• Parsey and SyntaxNet
  • Google Research Blog
  • Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source
  • Meet Parsey’s Cousins: Syntax for 40 languages, plus new SyntaxNet capabilities

https://research.googleblog.com/2017/01/a-large-corpus-for-supervised-word.html

• Question answering
  • GitHub - brmson/yodaqa: A Question Answering system built on top of the Apache UIMA framework.
  • openQA - Open Question Answering Framework
  • Quepy: A Python framework to transform natural language questions to queries.
  • GitHub - bwbaugh/causeofwhy: The goal of this project is to implement a Question Answering (QA) system that answers causal type questions. We use Wikipedia as a knowledge base, extracting answers to user questions from the articles.

SVG

You can embed text strings in multiple languages inside of SVG. It can be made to display the one used by the system.

Example: https://commons.wikimedia.org/wiki/File:SystemLanguage.svg.

I was looking into this because this diagram on Wikipedia was using the German "pyruvat" instead of the English "pyruvate" https://en.wikipedia.org/wiki/File:Phosphotransferase_system.svg via https://en.wikipedia.org/wiki/PEP_group_translocation.

Libraries

• NLTK
• spaCy
• Stanford CoreNLP
• GATE

Dictionaries

• https://en.wikipedia.org/wiki/FreeDict
• https://en.wikipedia.org/wiki/Text_Encoding_Initiative
• https://en.wikipedia.org/wiki/DICT