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CSCI 1460 - Computational Linguistics |
The application of computational methods to problems in natural-language processing. In particular we examine techniques due to recent advances in deep learning: word embeddings, recurrent neural networks (e.g., LSTMs), sequence-to-sequence models, and generative adversarial networks (GANs). Programming projects include parsing, machine translation, question answering, and chat-bots. The prerequisite of CS 1470 (or the equivalent background) is very important.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Computer Science Department Restrictions: Must be enrolled in one of the following Classifications: Semester Level 04 Semester Level 05 Semester Level 06 Semester Level 13 Semester Level 08 Semester Level 09 Semester Level 10 Semester Level 11 Semester Level 12 Semester Level 03 Semester Level 07 Prerequisites: Undergraduate level CSCI 1470 Minimum Grade of S |
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