Difference between revisions of "Natural Language Tools & Services"

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(Capability (other))
(Capability (other))
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** [http://azure.microsoft.com/en-us/services/cognitive-services/ Azure Cognitive Services | Microsoft]
 
** [http://azure.microsoft.com/en-us/services/cognitive-services/ Azure Cognitive Services | Microsoft]
 
** [http://azure.microsoft.com/en-us/services/cognitive-services/speech-services/ Azure Bing Speech API | Microsoft]
 
** [http://azure.microsoft.com/en-us/services/cognitive-services/speech-services/ Azure Bing Speech API | Microsoft]
* [http://github.com/zalandoresearch/flair flair] use pretrained BERT (PyTorch)
 
 
* [http://stanfordnlp.github.io/CoreNLP/ CoreNLP | Stanford] The Stanford Natural Language Processing Group Toolkit ([[Python]])
 
* [http://stanfordnlp.github.io/CoreNLP/ CoreNLP | Stanford] The Stanford Natural Language Processing Group Toolkit ([[Python]])
 
* [[Natural Language Toolkit (NLTK)]] ([[Python]]) implements classification, tokenization, stemming, tagging, parsing, and semantic reasoning
 
* [[Natural Language Toolkit (NLTK)]] ([[Python]]) implements classification, tokenization, stemming, tagging, parsing, and semantic reasoning
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* [http://www.intel.ai/nlp-architect-by-intel-ai-lab-release-0-2/ Intel NLP Architect] ([[Python]])
 
* [http://www.intel.ai/nlp-architect-by-intel-ai-lab-release-0-2/ Intel NLP Architect] ([[Python]])
 
* [[Gensim]] fast Vector Space Modelling, Topic Modeling, LDA implementation ([[Python]])
 
* [[Gensim]] fast Vector Space Modelling, Topic Modeling, LDA implementation ([[Python]])
 +
* [http://github.com/zalandoresearch/flair flair] use pretrained BERT (PyTorch)
 
* [http://allennlp.org/ AllenNLP] an Apache NLP research library (PyTorch)
 
* [http://allennlp.org/ AllenNLP] an Apache NLP research library (PyTorch)
 +
* [http://pytorchnlp.readthedocs.io/en/latest/ Pytorch-NLP] (PyTorch)
 
* [[Matlab]]
 
* [[Matlab]]
 
* [[Sintelix]]
 
* [[Sintelix]]

Revision as of 15:01, 27 December 2019

Youtube search... ...Google search

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    • Keras.js No longer active - capability now is in TensorFlow.js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)

Text Labeling
  • Bella open tool aimed at simplifying and speeding up text data labeling. Usually, if a dataset was labeled in a CSV file or Google spreadsheets, specialists need to convert it to an appropriate format before model training. Bella’s features and simple interface make it a good substitution to spreadsheets and CSV files. A graphical user interface (GUI) and a database backend for managing labeled data are Bella’s main features.
  • Tagtog choose three approaches: annotate text manually, hire a team that will label data for them, or use machine learning models for automated annotation.
  • Dataturks provides training data preparation tools. Using its products, teams can perform such tasks as parts-of-speech tagging, named-entity recognition tagging, text classification, moderation, and summarization.
  • Brat rapid annotation tool] a web-based tool for text annotation; that is, for adding notes to existing text documents, designed in particular for structured annotation, where the notes are not freeform text but have a fixed form that can be automatically processed and interpreted by a computer.
  • Yedda a lightweight Collaborative Text Span Annotation Tool developed for annotating chunk/entity/event on text (almost all languages including English, Chinese), symbol and even emoji.