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A Panoramic Survey of Natural Language Processing in the Arab World

arXiv · Nov 25

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.

A Glass Bead Game of *-ology: Contemporary Computational Approaches to Linguistic Morphology, Typology and Social Psychology

MBZUAI · Invalid Date

Ekaterina Vylomova from the University of Melbourne gave a talk on using NLP models to advance research in linguistic morphology, typology, and social psychology. The talk covered using models to study morphology, phonetic changes in words over time, and diachronic changes in language semantics. Vylomova presented the UniMorph project, a cross-lingual annotation schema and database with morphological paradigms for over 150 languages. Why it matters: This research demonstrates the potential of NLP to contribute to a deeper understanding of language evolution and structure, with applications in linguistic research and the study of social and cultural changes.