Natural Language Processing for All

Nearly 7,000 languages are spoken in the world today, but fewer than two dozen have the massive training data required to build AI applications like language and speech-to-text translation. The problem is compounded by a shortage of computing resources in much of the world. This panel will explore ways of making nlp more efficient, interpretable, and linguistically informed, to reach speakers of all languages. Speakers: Jacob Andreas, Yoon Kim (MIT); Ellie Pavlick (Brown); Emma Strubell (CMU); Moderator: Aude Oliva (MIT)