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AraBERT: Transformer-based Model for Arabic Language Understanding

arXiv ·

Researchers at the American University of Beirut (AUB) have released AraBERT, a BERT model pre-trained specifically for Arabic language understanding. The model was trained on a large Arabic corpus and compared against multilingual BERT and other state-of-the-art methods. AraBERT achieved state-of-the-art performance on several tested Arabic NLP tasks including sentiment analysis, named entity recognition, and question answering. Why it matters: This release provides the Arabic NLP community with a high-performing, open-source language model, facilitating further research and development.

Pioneering research from sea to space

KAUST ·

KAUST alumna Aubrie O'Rourke (Ph.D. '15) received an Alfred P. Sloan Foundation Award Fellowship with NASA to study bacteria aboard the International Space Station (ISS). O'Rourke will analyze samples of Burkholderia cepacia bacteria from the ISS potable water system. She will sequence genomes to understand pathogenicity and virulence, comparing them to terrestrial strains. Why it matters: Understanding how microorganisms evolve in space has implications for astronaut health during long-duration missions, and this award highlights KAUST's role in fostering pioneering research.