Deep Processing Techniques for Natural Language Processing

4 credits

Algorithms for associating deep or elaborated linguistic structures with naturally occurring linguistic data (parsing/semantics/discourse), and for producing natural language strings from input semantic representations (generation). Prerequisite: a minimum grade of 2.7 in CSE 373; and either a minimum grade of 2.7 in MATH 394/STAT 394, a minimum grade of 3.0 in LING 473, or a passing grade on the CLMS placement exam. Offered: AW.