SYSTEM AND METHOD FOR AUTOMATED ARABIC LANGUAGE QUALITY ASSURANCE, PERFORMANCE OPTIMIZATION, AND SECURITY ENHANCEMENT OF GOVERNMENT WEBSITES
개요
발명자
Khalid Saud Almuraee; Moath Ali Alzahrani; Abdulmohsen Ahmed AlMadhi; Hanan Khalid Alsalamah
IPC 분류
CPC 분류
The current invention relates to a novel system and method for comprehensively assessing and enhancing the quality of Arabic language content on government websites. The system utilizes artificial intelligence (AI), specifically deep learning models, to automatically detect and classify a wide range of errors in Arabic text, including spelling, grammatical, stylistic, and content-related errors. The system further generates statistical data on error frequency and types, facilitating data integrity analysis and identifying potential security risks. Additionally, the system incorporates integrated features for search engine optimization (SEO), performance monitoring, and security testing, thereby providing a holistic solution for improving government websites' overall functionality, usability, and security.
원문 (중국어)
The current invention relates to a novel system and method for comprehensively assessing and enhancing the quality of Arabic language content on government websites. The system utilizes artificial intelligence (AI), specifically deep learning models, to automatically detect and classify a wide range of errors in Arabic text, including spelling, grammatical, stylistic, and content-related errors. The system further generates statistical data on error frequency and types, facilitating data integrity analysis and identifying potential security risks. Additionally, the system incorporates integrated features for search engine optimization (SEO), performance monitoring, and security testing, thereby providing a holistic solution for improving government websites' overall functionality, usability, and security.