CSEM547: Natural Language Processing
Catalog Description: Methods for designing systems that usefully and/or intelligently process natural language text data. Language models, text categorization, syntactic and semantic analysis, machine translation. Emphasizes algorithms and data-driven methods. Prerequisite: CSE 312 and CSE 332. Cannot be taken for credit if credit received for CSE 447; recommended: MATH 308; CSE 446 is recommended before or concurrently.
Prerequisities: (none listed) Credits: 4.0Portions of the CSEM547 web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSEM547 Web: © 1993-2024, Department of Computer Science and Engineering, University of Washington. Administrative information on CSEM547 (authentication required).