Christian Khairallah (Cayralat)

Research Assistant Affiliation: NYU Abu Dhabi
Education: BEng American University of Beirut; MSc Charles University in Prague and Saarland University

Research Areas: Spelling Correction; Morphological Analysis; Neural Machine Translation; Arabic Morphosyntax; Explainability Methods for Neural Networks; Resource Creation


Christian is a research assistant at the CAMeL Lab. He focuses on computational approaches aiming to reconcile the disparity between Modern Standard Arabic (MSA) and Dialectal Arabic (DA), both in terms of resource creation and processing tools. In addition to leveraging the latest computational methods to solve current NLP problems, he has a keen interest in dialectal and standard Arabic morphology and syntax.

He holds a Bachelor degree in Electrical and Computer Engineering from the American University of Beirut, and a double Master of Science in Computational Linguistics from Charles University in Prague and Saarland University in Germany, where he attended both as part of the Language and Communication Technologies (LCT) Erasmus Mundus Master's program. During his Master's, he focused on processing spontaneous orthography in Dialectal Arabic, which is the result of DA lacking any standard orthography, working on tasks such as morphological analysis and segmentation, character-level neural machine translation, spelling correction, and taxonomy and dataset creation.