COMP 331 Natural Language Processing
The wealth of textual information online and elsewhere makes the ability for computers to understand and generate text particularly valuable. This course will explore both the traditional, linguistic approach to understanding language, as well as modern information retrieval and statistical big data approaches. Topics include information retrieval, search engines, parsing, Markov models, and knowledge representation.
Sub-field: ARTIFICIAL INTELLIGENCE
Prerequisite
COMP 229 or by permission of instructor