​The Machine Learning for Natural Languages Processing and Computer Vision research group has made significant contributions to advancing machine learning and artificial intelligence, particularly in the context of Arabic language processing. The group's achievements reflect its dedication to high-quality research and its impact on the scientific community. Notable Achievements:

1.       Leading Solutions for Arabic Language Processing

• Developed the first accurate solution for diacritizing Arabic text using deep learning, addressing a longstanding linguistic challenge.
• Produced accurate systems for analyzing and diacritizing Arabic poetry, enhancing computational applications for literary studies.
• Designed innovative applications for correcting Arabic spelling mistakes and translating local dialects into Modern Standard Arabic.

2.       Scholarly Impact

• Published over 40 research articles in reputable journals and conferences, demonstrating the group's active contribution to the scientific discourse.
• These publications have collectively garnered over 1,000 citations, highlighting the influence and recognition of the group's work within the academic community.

3.       Success in Research Funding

• Secured grants for 8 innovative research projects, enabling the group to explore groundbreaking ideas and maintain its leadership in the field.

These achievements underscore the group's commitment to addressing significant challenges in natural language processing and computer vision. They enhance its academic reputation and showcase its ability to deliver impactful, high-value research with practical and scientific implications.