I think worth to try java or c as well

why not define an easy to use pseudocode language and translate it

To work with something with so much regular, rigid structure via a neural net you'd need a crapton of training. You'd need to have layers that mimic the stages of a compiler. You'd need to give the thing a lot of working memory for parsing, etc. so you'd have to use an RNN (or, as an optimization, an LSTM), and a large one, which only increases the training complexity and time.

This is what grammars were made for. But if you use a grammar you need to specify a definite syntax for your pseudocode. In which case you end up with Python :p

There is such a thing... It called python hahaha ok sounds like a cool idea.

if this is possible then developers don't need to learn languages they just put pseudocode their and converted into the code by neural n/w🤔🤔

Isn't Lua kind of that already?

So you want to write a compiler for pseudocode?

Seems kind of pointless as it defeats the point of it being pseudo code.

read something similar!

https://blog.floydhub.com/turning-d...

This is basically just a transpiler from a pseudocode-like DSL to whatever other language you want it to end up going to.

Loads of ways to approach this. 👍

@Brolls finally some optimism!

Do you mean converting it into an actual code or executing pseudocode to work normally?

I like it, if nothing else because it could be a cool tool for improving the correction of tasks in logic courses or doing quick testing (e.g. a recursive solution to some problem)