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I recently discovered that the Turing Institute is supposed to become the
UK's national research laboratory for AI. I've also seen they are supporters
of FOSS. Perhaps people in that Institute (or others) could be convinced to
do some practical research projects in LibreOffice. They have interest in
natural language and other topics that apply:
https://www.turing.ac.uk/category/research/research-interests/

Someone told me there was hype around AI and that might be true, but neural
networks are giving better results in the most difficult tasks:
https://karpathy.github.io/2015/05/21/rnn-effectiveness/

Here's a history of ImageNet:
https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world/
It makes the point that good data is at the center of AI.

A deep lightproof could remain a small amount of code, but it needs curated
datasets to train on. It seems overkill for a grammar checker to use a
neural network. However, it could be worth thinking of a grammar checker as
a set of language rules compiled from a standard corpus.

Perhaps one decides to start by building something conventional using
http://www.nltk.org/ would be a great place to start. Python is becoming the
language of data science so LibreOffice is well positioned. Free software
like LibreOffice is a great way for researchers to test out ideas and help
millions of people.

Let's make sure LibreOffice and the free desktop stay relevant and
competitive!

Regards,

-Keith



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