must be non-spacing 89 | >>> spacing('귀밑에서턱까지잇따라난수염을구레나룻이라고한다.') 90 | '귀 밑에서 턱까지 잇따라 난 수염을 구레나 룻이라고 한다.' 91 | >>> spacing = Spacing(rules=['구레나룻']) 92 | >>> spacing('귀밑에서턱까지잇따라난수염을구레나룻이라고한다.') 93 | '귀 밑에서 턱까지 잇따라 난 수염을 구레나룻이라고 한다.' 94 | ``` 95 | 96 | Setting rules with csv file. (you only need to use `set_rules_by_csv()` method.) 97 | 98 | ```bash 99 | $ cat test.csv 100 | 인덱스,단어 101 | 1,네이버영화 102 | 2,언급된단어 103 | ``` 104 | 105 | ```python 106 | >>> from pykospacing import Spacing 107 | >>> spacing = Spacing(rules=['']) 108 | >>> spacing.set_rules_by_csv('./test.csv', '단어') 109 | >>> spacing("김형호영화시장분석가는'1987'의네이버영화정보네티즌10점평에서언급된단어들을지난해12월27일부터올해1월10일까지통계프로그램R과KoNLP패키지로텍스트마이닝하여분석했다.") 110 | "김형호 영화시장 분석가는 '1987'의 네이버영화 정보 네티즌 10점 평에서 언급된단어들을 지난해 12월 27일부터 올해 1월 10일까지 통계 프로그램 R과 KoNLP 패키지로 텍스트마이닝하여 분석했다." 111 | ``` 112 | 113 | Run on command line(thanks [lqez](https://github.com/lqez)). 114 | 115 | ```bash 116 | $ cat test_in.txt 117 | 김형호영화시장분석가는'1987'의네이버영화정보네티즌10점평에서언급된단어들을지난해12월27일부터올해1월10일까지통계프로그램R과KoNLP패키지로텍스트마이닝하여분석했다. 118 | 아버지가방에들어가신다. 119 | $ python -m pykospacing.pykos test_in.txt 120 | 김형호 영화시장 분석가는 '1987'의 네이버 영화 정보 네티즌 10점 평에서 언급된 단어들을 지난해 12월 27일부터 올해 1월 10일까지 통계 프로그램 R과 KoNLP 패키지로 텍스트마이닝하여 분석했다. 121 | 아버지가 방에 들어가신다. 122 | ``` 123 | 124 | Current model [have problems](https://github.com/haven-jeon/PyKoSpacing/issues/52) in some cases when the input includes English characters.
125 | PyKoSpacing provides the parameter `ignore` and `ignore_pattern` to deal with that problem. 126 | 127 | - **About `ignore` parameter** (str, optional)
128 | - `ignore='none'`: No pre/post-processing will be applied. The output will be the same as the model output.
129 | - `ignore='pre'`: Apply pre-processing which deletes characters that match with `ignore_pattern`. These deleted characters will be merged after model prediction. This option has the problem that it always puts space *after* the deleted characters, since it doesn't know if the deleted character will have a space to the left, right, or both of them.
130 | - `ignore='post'`: Apply post-processing which ignores model outputs on characters that match with `ignore_pattern`. This option has the problem that English characters in model input can also affect near non-English characters.
131 | - `ignore='pre2'`: Apply pre-processing which delete characters which matches with `ignore_pattern`, and predict on **both preprocessed text and original text**. This allows it to know where to put space left, right, or both of the deleted characters. However, this option requires to predict **twice**, which doubles the computation time.
132 | - Default: `ignore='none'` 133 | 134 | - **About `ignore_pattern` parameter** (str, optional)
135 | You can input your own regex pattern to `ignore_pattern`. The regex pattern should be the pattern of characters you want to ignore.
