quantleaf-language-documentation VS monkey-c-monkey-do

See https://github.com/quantleaf/quantleaf-language-documentation/tree/master/examples for Swedish and English code examples.

Hey! I am involved in a project where I am trying to create a programming language that uses machine learning to compile text as computer code, some info here (https://github.com/quantleaf/quantleaf-language-documentation). This is not yet open source as a whole, but I am currently in the process of doing so. The first subproject to be released is a search engine library that enables you to score documents with a value between 0 and 1 (I call it “zero-to-one” score). In short, this is done by evaluating the product of how close we are to a perfect match regarding document length and query length, but also in terms of the amount of tokens, in the document and in the query.

I am working on a natural language programming language! Will soon post a launch announcement on this subreddit. I currently call it the Quantleaf Language.Here is a small a small introduction to the syntax which will be available!

There is https://github.com/dannyvankooten/monkey-c-monkey-do, although I don't know how complete is it

Started working on my bytecode compiler & VM for Monkey (highly recommend the books btw, explained a lot of magic to me) again to see if I can squeeze some more performance gains out of it and get it ready to use it to solve next year's Advent of Code in it.