ISSP 3120 Advanced Topics in Natural Language Processing

Description

Natural Language Processing (NLP) is primarily concerned with creating computer programs that interact with human languages. The objective of this course is to continue the studies of natural language processing (NLP), to explore selected topics amoung syntax, semantics, and pragmatics more deeply, and to discuss recent advances in NLP.


Prerequisites: ISSP 2230 (or permission from the instructor)

Recitations: none

Expected class size: 24

Frequency: This course is usually offered in the spring term.

Credits: 3