quantleaf-language-documentation VS aulang

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!

Apart from the language I also built a simple website for Aument, a JSON parser in Aument and incomplete bindings for libuv.

Since last month, I've added a lot of changes to my programming language, now named Aument, namely classes, method dispatching and the module system.

I've been lurking here for a while, but never actually created a Reddit account. So, as a first post, hi! This month I'm working on aulang, it aims to be a portable and embeddable dynamic scripting language like Python or Lua. It is prepreprepreprepre alpha so don't expect it to be that amazing, but it has the bare minimum features and the language can even be compiled to native code through C (currently only works on Linux).