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CPS 870

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

Prerequisites

(CPS 420 or MTH 210) and (MTH 380 or MTH 304)

Co-Requisites

None

Antirequisites

None

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.