136 | - Default: ``ignore_pattern=r'[^가-힣ㄱ-ㅣ!-@[-`{-~\s]+,*( [^가-힣ㄱ-ㅣ!-@[-`{-~\s]+,*)*[.,!?]* *'``, which matches characters, words, or a sentence of non-Korean and non-ascii symbols. 137 | 138 | Examples of `ignore` parameter 139 | 140 | ```python 141 | >>> from pykospacing import Spacing 142 | >>> spacing = Spacing() 143 | >>> spacing("친구와함께bmw썬바이저를썼다.", ignore='none') 144 | "친구와 함께 bm w 썬바이저를 썼다." 145 | >>> spacing("친구와함께bmw썬바이저를썼다.", ignore='pre') 146 | "친구와 함께bmw 썬바이저를 썼다." 147 | >>> spacing("친구와함께bmw썬바이저를썼다.", ignore='post') 148 | "친구와 함께 bm w 썬바이저를 썼다." 149 | >>> spacing("친구와함께bmw썬바이저를썼다.", ignore='pre2') 150 | "친구와 함께 bmw 썬바이저를 썼다." 151 | 152 | >>> spacing("chicken박스를열고닭다리를꺼내입에문다.crispy한튀김옷덕에내입주변은glossy해진다.", ignore='none') 153 | "chicken박스를 열고 닭다리를 꺼내 입에 문다. crispy 한튀김 옷 덕에 내 입 주변은 glossy해진다." 154 | >>> spacing("chicken박스를열고닭다리를꺼내입에문다.crispy한튀김옷덕에내입주변은glossy해진다.", ignore='pre') 155 | "chicken박스를 열고 닭다리를 꺼내 입에 문다.crispy 한 튀김옷 덕에 내 입 주변은glossy 해진다." 156 | >>> spacing("chicken박스를열고닭다리를꺼내입에문다.crispy한튀김옷덕에내입주변은glossy해진다.", ignore='post') 157 | "chicken박스를 열고 닭다리를 꺼내 입에 문다. crispy 한튀김 옷 덕에 내 입 주변은 glossy해진다." 158 | >>> spacing("chicken박스를열고닭다리를꺼내입에문다.crispy한튀김옷덕에내입주변은glossy해진다.", ignore='pre2') 159 | "chicken박스를 열고 닭다리를 꺼내 입에 문다. crispy 한 튀김옷 덕에 내 입 주변은 glossy해진다." 160 | 161 | >>> spacing("김형호영화시장분석가는'1987'의네이버영화정보네티즌10점평에서언급된단어들을지난해12월27일부터올해1월10일까지통계프로그램R과KoNLP패키지로텍스트마이닝하여분석했다.", ignore='none') 162 | "김형호 영화시장 분석가는 '1987'의 네이버 영화 정보 네티즌 10점 평에서 언급된 단어들을 지난해 12월 27일부터 올해 1월 10일까지 통계 프로그램 R과 KoNLP 패키지로 텍스트마이닝하여 분석했다." 163 | >>> spacing("김형호영화시장분석가는'1987'의네이버영화정보네티즌10점평에서언급된단어들을지난해12월27일부터올해1월10일까지통계프로그램R과KoNLP패키지로텍스트마이닝하여분석했다.", ignore='pre') 164 | "김형호 영화시장 분석가는 '1987'의 네이버 영화 정보 네티즌 10점 평에서 언급된 단어들을 지난해 12월 27일부터 올해 1월 10일까지 통계 프로그램R과KoNLP 패키지로 텍스트마이닝하여 분석했다." 165 | >>> spacing("김형호영화시장분석가는'1987'의네이버영화정보네티즌10점평에서언급된단어들을지난해12월27일부터올해1월10일까지통계프로그램R과KoNLP패키지로텍스트마이닝하여분석했다.", ignore='post') 166 | "김형호 영화시장 분석가는 '1987'의 네이버 영화 정보 네티즌 10점 평에서 언급된 단어들을 지난해 12월 27일부터 올해 1월 10일까지 통계 프로그램 R과 KoNLP 패키지로 텍스트마이닝하여 분석했다." 167 | >>> spacing("김형호영화시장분석가는'1987'의네이버영화정보네티즌10점평에서언급된단어들을지난해12월27일부터올해1월10일까지통계프로그램R과KoNLP패키지로텍스트마이닝하여분석했다.", ignore='pre2') 168 | "김형호 영화시장 분석가는 '1987'의 네이버 영화 정보 네티즌 10점 평에서 언급된 단어들을 지난해 12월 27일부터 올해 1월 10일까지 통계 프로그램 R과 KoNLP 패키지로 텍스트마이닝하여 분석했다." 169 | ``` 170 | 171 | #### Model Architecture 172 | 173 | ![](kospacing_arch.png) 174 | 175 | 176 | #### For Training 177 | 178 | - Training code uses an architecture that is more advanced than PyKoSpacing, but also contains the learning logic of PyKoSpacing. 179 | - https://github.com/haven-jeon/Train_KoSpacing 180 | 181 | #### Citation 182 | 183 | ```markdowns 184 | @misc{heewon2018, 185 | author = {Heewon Jeon}, 186 | title = {KoSpacing: Automatic Korean word spacing}, 187 | publisher = {GitHub}, 188 | journal = {GitHub repository}, 189 | howpublished = {\url{https://github.com/haven-jeon/KoSpacing}} 190 | ``` 191 | 192 | ### Star History 193 | 194 | [![Star History Chart](https://api.star-history.com/svg?repos=haven-jeon/PyKoSpacing&type=Date)](https://star-history.com/#haven-jeon/PyKoSpacing&Date) 195 | 196 | 197 | -------------------------------------------------------------------------------- /arch.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/haven-jeon/PyKoSpacing/b32a889cbd10b006d2f4aba118f0cd5b677e2979/arch.png -------------------------------------------------------------------------------- /kospacing_arch.