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School of Information
Faculty of Science
Evolving Language in an Information Economy, Language, Sustainability and Transnationalism
AbdelRahim Elmadany is a computer science Postdoctoral Fellow in the Deep Learning and Natural Language Understanding (DLNLP) group in the School of Information at the University of British Columbia. He completed his MSc. and Ph.D. in computer science from Cairo University, Egypt. In addition, he has a teaching experience from Jazan University (KSA), as well as, he has a large industrial background from working earlier for top research companies.
His research interests include Natural Language Understanding (NLP), Machine Translation (MT), Language Generation, and Automatic Speech Recognition (ASR), as well as Computational Social Science and Language Modeling. Currently, his work focuses on Arabic and Indigenous languages.
He has published more than 30 research papers in top-tier peer-reviewed venues. Examples of Dr. Elmadany’s recent work include ARBERT & MARBERT: deep bidirectional transformers for Arabic, Mega-COV: A billion-scale dataset of 100+ languages for covid-19, AraT5: Text-to-Text Transformers for Arabic Language Generation, Holy Tweets: Exploring the sharing of the Quran on Twitter, TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation and Investigating code-mixed modern standard Arabic-Egyptian to English machine translation.