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CSCI 2952I - Language Processing in Humans and Machines |
Understanding language requires transforming sequences of sounds into words, combining words into meaningful thoughts, and incorporating thoughts into an ongoing discourse. Psychologists and linguists have been trying to reverse-engineer how humans do this so easily, at the speed of conversation. In parallel, computer scientists have been trying to engineer machines to solve the same problems, leading to products like Siri and Alexa. This class will explore how these two kinds of research can help each other, bringing recent insights from machine learning into the study of human language processing, and insights from human processing into the architectures of machine language systems. For CS students: Machine Learning, Deep Learning, Computational Linguistics (or comparable experience). For CLPS students: At least one of CLPS 0200, 0300, 0800, or 1800
0.000 OR 1.000 Credit hours 0.000 OR 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Discussion Section/Conference, Lab, Primary Meeting All Sections for this Course Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Graduate |
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