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] | ||
| + | * [[Data Augmentation#Auto-tagging|Auto-tagging]] | ||
* [http://github.com/THUNLP-MT Machine Translation reading list & open-source toolkits | Tsinghua Natural Language Processing Group] | * [http://github.com/THUNLP-MT Machine Translation reading list & open-source toolkits | Tsinghua Natural Language Processing Group] | ||
* [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] | ||
Revision as of 21:19, 21 August 2019
Youtube search... ...Google search
- Natural Language Processing (NLP)
- NLP Tools | Wikipedia
- Auto-tagging
- Machine Translation reading list & open-source toolkits | Tsinghua Natural Language Processing Group
- Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources | Chris Manning - Stanford
- Software Packages | Cognitive Computation Group, led by Prof. Dan Roth
- PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM | gitHub
- NLP Tool Finder | NIH University of Utah DBMI
- API-based Services
- Natural Language Processing and Machine Learning in JavaScript | David Luecke - Medium
- Top 22 NLP (Natural Language Processing) APIs for Developers in 2018 | RapidAPI
- Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review | K. Kreimeyera, M. Foster, A. Pandeya, N. Aryaa, G. Halford, S. Jones, R. Forsheea, M. Walderhauga, and T. Botsisa - Journal of Biomedical Informatics 71 natural language processing systems
Capability with Javascript
- TensorFlow.js for training and deploying ML models in the browser and on Node.js (was called Deeplearnjs)
- Keras.js No longer active - capability now is in TensorFlow.js
- NLP.js NLP Manager: a tool able to manage several languages (nodejs)
- Compromise modest natural-language processing (NLP) interprets and pre-parses English and makes some reasonable decisions
- Natural provides tokenizing, stemming (reducing a word to a not-necessarily morphological root), classification, phonetics, tf-idf, WordNet, string similarity, some inflections, and more. (nodejs)
Capability (other)
- TensorFlow
- Google Natural Language
- Cloud Speech-to-Text | Google
- flair use pretrained BERT (PyTorch)
- CoreNLP | Stanford (Python)
- Natural Language Toolkit (NLTK) (Python)
- Apache OpenNLP
- fastText | Facebook's AI Research representations and text classifiers (Python)
- MALLET a Java-based package
- Intel NLP Architect (Python)
- SpaCy (Python and Cython)
- scikit-learn NLP toolkit
- Gensim fast Vector Space Modelling, Topic Modeling, LDA implementation (Python)
- AllenNLP an Apache NLP research library (PyTorch)
- Matlab
- Sintelix
- H2O Driveless AI
- Textract | Amazon in the Elastic Stack Architecture
- Comprehend | Amazon
- Transcribe | Amazon
- Amazon Polly | Amazon
- Azure Cognitive Services | Microsoft
- Azure Bing Speech API | Microsoft
- Dandelion API
- VoxSigma API
- Speech Recognition |Twilio
- Automatic Speech Recognition (ASR) | Speechmatics
- Voice API | Nexmo
- wit.ai
- Meaning Cloud
- Haven OnDemand
- Aylien
- Lexalytics
- Dialogflow
- Indico
- TextRazor
- Intellexer
- Meaning Cloud
- LSTM and QRNN Language Model Toolkit for PyTorch | GitHub
- Thematically Discover
- Pattern (Python)
- Polyglot
- Speech to Text | IBM
- Text to Speech | IBM
- Watson Natural Language Understanding | IBM