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/haven-jeon/PyKoSpacing/b32a889cbd10b006d2f4aba118f0cd5b677e2979/kospacing_arch.png -------------------------------------------------------------------------------- /pykospacing/__init__.py: -------------------------------------------------------------------------------- 1 | from pykospacing.kospacing import * 2 | -------------------------------------------------------------------------------- /pykospacing/embedding_maker.py: -------------------------------------------------------------------------------- 1 | from tensorflow.keras.preprocessing import sequence 2 | import json 3 | import numpy as np 4 | 5 | 6 | __all__ = ['load_embedding', 'load_vocab', 'encoding_and_padding'] 7 | 8 | 9 | def load_embedding(embeddings_file): 10 | return(np.load(embeddings_file)) 11 | 12 | 13 | def load_vocab(vocab_path): 14 | with open(vocab_path, 'r') as f: 15 | data = json.loads(f.read()) 16 | word2idx = data 17 | idx2word = dict([(v, k) for k, v in data.items()]) 18 | return word2idx, idx2word 19 | 20 | 21 | def encoding_and_padding(word2idx_dic, sequences, **params): 22 | """ 23 | 1. making item to idx 24 | 2. padding 25 | 26 | :word2idx_dic 27 | :sequences: list of lists where each element is a sequence 28 | :maxlen: int, maximum length 29 | :dtype: type to cast the resulting sequence. 30 | :padding: 'pre' or 'post', pad either before or after each sequence. 31 | :truncating: 'pre' or 'post', remove values from sequences larger than 32 | maxlen either in the beginning or in the end of the sequence 33 | :value: float, value to pad the sequences to the desired value. 34 | """ 35 | seq_idx = [[word2idx_dic.get(a, word2idx_dic['__ETC__']) for a in i] for i in sequences] 36 | params['value'] = word2idx_dic['__PAD__'] 37 | return(sequence.pad_sequences(seq_idx, **params).astype('float32')) 38 | -------------------------------------------------------------------------------- /pykospacing/kospacing.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | import os 3 | 4 | os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' 5 | import re 6 | import csv 7 | 8 | import numpy as np 9 | import pkg_resources 10 | from tensorflow.keras.layers import TFSMLayer 11 | from pykospacing.embedding_maker import encoding_and_padding, load_vocab 12 | 13 | __all__ = ['Spacing', ] 14 | 15 | 16 | model_path = pkg_resources.resource_filename( 17 | 'pykospacing', os.path.join('resources', 'models')) 18 | dic_path = pkg_resources.resource_filename( 19 | 'pykospacing', os.path.join('resources', 'dicts', 'c2v.dic')) 20 | MODEL = TFSMLayer(model_path,call_endpoint="serving_default") 21 | #MODEL.make_predict_function() 22 | W2IDX, _ = load_vocab(dic_path) 23 | MAX_LEN = 198 24 | 25 | 26 | class Spacing: 27 | """predict spacing for input string 28 | """ 29 | 30 | def __init__(self, rules=[]): 31 | self._model = MODEL 32 | self._w2idx = W2IDX 33 | self.max_len = MAX_LEN 34 | self.pattern = re.compile(r'\s+') 35 | self.rules = {} 36 | for r in rules: 37 | if type(r) == str: 38 | self.rules[r] = re.compile('\s*'.join(r)) 39 | else: 40 | raise ValueError("rules must to have only string values.") 41 | 42 | def set_rules_by_csv(self, file_path, key=None): 43 | with open(file_path, 'r', encoding='UTF-8') as csvfile: 44 | csv_var = csv.reader(csvfile) 45 | if key == None: 46 | for line in csv_var: 47 | for word in line: 48 | self.rules[word] = re.compile('\s*'.join(word)) 49 | else: 50 | csv_var = list(csv_var) 51 | index = -1 52 | for i, word in enumerate(csv_var[0]): 53 | if word == key: 54 | index = i 55 | break 56 | 57 | if index == -1: 58 | raise KeyError(f"'{key}' is not in csv file") 59 | 60 | for line in csv_var: 61 | self.rules[line[index]] = re.compile('\s*'.join(line[index])) 