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	https://github.com/lyj1998/NLP_Learning_Way#nlp_learning_way
	https://github.com/lyj1998/NLP_Learning_Way#nlp是什么
	https://github.com/lyj1998/NLP_Learning_Way#2课程推荐
	https://github.com/lyj1998/NLP_Learning_Way#cs224n-斯坦福深度自然语言处理课
https://www.bilibili.com/video/av41393758/?p=1	https://www.bilibili.com/video/av41393758/?p=1
http://www.hankcs.com/?s=CS224n%E7%AC%94%E8%AE%B0	http://www.hankcs.com/?s=CS224n%E7%AC%94%E8%AE%B0
http://web.stanford.edu/class/cs224n/	http://web.stanford.edu/class/cs224n/
	https://github.com/lyj1998/NLP_Learning_Way#自然语言处理---dan-jurafsky-和-chris-manning
https://www.bilibili.com/video/av35805262/	https://www.bilibili.com/video/av35805262/
	https://github.com/lyj1998/NLP_Learning_Way#学术激流网
http://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab	http://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab
	https://github.com/lyj1998/NLP_Learning_Way#3书籍推荐
	https://github.com/lyj1998/NLP_Learning_Way#python自然语言处理
Python_nlp_notes 【这是我《 Python 自然语言处理中文第二版》jupyter版笔记】	https://github.com/JackKuo666/Python_nlp_notes
	https://github.com/lyj1998/NLP_Learning_Way#自然语言处理综论
	https://github.com/lyj1998/NLP_Learning_Way#统计自然语言处理基础
	https://github.com/lyj1998/NLP_Learning_Way#4博客推荐
	https://github.com/lyj1998/NLP_Learning_Way#我爱自然语言处理
http://www.52nlp.cn/	http://www.52nlp.cn/
	https://github.com/lyj1998/NLP_Learning_Way#语言日志博客mark-liberman
http://languagelog.ldc.upenn.edu/nll/	http://languagelog.ldc.upenn.edu/nll/
	https://github.com/lyj1998/NLP_Learning_Way#natural-language-processing-blog
https://nlpers.blogspot.com/	https://nlpers.blogspot.com/
	https://github.com/lyj1998/NLP_Learning_Way#5项目推荐
https://github.com/S-H-Y-GitHub/QA	https://github.com/S-H-Y-GitHub/QA
https://github.com/karpathy/char-rnn	https://github.com/karpathy/char-rnn
https://github.com/phunterlau/wangfeng-rnn	https://github.com/phunterlau/wangfeng-rnn
https://github.com/skaae/lasagne-draw	https://github.com/skaae/lasagne-draw
	https://github.com/lyj1998/NLP_Learning_Way#6开源nlp工具包
	https://github.com/lyj1998/NLP_Learning_Way#中文nlp相关
https://github.com/crownpku/Awesome-Chinese-NLP	https://github.com/crownpku/Awesome-Chinese-NLP
	https://github.com/lyj1998/NLP_Learning_Way#英文nlp相关
http://www.nltk.org/	http://www.nltk.org/
http://textblob.readthedocs.org/en/dev/	http://textblob.readthedocs.org/en/dev/
http://radimrehurek.com/gensim/	http://radimrehurek.com/gensim/
http://www.clips.ua.ac.be/pattern	http://www.clips.ua.ac.be/pattern
http://spacy.io	http://spacy.io
http://orange.biolab.si/features/	http://orange.biolab.si/features/
https://github.com/proycon/pynlpl	https://github.com/proycon/pynlpl
	https://github.com/lyj1998/NLP_Learning_Way#7相关论文
https://github.com/mhagiwara/100-nlp-papers	https://github.com/mhagiwara/100-nlp-papers
	https://github.com/lyj1998/NLP_Learning_Way#8papers-with-code
	https://github.com/lyj1998/NLP_Learning_Way#papers-with-codebrowse-state-of-the-art
https://paperswithcode.com/sota	https://paperswithcode.com/sota
	https://github.com/lyj1998/NLP_Learning_Way#papers-with-codesorted-by-stars
https://github.com/zziz/pwc	https://github.com/zziz/pwc
	https://github.com/lyj1998/NLP_Learning_Way#9ai-算法工程师手册中文教程
http://www.huaxiaozhuan.com/	http://www.huaxiaozhuan.com/
	https://github.com/lyj1998/NLP_Learning_Way#1-数学基础
	https://github.com/lyj1998/NLP_Learning_Way#2-统计学习
	https://github.com/lyj1998/NLP_Learning_Way#3-深度学习
	https://github.com/lyj1998/NLP_Learning_Way#4-自然语言处理
	https://github.com/lyj1998/NLP_Learning_Way#5-工具
	https://github.com/lyj1998/NLP_Learning_Way#10自然语言处理nlp-专知荟萃
