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[Chinese NLP Toolkits 中文NLP工具](https://github.com/crownpku/awesome-chinese-nlp#chinese-nlp-toolkits-中文nlp工具) 17 | 18 | * #### [Toolkits 综合NLP工具包](https://github.com/crownpku/awesome-chinese-nlp#toolkits-综合nlp工具包-1) 19 | * #### [Popular NLP Toolkits for English/Multi-Language 常用的英文或支持多语言的NLP工具包](https://github.com/crownpku/awesome-chinese-nlp#popular-nlp-toolkits-for-englishmulti-language-常用的英文或支持多语言的nlp工具包-1) 20 | * #### [Chinese Word Segment 中文分词](https://github.com/crownpku/awesome-chinese-nlp#chinese-word-segment-中文分词-1) 21 | * #### [Information Extraction 信息提取](https://github.com/crownpku/awesome-chinese-nlp#information-extraction-信息提取-1) 22 | * #### [QA & Chatbot 问答和聊天机器人](https://github.com/crownpku/awesome-chinese-nlp#qa--chatbot-问答和聊天机器人-1) 23 | 24 | ### 2. [Corpus 中文语料](https://github.com/crownpku/awesome-chinese-nlp#corpus-中文语料) 25 | 26 | ### 3. [Organizations 相关中文NLP组织和会议](https://github.com/crownpku/awesome-chinese-nlp#organizations-相关中文nlp组织和会议) 27 | 28 | ### 4. [Learning Materials 学习资料](https://github.com/crownpku/awesome-chinese-nlp#learning-materials-学习资料) 29 | 30 | 31 | 32 | 33 | ## Chinese NLP Toolkits 中文NLP工具 34 | 35 | 36 | ### Toolkits 综合NLP工具包 37 | 38 | - [THULAC 中文词法分析工具包](http://thulac.thunlp.org/) by 清华 (C++/Java/Python) 39 | 40 | - [NLPIR](https://github.com/NLPIR-team/NLPIR) by 中科院 (Java) 41 | 42 | - [LTP 语言技术平台](https://github.com/HIT-SCIR/ltp) by 哈工大 (C++) 43 | 44 | - [FudanNLP](https://github.com/FudanNLP/fnlp) by 复旦 (Java) 45 | 46 | - [BosonNLP](http://bosonnlp.com/) by Boson (商业API服务) 47 | 48 | - [HanNLP](https://github.com/hankcs/HanLP) (Java) 49 | 50 | - [SnowNLP](https://github.com/isnowfy/snownlp) (Python) Python library for processing Chinese text 51 | 52 | - [YaYaNLP](https://github.com/Tony-Wang/YaYaNLP) (Python) 纯python编写的中文自然语言处理包，取名于“牙牙学语” 53 | 54 | - [DeepNLP](https://github.com/rockingdingo/deepnlp) (Python) Deep Learning NLP Pipeline implemented on Tensorflow with pretrained Chinese models. 55 | 56 | - [chinese_nlp](https://github.com/taozhijiang/chinese_nlp) (C++ & Python) Chinese Natural Language Processing tools and examples 57 | 58 | - [Chinese-Annotator](https://github.com/crownpku/Chinese-Annotator) (Python) Annotator for Chinese Text Corpus 中文文本标注工具 59 | 60 | 61 | ### Popular NLP Toolkits for English/Multi-Language 常用的英文或支持多语言的NLP工具包 62 | 63 | - [CoreNLP](https://github.com/stanfordnlp/CoreNLP) by Stanford (Java) 64 | 65 | - [NLTK](http://www.nltk.org/) (Python) 66 | 67 | - [spaCy](https://spacy.io/) (Python) 68 | 69 | - [OpenNLP](https://opennlp.apache.org/) (Java) 70 | 71 | - [gensim](https://github.com/RaRe-Technologies/gensim) (Python) Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. 72 | 73 | 74 | ### Chinese Word Segment 中文分词 75 | 76 | - [Jieba 结巴中文分词](https://github.com/fxsjy/jieba) (Python) 做最好的 Python 中文分词组件 77 | 78 | - [kcws 深度学习中文分词](https://github.com/koth/kcws) (Python) BiLSTM+CRF与IDCNN+CRF 79 | 80 | - [ID-CNN-CWS](https://github.com/hankcs/ID-CNN-CWS) (Python) Iterated Dilated Convolutions for Chinese Word Segmentation 81 | 82 | - [Genius 中文分词](https://github.com/duanhongyi/genius) (Python) Genius是一个开源的python中文分词组件，采用 CRF(Conditional Random Field)条件随机场算法。 