62 | 63 | def get_spaced_sent(self, raw_sent, deleted_str_list=None, deleted_idx_list=None, orig_sent=None, post_process=False): 64 | raw_sent_ = "«" + raw_sent + "»" 65 | raw_sent_ = raw_sent_.replace(' ', '^') 66 | sents_in = [raw_sent_, ] 67 | mat_in = encoding_and_padding( 68 | word2idx_dic=self._w2idx, sequences=sents_in, maxlen=200, 69 | padding='post', truncating='post') 70 | results = self._model(mat_in) 71 | mat_set = results['output_0'][0] 72 | preds = np.array(['1' if i > 0.5 else '0' for i in mat_set[:len(raw_sent_)]]) 73 | if orig_sent is not None: 74 | orig_sent_ = "«" + orig_sent + "»" 75 | orig_sent_ = orig_sent_.replace(' ', '^') 76 | sents_in = [orig_sent_, ] 77 | mat_in = encoding_and_padding( 78 | word2idx_dic=self._w2idx, sequences=sents_in, maxlen=200, 79 | padding='post', truncating='post') 80 | results = self._model(mat_in) 81 | mat_set = results['output_0'][0] 82 | orig_preds = np.array(['1' if i > 0.5 else '0' for i in mat_set[:len(orig_sent_)]]) 83 | else: 84 | orig_sent_ = None 85 | orig_preds = None 86 | return self.make_pred_sents(raw_sent_, preds, orig_sent_, orig_preds, deleted_str_list, deleted_idx_list, post_process) 87 | 88 | def make_pred_sents(self, x_sents, y_pred, 89 | orig_sent_=None, orig_preds=None, deleted_str_list=None, deleted_idx_list=None, post_process=False): 90 | res_sent = [] 91 | accum_idx = 0 92 | adjusted_idx = 0 93 | for i in range(len(x_sents)): 94 | res_sent.append(x_sents[i]) 95 | if deleted_str_list: # if ignore is 'pre' or 'pre2' and deleted_str is not empty 96 | if deleted_idx_list[accum_idx] == i: # if have to insert deleted_str 97 | if orig_preds is not None and orig_preds[adjusted_idx] == '1': 98 | # if ignore is 'pre2' and have to insert space before deleted_str 99 | res_sent.append(' ') 100 | res_sent.append(deleted_str_list[accum_idx]) # insert deleted_str 101 | adjusted_idx += len(deleted_str_list[accum_idx]) 102 | if accum_idx < len(deleted_idx_list) - 1: 103 | accum_idx += 1 104 | if orig_preds is not None and orig_preds[adjusted_idx] == '1': 105 | # if ignore is 'pre2' and have to insert space after deleted_str 106 | res_sent.append(' ') 107 | if orig_preds is None and y_pred[i] == '1': 108 | # if ignore is 'pre' and have to insert space, just insert space after deleted_str (it is not perfect) 109 | res_sent.append(' ') 110 | else: 111 | if y_pred[i] == '1': 112 | if post_process and deleted_idx_list: 113 | # if ignore is 'post' and have to ignore space, just insert space before the character 114 | for start, end in deleted_idx_list: 115 | if start <= i < end: 116 | break 117 | else: 118 | # only append space if the index is not in the range of deleted_idx_list 119 | res_sent.append(' ') 120 | else: 121 | res_sent.append(' ') 122 | else: # if ignore is 'none' or 'post' or deleted_str is empty 123 | if y_pred[i] == '1': 124 | res_sent.append(' ') 125 | adjusted_idx += 1 126 | subs = re.sub(self.pattern, ' ', ''.join(res_sent).replace('^', ' ')) 127 | subs = subs.replace('«', '') 128 | subs = subs.replace('»', '') 129 | return subs 130 | 131 | def apply_rules(self, spaced_sent): 132 | for word, rgx in self.rules.items(): 133 | spaced_sent = rgx.sub(word, spaced_sent) 134 | return spaced_sent 135 | 136 | def __call__(self, sent, ignore='none', 137 | ignore_pattern=r'[^가-힣ㄱ-ㅣ!-@[-`{-~\s]+,*( [^가-힣ㄱ-ㅣ!-@[-`{-~\s]+,*)*[.,!?]* *'): 138 | assert ignore in ['none', 'pre', 'pre2', 'post'] 139 | if len(sent) > self.max_len: 140 | splitted_sent = [sent[y - self.max_len:y] for y in 141 | range(self.max_len, len(sent) + self.max_len, self.max_len)] 142 | else: 143 | splitted_sent = [sent] 144 | result_sent = [] 145 | for i in range(len(splitted_sent)): 146 | if ignore in ['pre', 'pre2']: 147 | # delete the characters that are not Korean or symbol *first*. 