NLP Beyond the Top-100 Languages

Explore the challenges and opportunities of developing NLP technologies for languages beyond the most common 100 in this 57-minute talk by Antonios Anastasopoulos from George Mason University. Discover how large multilingual pre-trained language models are paving the way for NLP advancements in resource-scarce languages. Learn about the importance of expanding multilingual evaluation beyond frequently studied languages and the complexities of handling new, previously unseen languages and varieties. Gain insights into the speaker's experiences working with indigenous and endangered language communities and activists. Delve into topics such as computational linguistics, natural language processing in low-resource settings, and cross-lingual learning as presented by this Assistant Professor in Computer Science, who completed his PhD at the University of Notre Dame and conducted postdoctoral research at Carnegie Mellon University's Language Technologies Institute.