83 | 84 | - [loso 中文分词](https://github.com/fangpenlin/loso) (Python) 85 | 86 | 87 | ### Information Extraction 信息提取 88 | 89 | - [MITIE](https://github.com/mit-nlp/MITIE) (C++) library and tools for information extraction 90 | 91 | - [Duckling](https://github.com/facebookincubator/duckling) (Haskell) Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings. 92 | 93 | - [IEPY](https://github.com/machinalis/iepy) (Python) IEPY is an open source tool for Information Extraction focused on Relation Extraction. 94 | 95 | - [Snorkel](https://github.com/HazyResearch/snorkel): A training data creation and management system focused on information extraction 96 | 97 | - [Neural Relation Extraction implemented with LSTM in TensorFlow](https://github.com/thunlp/TensorFlow-NRE) 98 | 99 | - [A neural network model for Chinese named entity recognition](https://github.com/zjy-ucas/ChineseNER) 100 | 101 | - [Information-Extraction-Chinese](https://github.com/crownpku/Information-Extraction-Chinese) Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取 102 | 103 | 104 | ### QA & Chatbot 问答和聊天机器人 105 | 106 | - [Rasa NLU](https://github.com/RasaHQ/rasa_nlu) (Python) turn natural language into structured data 107 | 108 | - [Rasa Core](https://github.com/RasaHQ/rasa_core) (Python) machine learning based dialogue engine for conversational software 109 | 110 | - [Chatterbot](https://github.com/gunthercox/ChatterBot) (Python) ChatterBot is a machine learning, conversational dialog engine for creating chat bots. 111 | 112 | - [Chatbot](https://github.com/zake7749/Chatbot) (Python) 基於向量匹配的情境式聊天機器人 113 | 114 | - [Tipask](https://github.com/sdfsky/tipask) (PHP) 一款开放源码的PHP问答系统，基于Laravel框架开发，容易扩展，具有强大的负载能力和稳定性。 115 | 116 | - [QuestionAnsweringSystem](https://github.com/ysc/QuestionAnsweringSystem) (Java) 一个Java实现的人机问答系统，能够自动分析问题并给出候选答案。 117 | 118 | - [使用TensorFlow实现的Sequence to Sequence的聊天机器人模型](https://github.com/qhduan/Seq2Seq_Chatbot_QA) (Python) 119 | 120 | - [使用深度学习算法实现的中文阅读理解问答系统](https://github.com/S-H-Y-GitHub/QA) (Python) 121 | 122 | - [DuReader中文阅读理解Baseline代码](https://github.com/baidu/DuReader) (Python) 123 | 124 | 125 | ## Corpus 中文语料 126 | 127 | - [开放知识图谱OpenKG.cn](http://openkg.cn) 128 | 129 | - [大规模中文概念图谱CN-Probase](http://kw.fudan.edu.cn/cnprobase/search/) [公众号介绍](https://mp.weixin.qq.com/s?__biz=MzI0MTI1Nzk1MA==&mid=2651675884&idx=1&sn=1a43a93fd5bb53c8a9e48518bfa41db8&chksm=f2f7a05dc580294b227332b1051bfa2e5c756c72efb4d102c83613185b571ac31343720a6eae&mpshare=1&scene=1&srcid=1113llNDS1MvoadhCki83ERW#rd) 130 | 131 | - [CLDC中文语言资源联盟](http://www.chineseldc.org/) 132 | 133 | - [中文 Wikipedia Dump](https://dumps.wikimedia.org/zhwiki/) 134 | 135 | - [98年人民日报词性标注库@百度盘](https://pan.baidu.com/s/1gd6mslt) 136 | 137 | - [百度百科100gb语料@百度盘](http://pan.baidu.com/s/1i3wvfil) 密码neqs 出处应该是梁斌penny大神 138 | 139 | - [搜狗20061127新闻语料(包含分类)@百度盘](https://pan.baidu.com/s/1bnhXX6Z) 140 | 141 | - [UDChinese](https://github.com/UniversalDependencies/UD_Chinese) (for training spaCy POS) 142 | 143 | - [中文word2vec模型](https://github.com/to-shimo/chinese-word2vec) 144 | 145 | - [中文word2vec模型之维基百科中文](https://github.com/Samurais/wikidata-corpus) 使用2017年6月20日中文维基百科语料训练的脚本和模型文件。 146 | 147 | - [Synonyms:中文近义词工具包](https://github.com/huyingxi/Synonyms/) 基于维基百科中文和word2vec训练的近义词库，封装为python包文件。 