AI Powered Programming Language Translation

This paper explores the integration of Natural Language Processing (NLP) techniques with programming language translation systems to provide enhanced support for software developers. The research focuses on how NLP can be used to bridge the gap between human-readable descriptions, such as comments, documentation, or pseudocode, and executable code in various programming languages. By leveraging NLP, the paper aims to demonstrate how developers can be better supported in writing, understanding, and translating code, leading to improved productivity and code quality. The study evaluates existing tools and proposes new methodologies for combining NLP with code translation, presenting case studies and experimental results to validate the approach.