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@@ -57,7 +57,7 @@ Please feel free to [pull requests](https://github.com/keonkim/awesome-nlp/pulls
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*[Deep Learning for Natural Language Processing (2016 classes)](https://www.youtube.com/playlist?list=PLmImxx8Char9Ig0ZHSyTqGsdhb9weEGam) by Richard Socher. Updated to make use of Tensorflow. Note that there are some lectures missing (lecture 9, and lectures 12 onwards).
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*[Natural Language Processing](https://www.coursera.org/learn/nlangp) - course on Coursera that was only done in 2013. The videos are not available at the moment. Also Mike Collins is a great professor and his notes and lectures are very good.
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*[Statistical Machine Translation](http://mt-class.org) - a Machine Translation course with great assignments and slides.
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*[Natural Language Processing SFU](http://www.cs.sfu.ca/~anoop/teaching/CMPT-413-Spring-2014/) - course by [Prof Anoop Sarkar](https://www.cs.sfu.ca/~anoop/) on Natural Language Processing. Good notes and some good lectures on youtube about HMM.
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*[Natural Language Processing SFU - Link is broken](http://www.cs.sfu.ca/~anoop/teaching/CMPT-413-Spring-2014/) - course by [Prof Anoop Sarkar](https://www.cs.sfu.ca/~anoop/) on Natural Language Processing. Good notes and some good lectures on youtube about HMM.
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*[Udacity Deep Learning](https://classroom.udacity.com/courses/ud730) Deep Learning course on Udacity (using Tensorflow) which covers a section on using deep learning for NLP tasks (covering Word2Vec, RNN's and LSTMs).
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*[NLTK with Python 3 for Natural Language Processing](https://www.youtube.com/playlist?list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL) by Harrison Kinsley(sentdex). Good tutorials with NLTK code implementation.
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