Add BLLIP Parser to C++ and Python sections
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@ -125,6 +125,7 @@ For a list of free machine learning books available for download, go [here](http
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#### Natural Language Processing
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#### Natural Language Processing
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* [MIT Information Extraction Toolkit](https://github.com/mit-nlp/MITIE) - C, C++, and Python tools for named entity recognition and relation extraction
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* [MIT Information Extraction Toolkit](https://github.com/mit-nlp/MITIE) - C, C++, and Python tools for named entity recognition and relation extraction
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* [CRF++](http://crfpp.googlecode.com/svn/trunk/doc/index.html) - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks.
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* [CRF++](http://crfpp.googlecode.com/svn/trunk/doc/index.html) - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks.
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* [BLLIP Parser](http://github.com/BLLIP/bllip-parser) - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
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#### Speech Recognition
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#### Speech Recognition
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* [Kaldi](http://kaldi.sourceforge.net/) - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
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* [Kaldi](http://kaldi.sourceforge.net/) - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
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@ -527,6 +528,7 @@ on MNIST digits[DEEP LEARNING]
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* [genius](https://github.com/duanhongyi/genius) - A Chinese segment base on Conditional Random Field.
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* [genius](https://github.com/duanhongyi/genius) - A Chinese segment base on Conditional Random Field.
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* [nut](https://github.com/pprett/nut) - Natural language Understanding Toolkit
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* [nut](https://github.com/pprett/nut) - Natural language Understanding Toolkit
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* [Rosetta](https://github.com/columbia-applied-data-science/rosetta) - Text processing tools and wrappers (e.g. Vowpal Wabbit)
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* [Rosetta](https://github.com/columbia-applied-data-science/rosetta) - Text processing tools and wrappers (e.g. Vowpal Wabbit)
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* [BLLIP Parser](https://pypi.python.org/pypi/bllipparser/) - Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
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<a name="python-general-purpose" />
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<a name="python-general-purpose" />
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#### General-Purpose Machine Learning
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#### General-Purpose Machine Learning
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