148 | # also save the deleted characters and their indices. 149 | # the format of deleted_idx_list is different from the below. 150 | # (it is a list of integers, index of filtered_sent) 151 | filtered_sent = re.sub(ignore_pattern, '', splitted_sent[i]) 152 | deleted_str_list = [] 153 | deleted_idx_list = [] 154 | accum_len = 0 155 | for deleted_str in re.finditer(ignore_pattern, splitted_sent[i]): 156 | deleted_str_list.append(deleted_str.group()) 157 | deleted_idx_list.append(deleted_str.span()[0] - accum_len) 158 | accum_len += len(deleted_str.group()) 159 | elif ignore == 'post': 160 | # just save the index of the characters that are not Korean or symbol. 161 | # the characters will be deleted *later*. 162 | # the format of deleted_idx_list is different from the above. 163 | # (it is a list of tuples, index of splitted_sent) 164 | filtered_sent = splitted_sent[i] 165 | deleted_str_list = None 166 | deleted_idx_list = [] 167 | for deleted_str in re.finditer(ignore_pattern, splitted_sent[i]): 168 | deleted_idx_list.append((deleted_str.span()[0], deleted_str.span()[1])) 169 | else: 170 | # if ignore == 'none', do nothing. 171 | filtered_sent = splitted_sent[i] 172 | deleted_str_list = None 173 | deleted_idx_list = None 174 | # if ignore == 'pre2', orig_sent is needed for double prediction 175 | orig_sent = splitted_sent[i] if ignore == 'pre2' else None 176 | # if ignore == 'post', set post_process to True 177 | post_process = True if ignore == 'post' else False 178 | spaced_sent = self.get_spaced_sent(filtered_sent, deleted_str_list, deleted_idx_list, orig_sent, post_process) 179 | result_sent.append(spaced_sent) 180 | spaced_sent = ''.join(result_sent) 181 | if len(self.rules) > 0: 182 | spaced_sent = self.apply_rules(spaced_sent) 183 | return spaced_sent.strip() 184 | -------------------------------------------------------------------------------- /pykospacing/pykos.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | import sys 3 | import argparse 4 | from pykospacing import Spacing 5 | 6 | 7 | def get_parser(): 8 | parser = argparse.ArgumentParser(description='Python script for automatic Korean word spacing') 9 | 10 | parser.add_argument('infile', type=argparse.FileType('r'), 11 | default=sys.stdin) 12 | parser.add_argument('outfile', type=argparse.FileType('w'), nargs='?', 13 | default=sys.stdout) 14 | parser.add_argument('-o', dest='overwrite', action='store_true', default=False, 15 | help='Overwrite the result itself') 16 | 17 | return parser 18 | 19 | 20 | def main(args=sys.argv[1:]): 21 | args = get_parser().parse_args(args) 22 | 23 | source = args.infile.read() 24 | 25 | result = '\n' 26 | spacing = Spacing() 27 | for line in source.splitlines(): 28 | result += spacing(line) 29 | result += '\n' 30 | 31 | if args.overwrite: 32 | args.infile.close() 33 | with open(args.infile.name, 'w', encoding=args.infile.encoding) as f: 34 | f.write(result) 35 | else: 36 | args.outfile.write(result) 37 | 38 | return 0 if (source == result) else 1 39 | 40 | 41 | if __name__ == '__main__': 42 | sys.exit(main()) 43 | -------------------------------------------------------------------------------- /pykospacing/resources/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/haven-jeon/PyKoSpacing/b32a889cbd10b006d2f4aba118f0cd5b677e2979/pykospacing/resources/__init__.py -------------------------------------------------------------------------------- /pykospacing/resources/dicts/c2v.dic: -------------------------------------------------------------------------------- 1 | {"\u00ab": 7, "\uc637": 758, "\uc744": 4, "^": 0, "\ub9cc": 61, 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https://raw.githubusercontent.com/haven-jeon/PyKoSpacing/b32a889cbd10b006d2f4aba118f0cd5b677e2979/pykospacing/resources/models/fingerprint.pb -------------------------------------------------------------------------------- /pykospacing/resources/models/saved_model.pb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/haven-jeon/PyKoSpacing/b32a889cbd10b006d2f4aba118f0cd5b677e2979/pykospacing/resources/models/saved_model.pb -------------------------------------------------------------------------------- /pykospacing/resources/models/variables/variables.data-00000-of-00001: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/haven-jeon/PyKoSpacing/b32a889cbd10b006d2f4aba118f0cd5b677e2979/pykospacing/resources/models/variables/variables.data-00000-of-00001 -------------------------------------------------------------------------------- /pykospacing/resources/models/variables/variables.index: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/haven-jeon/PyKoSpacing/b32a889cbd10b006d2f4aba118f0cd5b677e2979/pykospacing/resources/models/variables/variables.index -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | tensorflow >= 2.16.2 2 | h5py >= 3.10.0 3 | argparse >= 1.1.0 4 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup 2 | import os, platform 3 | 4 | def requirements(): 5 | if platform.system() == 'Darwin': 6 | return [] 7 | 8 | def open_req(req_file): 9 | with open(os.path.join(os.path.dirname(os.path.abspath("__file__")), req_file)) as f: 10 | return f.read().splitlines() 11 | 12 | return open_req('requirements.txt') 13 | 14 | setup(name='pykospacing', 15 | python_requires='>=3.6', 16 | version=0.5, 17 | url='https://github.com/haven-jeon/PyKoSpacing', 18 | license='GPL-3', 19 | author='Heewon Jeon', 20 | author_email='madjakarta@gmail.com', 21 | description='Python package for automatic Korean word spacing.', 22 | packages=['pykospacing', ], 23 | long_description=open('README.md', encoding='utf-8').read(), 24 | zip_safe=False, 25 | include_package_data=True, 26 | 27 | install_requires=requirements(), 28 | 29 | entry_points={ 30 | 'console_scripts': [ 31 | 'pykos = pykospacing.pykos:main', 32 | ], 33 | }, 34 | ) 35 | -------------------------------------------------------------------------------- /test.py: -------------------------------------------------------------------------------- 1 | from pykospacing import Spacing 2 | spacing = Spacing() 3 | 4 | blue_archive = """아즈사쨩이살인자가되는건싫어요... 5 | 그런어둡고우울한이야기,전싫어요 6 | 그게진실이라고,이세계의본질이라고해도,전싫어요! 7 | 저는좋아하는게있어요! 8 | 평범하고,별다른개성도없는저이지만....자신이좋아하는것에한해선절대로양보못해요! 9 | 우정으로고난을극복하여 10 | 노력이제대로보답받아서 11 | 힘든일은위로받고,친구들과서로위로해주고......! 12 | 괴로운일이있어도....누구나가최후엔,웃는얼굴이될수있는! 13 | 그런해피엔딩을전좋아해요!! 14 | 누가뭐라고말해도,몇번이고말해보이겠어요! 15 | 저희가그려나가는이야기는,저희가정하는거에요! 16 | 끝내거나하지않을거에요,앞으로도계속이어나갈거에요! 17 | 우리들의이야기...... 18 | 우리들의,청춘의이야기를!!""" 19 | 20 | print(spacing("김형호영화시장분석가는'1987'의네이버영화정보네티즌10점평에서언급된단어들을지난해12월27일부터올해1월10일까지통계프로그램R과KoNLP패키지로텍스트마이닝하여분석했다.")) 21 | print(spacing('귀밑에서턱까지잇따라난수염을구레나룻이라고한다.')) 22 | 23 | spacing = Spacing(rules=['구레나룻']) 24 | 25 | print(spacing('귀밑에서턱까지잇따라난수염을구레나룻이라고한다.')) 26 | 27 | hifumi_daisuki = '' 28 | 29 | for hifumi_word in blue_archive.split('\n'): 30 | hifumi_daisuki += spacing(hifumi_word) + '\n' 31 | print(hifumi_daisuki) --------------------------------------------------------------------------------