Natural language processing

来自开放百科 - 灰狐
(版本间的差异)
跳转到: 导航, 搜索
(链接)
 
(未显示1个用户的49个中间版本)
第2行: 第2行:
  
 
Natural language processing(简称NLP) 自然语言处理是人工智能和语言学领域的分支学科。
 
Natural language processing(简称NLP) 自然语言处理是人工智能和语言学领域的分支学科。
 +
 +
==简介==
 +
[[deep learning|Deep Learning]] is becoming hot in Natural Language Processing
 +
 +
==项目==
 +
[[文件:gate-logo.png|right|Gate]]
 +
*[https://github.com/edobashira/speech-language-processing Speech and Natural Language Processing] [[image:awesome.png]]
 +
*[https://nlpprogress.com/ NLP-progress] Tracking Progress in Natural Language Processing
 +
*[https://github.com/huggingface/transformers Transformers] 为 Jax、[[PyTorch]] 和 [[TensorFlow]] 打造的先进的自然语言处理,提供了数以千计的预训练模型,支持 100 多种语言的文本分类、信息抽取、问答、摘要、翻译、文本生成。它的宗旨让最先进的 NLP 技术人人易用。
 +
*[https://aclweb.org/aclwiki/Tools_and_Software_for_English Software for Computational Linguistics and Natural Language Processing]
 +
*[https://github.com/RaRe-Technologies/gensim gensim] Topic Modelling for Humans
 +
*[https://github.com/facebookresearch/fastText fastText]
 +
*[https://github.com/facebookresearch/DrQA DrQA] Reading Wikipedia to Answer Open-Domain Questions 
 +
*[[Apache UIMA]]
 +
*[[DeepDive]]
 +
*[https://github.com/deepmipt/DeepPavlov DeepPavlov]
 +
*[[Apache OpenNLP]]
 +
*[[ScalaNLP]]
 +
*[[Natural Language Toolkit]]
 +
*[[Haskell]] [https://wiki.haskell.org/Applications_and_libraries/Linguistics Computational Linguistics(计算语言学)]
 +
*[http://nlp.stanford.edu/ Stanford NLP Group], [http://nlp.stanford.edu/projects/chinese-nlp.shtml 斯坦福大学自然语言处理工具]
 +
*[https://github.com/stanfordnlp Stanford NLP @ GitHub]
 +
*[https://github.com/NLPchina NLPChina: 中国自然语言处理开源组织]
 +
*[https://gate.ac.uk/ GATE] a full-lifecycle open source solution for text processing
 +
*[https://github.com/thunlp THUNLP] Natural Language Processing Lab at Tsinghua University
 +
*[https://github.com/HIT-SCIR/ltp 哈工大 LTP(Language Technology Platform)]
 +
*[https://github.com/languagetool-org LanguageTool] 是一款开源(LGPL)多语言语法、风格和拼写检查器
 +
 +
==NLU & Bot==
 +
*[https://github.com/SciSharp/BotSharp BotSharp] Conversation as a platform (CaaP) is the future.
 +
*[https://github.com/Microsoft/BotBuilder Microsoft Bot Builder]
 +
*[https://github.com/gunthercox/ChatterBot ChatterBot] [[Python]]驱动
 +
*[https://github.com/botpress/botpress Botpress] The open-source bot platform, [[TypeScript]]和[[JavaScript]]驱动
 +
*[https://github.com/Urinx/WeixinBot WeixinBot] 网页版微信API,包含终端版微信及微信机器人
 +
 +
==机器翻译==
 +
[[Machine translation]]
 +
 +
==开放数据==
 +
*[https://ai.tencent.com/ailab/nlp/embedding.html 腾讯AI Lab开源大规模高质量800万中文词向量数据]
 +
 +
==文档==
 +
*[https://aclweb.org/aclwiki/Best_paper_awards ACL,NAACL,EMNLP,IJCNLP Best paper awards]
 +
*[http://docs.huihoo.com/deep-learning/Deep-Learning-for-Natural-Language-Processing-CCF-ADL-20160529.pdf Deep Learning for Natural Language Processing]
 +
*[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/NLP-and-Deep-Learning-1-Human-Language-and-Word-Vectors.pdf NLP and Deep Learning 1: Human Language & Word Vectors]
 +
*[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/NLP-and-Deep-Learning-2-Compositonal-Deep-Learning.pdf NLP and Deep Learning 2: Compositonal Deep Learning]
 +
*[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/Deep-NLP-Recurrent-Neural-Networks.pdf Deep NLP Recurrent Neural Networks]
 +
*[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/Memory-Reading-and-Comprehension.pdf Memory, Reading, and Comprehension]
 +
*[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/Deep-NLP-Applications-and-Dynamic-Memory-Networks.pdf Deep NLP Applications and Dynamic Memory Networks]
 +
 +
==图书==
 +
*[http://www.nltk.org/book/ 《Natural Language Processing with Python》]
 +
 +
==图集==
 +
<gallery>
 +
image:NLU-NLP-ASR.png|NLU,NLP,ASR
 +
image:drqa.png|DrQA
 +
image:difference-between-classical-nlp-deep-learning-nlp.png|传统NLP和深度学习NLP
 +
image:future-applications-of-nlp.png|NLP应用
 +
image:nlp-nlu-engineer-skill-tree.png|技能树
 +
image:AnyQ-Framework.png|AnyQ问答系统框架
 +
image:gate-apis.png|Gate
 +
image:ltp-framework.png|LTP
 +
</gallery>
  
