Natural Language Processing

4 credits

Methods for designing systems that usefully and/or intelligently process natural language text data. Language models, text categorization, syntactic and semantic analysis, machine translation. This course emphasizes algorithms and data-driven methods. Course overlaps with: CSS 488 and TCSS 456. Prerequisite: CSE 312 and CSE 332; recommended: MATH 208; and CSE 446 is recommended before or concurrently.