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Please feel free to [pull requests](https://github.com/keonkim/awesome-nlp/pulls), email Martin Park ([email protected])/Keon Kim ([email protected]) to add links.
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## Tutorials and Courses
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* Tensor Flow Tutorial on [Seq2Seq](http://www.tensorflow.org/tutorials/seq2seq/index.html) Models
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* Tensor Flow Tutorial on [Seq2Seq](https://www.tensorflow.org/tutorials/seq2seq/index.html) Models
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* Natural Language Understanding with Distributed Representation [Lecture Note](https://github.com/nyu-dl/NLP_DL_Lecture_Note) by Cho
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### videos
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### Implementations
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*[Pre-trained word embeddings for WSJ corpus](https://github.com/ai-ku/wvec) by Koc AI-Lab
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*[Word2vec](https://code.google.com/p/word2vec/) by Mikolov
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*[Word2vec](https://code.google.com/archive/p/word2vec) by Mikolov
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*[HLBL language model](http://metaoptimize.com/projects/wordreprs/) by Turian
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*[Real-valued vector "embeddings"](http://www.cis.upenn.edu/~ungar/eigenwords/) by Dhillon
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*[Improving Word Representations Via Global Context And Multiple Word Prototypes](http://www.socher.org/index.php/Main/ImprovingWordRepresentationsViaGlobalContextAndMultipleWordPrototypes) by Huang
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*[Twitter-text](https://github.com/twitter/twitter-text) - A JavaScript implementation of Twitter's text processing library
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*[Knwl.js](https://github.com/loadfive/Knwl.js) - A Natural Language Processor in JS
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*[Retext](https://github.com/wooorm/retext) - Extensible system for analyzing and manipulating natural language
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*[NLP Compromise](https://github.com/spencermountain/nlp_compromise) - Natural Language processing in the browser
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*[NLP Compromise](https://github.com/nlp-compromise/nlp_compromise) - Natural Language processing in the browser
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*[Natural](https://github.com/NaturalNode/natural) - general natural language facilities for node
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*[python-frog](https://github.com/proycon/python-frog) - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
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*[python-zpar](https://github.com/EducationalTestingService/python-zpar) - Python bindings for [ZPar](https://github.com/frcchang/zpar), a statistical part-of-speech-tagger, constiuency parser, and dependency parser for English.
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*[colibri-core](https://github.com/proycon/colibri-core) - Python binding to C++ library for extracting and working with with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
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*[spaCy](https://github.com/honnibal/spaCy/) - Industrial strength NLP with Python and Cython.
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*[spaCy](https://github.com/spacy-io/spaCy) - Industrial strength NLP with Python and Cython.
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*[PyStanfordDependencies](https://github.com/dmcc/PyStanfordDependencies) - Python interface for converting Penn Treebank trees to Stanford Dependencies.
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* <aid="c++">**C++** - C++ Libraries</a>
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*[CRFsuite](http://www.chokkan.org/software/crfsuite/) - CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data.
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*[BLLIP Parser](https://github.com/BLLIP/bllip-parser) - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
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*[colibri-core](https://github.com/proycon/colibri-core) - C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
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*[ucto](https://github.com/proycon/ucto) - Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.
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*[libfolia](https://github.com/proycon/libfolia) - C++ library for the [FoLiA format](http://proycon.github.io/folia/)
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*[frog](https://github.com/proycon/frog) - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
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*[ucto](https://github.com/LanguageMachines/ucto) - Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.
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*[libfolia](https://github.com/LanguageMachines/libfolia) - C++ library for the [FoLiA format](http://proycon.github.io/folia/)
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*[frog](https://github.com/LanguageMachines/frog) - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
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*[MeTA](https://github.com/meta-toolkit/meta) - [MeTA : ModErn Text Analysis](https://meta-toolkit.org/) is a C++ Data Sciences Toolkit that facilitates mining big text data.
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