148 | 149 | - [Chinese_conversation_sentiment](https://github.com/z17176/Chinese_conversation_sentiment) A Chinese sentiment dataset may be useful for sentiment analysis. 150 | 151 | - [中文突发事件语料库](https://github.com/shijiebei2009/CEC-Corpus) Chinese Emergency Corpus 152 | 153 | - [dgk_lost_conv 中文对白语料](https://github.com/rustch3n/dgk_lost_conv) chinese conversation corpus 154 | 155 | - [用于训练中英文对话系统的语料库](https://github.com/candlewill/Dialog_Corpus) Datasets for Training Chatbot System 156 | 157 | - [八卦版問答中文語料](https://github.com/zake7749/Gossiping-Chinese-Corpus) 158 | 159 | - [漢語拆字字典](https://github.com/kfcd/chaizi) 160 | 161 | - [中国股市公告信息爬取](https://github.com/startprogress/China_stock_announcement) 通过python脚本从巨潮网络的服务器获取中国股市（sz,sh）的公告(上市公司和监管机构) 162 | 163 | - [tushare财经数据接口](http://tushare.org/) TuShare是一个免费、开源的python财经数据接口包。 164 | 165 | - [保险行业语料库](https://github.com/Samurais/insuranceqa-corpus-zh) [[52nlp介绍Blog](http://www.52nlp.cn/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%BF%9D%E9%99%A9%E8%A1%8C%E4%B8%9A%E9%97%AE%E7%AD%94%E5%BC%80%E6%94%BE%E6%95%B0%E6%8D%AE%E9%9B%86)] OpenData in insurance area for Machine Learning Tasks 166 | 167 | - [最全中华古诗词数据库](https://github.com/chinese-poetry/chinese-poetry) 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。 168 | 169 | - [DuReader中文阅读理解数据](http://ai.baidu.com/broad/subordinate?dataset=dureader) 170 | 171 | - [中文语料小数据](https://github.com/crownpku/Small-Chinese-Corpus) 包含了中文命名实体识别、中文关系识别、中文阅读理解等一些小量数据 172 | 173 | - [中文数据预处理材料](https://github.com/dongxiexidian/Chinese) 中文分词词典和中文停用词 174 | 175 | 176 | ## Organizations 相关中文NLP组织和会议 177 | 178 | - [中国中文信息学会](http://www.cipsc.org.cn/) 179 | 180 | - [NLP Conference Calender](http://cs.rochester.edu/~omidb/nlpcalendar/) Main conferences, journals, workshops and shared tasks in NLP community. 181 | 182 | 183 | ## Learning Materials 学习资料 184 | 185 | - [中文Deep Learning Book](https://github.com/exacity/deeplearningbook-chinese) 186 | 187 | - [Stanford CS224n Natural Language Processing with Deep Learning 2017](http://web.stanford.edu/class/cs224n/syllabus.html) 188 | 189 | - [Oxford CS DeepNLP 2017](https://github.com/oxford-cs-deepnlp-2017) 190 | 191 | - [Speech and Language Processing](https://web.stanford.edu/~jurafsky/slp3/) by Dan Jurafsky and James H. Martin 192 | 193 | - [52nlp 我爱自然语言处理](http://www.52nlp.cn/) 194 | 195 | - [hankcs 码农场](http://www.hankcs.com/) 196 | 197 | - [文本处理实践课资料](https://github.com/Roshanson/TextInfoExp) 文本处理实践课资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。 198 | 199 | 200 | -------------------------------------------------------------------------------- /contributing.md: -------------------------------------------------------------------------------- 1 | # Contribution Guidelines 2 | 3 | Please note that this project is released with a [Contributor Code of Conduct](code-of-conduct.md). By participating in this project you agree to abide by its terms. 4 | 5 | # The pull request should have a useful title. Pull requests with `Update readme.md` as title will be closed right away because I'm so tired of nobody reading this document. Please carefully read everything in `Adding to this list`. 