Kevin Trinh - 2023
Files
Publication Date
11-10-2023
Digital Publisher
Digital Commons at St. Mary's University
Collection
McNair Scholars Symposium
Keywords
Language processing, Custom language, Parser, Lexer, Semantic Analyzer, Virtual machine
Description
This paper presents a Python-based toolset for translating custom language code into assembly language for a virtual machine. The toolset includes a lexer module for tokenizing the code, a parser module for generating an abstract syntax tree (AST), and a compiler or semantic analyzer module for translating the AST into assembly language instructions. The research focuses on the design and implementation of these components, utilizing top-down recursive parsing. Extensive testing ensures accurate translation and execution of custom language code. The toolset's flexibility enables future enhancements and support for diverse virtual machine architectures. The results demonstrate successful translation, highlighting the power and versatility of the developed toolset. This research advances language processing and compiler design, facilitating the seamless execution of domain-specific languages on virtual hardware platforms.
Disciplines
Higher Education
Format
MOV
Medium
video
City
San Antonio, Texas
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
