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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.
0.000 OR 1.000 Credit hours 0.000 OR 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Discussion Section/Conference, 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 07 Graduate-Doctoral Semester Level 09 Semester Level 10 Semester Level 11 Semester Level 12 Semester Level 13 Graduate-Masters Semester Level 03 Semester Level 08 Prerequisites: Undergraduate level CSCI 1470 Minimum Grade of S |
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