http://www.zhuanzhi.ai/topic/2001604244625713/awesome	http://www.zhuanzhi.ai/topic/2001604244625713/awesome
	https://github.com/lyj1998/NLP_Learning_Way#11其他学习资料
https://pan.baidu.com/s/1VrtAF5VzP5CpFTvDNz4g5g	https://pan.baidu.com/s/1VrtAF5VzP5CpFTvDNz4g5g
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https://github.com/mozilla/DeepSpeech	https://github.com/mozilla/DeepSpeech
https://github.com/atpaino/deep-text-corrector	https://github.com/atpaino/deep-text-corrector
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https://github.com/aritter/twitter_nlp	https://github.com/aritter/twitter_nlp
http://knowitall.cs.washington.edu/paralex/	http://knowitall.cs.washington.edu/paralex/
http://www.festvox.org/index.html	http://www.festvox.org/index.html
https://github.com/Steven-Hewitt/Entailment-with-Tensorflow	https://github.com/Steven-Hewitt/Entailment-with-Tensorflow
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https://github.com/Kyubyong/word_prediction	https://github.com/Kyubyong/word_prediction
https://github.com/chqiwang/convseg	https://github.com/chqiwang/convseg
https://github.com/Kyubyong/nlp_tasks#coreference-resolution	https://github.com/Kyubyong/nlp_tasks#coreference-resolution
https://www.kaggle.com/c/asap-aes	https://www.kaggle.com/c/asap-aes
http://spandh.dcs.shef.ac.uk/chime_challenge/	http://spandh.dcs.shef.ac.uk/chime_challenge/
https://www.nist.gov/itl/iad/mig/2015-language-recognition-evaluation	https://www.nist.gov/itl/iad/mig/2015-language-recognition-evaluation
https://www.kaggle.com/c/si650winter11#description	https://www.kaggle.com/c/si650winter11#description
http://kheafield.com/code/kenlm/	http://kheafield.com/code/kenlm/
http://www.nltk.org/api/nltk.stem.html#nltk.stem.wordnet.WordNetLemmatizer.lemmatize	http://www.nltk.org/api/nltk.stem.html#nltk.stem.wordnet.WordNetLemmatizer.lemmatize
https://nlp.stanford.edu/software/lex-parser.shtml	https://nlp.stanford.edu/software/lex-parser.shtml
https://spacy.io/docs/usage/dependency-parse	https://spacy.io/docs/usage/dependency-parse
http://www.nltk.org/api/nltk.tag.html	http://www.nltk.org/api/nltk.tag.html
http://cogcomp.org/page/software_view/SRL	http://cogcomp.org/page/software_view/SRL
http://www.nltk.org/_modules/nltk/tokenize.html	http://www.nltk.org/_modules/nltk/tokenize.html
https://github.com/CSTR-Edinburgh/merlin	https://github.com/CSTR-Edinburgh/merlin
http://www.nltk.org/howto/stem.html	http://www.nltk.org/howto/stem.html
https://radimrehurek.com/gensim/models/word2vec.html	https://radimrehurek.com/gensim/models/word2vec.html
https://github.com/facebookresearch/fastText	https://github.com/facebookresearch/fastText
https://nlp.stanford.edu/projects/glove/	https://nlp.stanford.edu/projects/glove/
https://nlp.stanford.edu/software/segmenter.html	https://nlp.stanford.edu/software/segmenter.html
http://www.nltk.org/_modules/nltk/tokenize.html	http://www.nltk.org/_modules/nltk/tokenize.html
	https://github.com/lyj1998/NLP_Learning_Way#其他
	https://github.com/lyj1998/NLP_Learning_Way#完成
https://www.jianshu.com/p/b87e01374a65	https://www.jianshu.com/p/b87e01374a65
https://www.jianshu.com/u/ba83fba00eef	https://www.jianshu.com/u/ba83fba00eef
完备的 AI 学习路线，最详细的资源整理！	https://mp.weixin.qq.com/s?__biz=MzU0OTU5OTI4MA==&mid=2247486493&idx=3&sn=c9f142f68774ff5103353f02aa6a7a45&chksm=fbac2d42ccdba454869bda2651740be06b634f5a073e49a25341879208b05d5a6eb19cc260b9&mpshare=1&scene=1&srcid=&pass_ticket=BT1lsAw9%2Bp9l5g2hmxfU%2BSDUA4rNYaDkNElT5fOXwcCnqD95iPPrdmgeEYXgI6iQ#rd
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