Difference between revisions of "Natural Language Tools & Services"

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* [[Natural Language Processing (NLP)]]
 
* [[Natural Language Processing (NLP)]]
 
 
* [http://en.wikipedia.org/wiki/Outline_of_natural_language_processing#Natural_language_processing_tools NLP Tools | Wikipedia]  
 
* [http://en.wikipedia.org/wiki/Outline_of_natural_language_processing#Natural_language_processing_tools NLP Tools | Wikipedia]  
 
* [http://nlp.stanford.edu/links/statnlp.html Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources | Chris Manning - Stanford]
 
* [http://nlp.stanford.edu/links/statnlp.html Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources | Chris Manning - Stanford]
* [[Natural Language Toolkit (NLTK)]]
 
* [[H2O]] Driveless AI
 
 
* [http://github.com/NaturalNode/natural NaturalNode]  Node.js
 
* [http://github.com/NaturalNode/natural NaturalNode]  Node.js
* [[SpaCy]] Python Library
 
* [[Matlab]]
 
* [[Sintelix]]
 
* [http://www.thematically.com Thematically Discover]
 
* [http://www.ibm.com/watson/services/natural-language-understanding/  Watson Natural Language Understanding | IBM]
 
* [http://indico.io/ Indico]
 
* [http://www.textrazor.com/ TextRazor]
 
* [http://www.intellexer.com/products.html Intellexer]
 
* [http://www.meaningcloud.com/ Meaning Cloud]
 
 
* [http://cogcomp.org/page/software/ Software Packages | Cognitive Computation Group, led by Prof. Dan Roth]
 
* [http://cogcomp.org/page/software/ Software Packages | Cognitive Computation Group, led by Prof. Dan Roth]
* [http://github.com/salesforce/awd-lstm-lm LSTM and QRNN Language Model Toolkit for PyTorch | GitHub]
 
 
* [http://github.com/salesforce/pytorch-qrnn PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM | gitHub]
 
* [http://github.com/salesforce/pytorch-qrnn PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM | gitHub]
* [http://www.kdnuggets.com/2018/12/activewizards-comparison-speech-processing-apis.html API-based:]
+
* [http://www.kdnuggets.com/2018/12/activewizards-comparison-speech-processing-apis.html API-based Services]
 +
* Capability:
 +
** [[Natural Language Toolkit (NLTK)]]
 +
** [[H2O]] Driveless AI
 
** [http://cloud.google.com/natural-language/ Cloud Natural Language (NL) | Google]
 
** [http://cloud.google.com/natural-language/ Cloud Natural Language (NL) | Google]
 
** [http://cloud.google.com/speech-to-text/ Cloud Speech-to-Text  | Google]
 
** [http://cloud.google.com/speech-to-text/ Cloud Speech-to-Text  | Google]
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** [http://www.lexalytics.com/ Lexalytics]
 
** [http://www.lexalytics.com/ Lexalytics]
 
** [http://dialogflow.com/ Dialogflow]
 
** [http://dialogflow.com/ Dialogflow]
 +
** [[SpaCy]] Python Library
 +
** [[Matlab]]
 +
** [[Sintelix]]
 +
** [http://www.ibm.com/watson/services/natural-language-understanding/  Watson Natural Language Understanding | IBM]
 +
** [http://indico.io/ Indico]
 +
** [http://www.textrazor.com/ TextRazor]
 +
** [http://www.intellexer.com/products.html Intellexer]
 +
** [http://www.meaningcloud.com/ Meaning Cloud]
 +
** [http://github.com/salesforce/awd-lstm-lm LSTM and QRNN Language Model Toolkit for PyTorch | GitHub]
 +
** [http://www.thematically.com Thematically Discover]
  
 
<youtube>Y2wgQjxrPD8</youtube>
 
<youtube>Y2wgQjxrPD8</youtube>

Revision as of 22:03, 5 April 2019