Fault detection system for Arabic language

TL;DR

This paper presents a fault detection system tailored for Arabic language processing, addressing unique morphological and syntactic challenges to improve natural language processing tools for Arabic.

Contribution

The study introduces a novel fault detection approach specifically designed for Arabic language processing, considering its complex linguistic properties.

Findings

Enhanced detection accuracy for Arabic language faults

Improved processing tools for Arabic text analysis

Addressed morphological and syntactic challenges

Abstract

The study of natural language, especially Arabic, and mechanisms for the implementation of automatic processing is a fascinating field of study, with various potential applications. The importance of tools for natural language processing is materialized by the need to have applications that can effectively treat the vast mass of information available nowadays on electronic forms. Among these tools, mainly driven by the necessity of a fast writing in alignment to the actual daily life speed, our interest is on the writing auditors. The morphological and syntactic properties of Arabic make it a difficult language to master, and explain the lack in the processing tools for that language. Among these properties, we can mention: the complex structure of the Arabic word, the agglutinative nature, lack of vocalization, the segmentation of the text, the linguistic richness, etc.