6 | 7 | ## Table of Contents 8 | 9 | - [Adding to this list](#adding-to-this-list) 10 | - [Creating your own awesome list](#creating-your-own-awesome-list) 11 | - [Adding something to an awesome list](#adding-something-to-an-awesome-list) 12 | - [Updating your Pull Request](#updating-your-pull-request) 13 | 14 | ## Adding to this list 15 | 16 | Please ensure your pull request adheres to the following guidelines: 17 | 18 | - Search previous suggestions before making a new one, as yours may be a duplicate. 19 | - Make sure the list is useful before submitting. That implies it has enough content and every item has a good succinct description. 20 | - Make an individual pull request for each suggestion. 21 | - Use [title-casing](http://titlecapitalization.com) (AP style). 22 | - Use the following format: `[List Name](link)` 23 | - Link additions should be added to the bottom of the relevant category. 24 | - New categories or improvements to the existing categorization are welcome. 25 | - Check your spelling and grammar. 26 | - Make sure your text editor is set to remove trailing whitespace. 27 | - The pull request and commit should have a useful title. 28 | - The body of your commit message should contain a link to the repository. 29 | 30 | Thank you for your suggestions! 31 | 32 | ## Creating your own awesome list 33 | 34 | To create your own list, check out the [instructions](create-list.md). 35 | 36 | ## Adding something to an awesome list 37 | 38 | If you have something awesome to contribute to an awesome list, this is how you do it. 39 | 40 | You'll need a [GitHub account](https://github.com/join)! 41 | 42 | 1. Access the awesome list's GitHub page. For example: https://github.com/sindresorhus/awesome 43 | 2. Click on the `readme.md` file: ![Step 2 Click on Readme.md](https://cloud.githubusercontent.com/assets/170270/9402920/53a7e3ea-480c-11e5-9d81-aecf64be55eb.png) 44 | 3. Now click on the edit icon. ![Step 3 - Click on Edit](https://cloud.githubusercontent.com/assets/170270/9402927/6506af22-480c-11e5-8c18-7ea823530099.png) 45 | 4. You can start editing the text of the file in the in-browser editor. Make sure you follow guidelines above. You can use [GitHub Flavored Markdown](https://help.github.com/articles/github-flavored-markdown/). ![Step 4 - Edit the file](https://cloud.githubusercontent.com/assets/170270/9402932/7301c3a0-480c-11e5-81f5-7e343b71674f.png) 46 | 5. Say why you're proposing the changes, and then click on "Propose file change". ![Step 5 - Propose Changes](https://cloud.githubusercontent.com/assets/170270/9402937/7dd0652a-480c-11e5-9138-bd14244593d5.png) 47 | 6. Submit the [pull request](https://help.github.com/articles/using-pull-requests/)! 48 | 49 | ## Updating your Pull Request 50 | 51 | Sometimes, a maintainer of an awesome list will ask you to edit your Pull Request before it is included. This is normally due to spelling errors or because your PR didn't match the awesome-* list guidelines. 52 | 53 | [Here](https://github.com/RichardLitt/knowledge/blob/master/github/amending-a-commit-guide.md) is a write up on how to change a Pull Request, and the different ways you can do that. -------------------------------------------------------------------------------- /images/1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NLPchina/Awesome-Chinese-NLP/ea5ad15ead4f0a81305a8e4ee78dc2732d24f98e/images/1.jpg --------------------------------------------------------------------------------