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Applied Natural Language Processing
This course will examine the state-of-the-art in applied Natural Language Processing (NLP), with an emphasis on how well the algorithms work and how they can be used (or not) in applications. Topics will include POS tagging, parsing, language models and classification.
Weekly Contact: Lab: 1 hr. Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1