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Results for "Arabic AI"

A Panoramic Survey of Natural Language Processing in the Arab World

arXiv ·

This survey paper reviews the landscape of Natural Language Processing (NLP) research and applications in the Arab world. It discusses the unique challenges posed by the Arabic language, such as its morphological complexity and dialectal diversity. The paper also presents a historical overview of Arabic NLP and surveys various research areas, including machine translation, sentiment analysis, and speech recognition. Why it matters: The survey provides a comprehensive resource for researchers and practitioners interested in the current state and future directions of Arabic NLP, a field critical for enabling AI technologies to serve Arabic-speaking communities.

AI in Arabic? How Gulf could soon lead Artificial Intelligence race - Khaleej Times

Khaleej Times ·

The Gulf region is making significant investments in artificial intelligence, particularly in Arabic NLP. Recent developments include large language models trained on Arabic data and initiatives to promote AI ethics and policy. Why it matters: These investments aim to position the Gulf as a leader in AI, especially in leveraging the Arabic language and culture.

Large Language Models and Arabic Content: A Review

arXiv ·

This study reviews the use of large language models (LLMs) for Arabic language processing, focusing on pre-trained models and their applications. It highlights the challenges in Arabic NLP due to the language's complexity and the relative scarcity of resources. The review also discusses how techniques like fine-tuning and prompt engineering enhance model performance on Arabic benchmarks. Why it matters: This overview helps consolidate research directions and benchmarks in Arabic NLP, guiding future development of LLMs tailored for the Arabic language and its diverse dialects.