Arabic Natural Language Processing

Arabic Natural Language Processing (Arabic NLP) aims to enable computers to understand and process Arabic text and speech, addressing the challenges posed by its rich morphology and diverse dialects. Current research heavily focuses on developing and improving large language models (LLMs), often based on transformer architectures, and applying them to tasks like question answering, machine translation, sentiment analysis, and dialect identification. These advancements are crucial for bridging the language gap in various applications, including information retrieval, chatbot development, and social media analysis, ultimately fostering broader access to information and technology in Arabic-speaking communities.