 
==链接==
 
==链接==
 +
*[https://www.aclweb.org Association for Computational Linguistics]
 +
*[https://www.xenonstack.com/blog/overview-of-artificial-intelligence-and-role-of-natural-language-processing-in-big-data Overview of Artificial Intelligence and Role of Natural Language Processing in Big Data]
 +
*[http://www.infoq.com/cn/articles/predicting-movie-ratings-nlp 预测电影评级:NLP正是电影公司所需要的]
 
*[http://www.52nlp.cn/?p=8339 斯坦福大学深度学习与自然语言处理第一讲:引言]
 
*[http://www.52nlp.cn/?p=8339 斯坦福大学深度学习与自然语言处理第一讲:引言]
 
*[http://www.52nlp.cn/?p=8438 斯坦福大学深度学习与自然语言处理第二讲:词向量]
 
*[http://www.52nlp.cn/?p=8438 斯坦福大学深度学习与自然语言处理第二讲:词向量]
 
*[http://www.52nlp.cn/?p=8546 斯坦福大学深度学习与自然语言处理第三讲:高级的词向量表示]
 
*[http://www.52nlp.cn/?p=8546 斯坦福大学深度学习与自然语言处理第三讲:高级的词向量表示]
 +
*[http://www.52nlp.cn/?p=6932 用MeCab打造一套实用的中文分词系统(一)]
 +
*[http://www.52nlp.cn/?p=8262 用MeCab打造一套实用的中文分词系统(二)]
 +
*[http://www.52nlp.cn/?p=8278 用MeCab打造一套实用的中文分词系统(三):MeCab-Chinese]
 +
*[http://www.52nlp.cn/?p=8660 用MeCab打造一套实用的中文分词系统(四):MeCab增量更新]
 +
*[http://blog.csdn.net/u010454729 无限大地NLP_空木的专栏,研究自然语言处理、机器学习、信息抽取等方向]
 +
*[http://www.thunlp.org/ 清华大学自然语言处理与社会人文计算实验室]
 +
*[https://www.jiqizhixin.com/articles/2018-12-19-17 一文详解维基百科的开放性问答系统]
  
 +
[[category:computational linguistics]]
 
[[category:natural language processing]]
 
[[category:natural language processing]]
 +
[[category:speech recognition]]
 +
[[category:artificial intelligence]]
 +
[[category:computer science]]

2022年8月9日 (二) 10:11的最后版本

Wikipedia-35x35.png 您可以在Wikipedia上了解到此条目的英文信息 Natural language processing Thanks, Wikipedia.

Natural language processing(简称NLP) 自然语言处理是人工智能和语言学领域的分支学科。

目录

[编辑] 简介

Deep Learning is becoming hot in Natural Language Processing

[编辑] 项目

Gate

[编辑] NLU & Bot

[编辑] 机器翻译

Machine translation

[编辑] 开放数据

[编辑] 文档

[编辑] 图书

[编辑] 图集

[编辑] 链接

分享您的观点
个人工具
名字空间

变换
操作
导航
工具箱