Exploring Code Style Transfer with Neural Networks. (arXiv:2209.06273v1 [cs.CL])

Style is a significant component of natural language text, reflecting a
change in the tone of text while keeping the underlying information the same.
Even though programming languages have strict syntax rules, they also have
style. Code can be written with the same functionality but using different
language features. However, programming style is difficult to quantify, and
thus as part of this work, we define style attributes, specifically for Python.
To build a definition of style, we utilized hierarchical clustering …

arxiv code networks neural networks style transfer transfer