LLMs as Compiler for Arabic Programming Language

Fuente: arXiv
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Main Authors: Sibaee, Serry, Najar, Omar, Ghouti, Lahouri, Koubaa, Anis
Format: Preprint
Published: 2024
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author Sibaee, Serry
Najar, Omar
Ghouti, Lahouri
Koubaa, Anis
author_facet Sibaee, Serry
Najar, Omar
Ghouti, Lahouri
Koubaa, Anis
contents In this paper we introduce APL (Arabic Programming Language) that uses Large language models (LLM) as semi-compiler to covert Arabic text code to python code then run the code. Designing a full pipeline from the structure of the APL text then a prompt (using prompt engineering) then running the prodcued python code using PyRunner. This project has a three parts first python library, a playground with simple interface and this research paper.
format Preprint
id arxiv_https___arxiv_org_abs_2403_16087
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LLMs as Compiler for Arabic Programming Language
Sibaee, Serry
Najar, Omar
Ghouti, Lahouri
Koubaa, Anis
Software Engineering
Computation and Language
Machine Learning
In this paper we introduce APL (Arabic Programming Language) that uses Large language models (LLM) as semi-compiler to covert Arabic text code to python code then run the code. Designing a full pipeline from the structure of the APL text then a prompt (using prompt engineering) then running the prodcued python code using PyRunner. This project has a three parts first python library, a playground with simple interface and this research paper.
title LLMs as Compiler for Arabic Programming Language
topic Software Engineering
Computation and Language
Machine Learning
url https://arxiv.org/abs/2403.16087