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Natural language processing
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{{SeeWikipedia}} | {{SeeWikipedia}} | ||
| − | Natural language processing | + | 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。 |
| + | |||
| + | ==项目== | ||
| + | *[https://github.com/edobashira/speech-language-processing Speech and Natural Language Processing] [[image:awesome.png]] | ||
| + | *[[Apache UIMA]] | ||
| + | *[[DeepDive]] | ||
| + | *[[Apache OpenNLP]] | ||
| + | *[[ScalaNLP]] | ||
| + | *[[Natural Language Toolkit]] | ||
| + | *[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] | ||
| + | |||
| + | ==文档== | ||
| + | *[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》] | ||
| + | |||
| + | ==链接== | ||
| + | *[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=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] | ||
[[category:natural language processing]] | [[category:natural language processing]] | ||
| + | [[category:speech recognition]] | ||
| + | [[category:python]] | ||
2016年5月30日 (一) 01:25的版本
|
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 |
项目
- Speech and Natural Language Processing
- Apache UIMA
- DeepDive
- Apache OpenNLP
- ScalaNLP
- Natural Language Toolkit
- Stanford NLP Group, 斯坦福大学自然语言处理工具
- Stanford NLP @ GitHub
- NLPChina: 中国自然语言处理开源组织
文档
- Deep Learning for Natural Language Processing
- NLP and Deep Learning 1: Human Language & Word Vectors
- NLP and Deep Learning 2: Compositonal Deep Learning
- Deep NLP Recurrent Neural Networks
- Memory, Reading, and Comprehension
- Deep NLP Applications and Dynamic Memory Networks
图书
链接
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