Courses

Introduction to Natural Language Processing

• coursera: https://www.coursera.org/learn/natural-language-processing

Projects

Automatic text summarizer: Module for automatic summarization of text documents and HTML pages

• homepage: https://pypi.python.org/pypi/sumy
• github: https://github.com/miso-belica/sumy

textacy: higher-level NLP built on spaCy

• github: https://github.com/chartbeat-labs/textacy
• docs: http://textacy.readthedocs.io/en/latest/

Word2Vec in C++ 11

• github: https://github.com/jdeng/word2vec

Stanford NLP

Stanford NLP

• homepage: http://nlp.stanford.edu/software/

Stanford CoreNLP – a suite of core NLP tools

• homepage: http://stanfordnlp.github.io/CoreNLP/index.html

Head First Stanford NLP

• (1): http://hujiaweibujidao.github.io/blog/2016/03/30/Stanford-NLP/
• (2): http://hujiaweibujidao.github.io/blog/2016/03/31/Head-First-Standford-NLP-2/
• (3): http://hujiaweibujidao.github.io/blog/2016/03/31/Head-First-Standford-NLP-3/
• (4): http://hujiaweibujidao.github.io/blog/2016/04/01/Head-First-Standford-NLP-4/

Thinc: Practical Machine Learning for NLP in Python

• intro: spaCy’s Machine Learning library for NLP in Python
• github: https://github.com/explosion/thinc

Blogs

Natural Language Understanding by Matching Parse Trees

• blog: http://blog.ayoungprogrammer.com/2016/07/natural-language-understanding-by.html/

A Tutorial about Programming for Natural Language Processing

• github: https://github.com/neubig/nlptutorial

Resources

awesome-nlp: A curated list of resources dedicated to Natural Language Processing (NLP)

• github: https://github.com/keonkim/awesome-nlp

A curated list of beginner resources in Natural Language Processing

• github: https://github.com/gutfeeling/beginner_nlp