Glenn C Slayden
Examines computer applications involving automatic processing of natural language speech or text by machines. Intended as preparation for CLMA core courses. Includes concepts form probability and statistics; formal grammars and languages; finite-state automata and transducers; review of algorithms and data structures; and software for using parallel server cluster. Prerequisite: CSE 326; STAT 391; programming in Perl, C, C++, Java, or Python. Offered: S.
This course examines computer applications in the automatic processing of natural language. Students will develop and reinforce foundational skills in the fields of linguistics, probability, statistics, and computer science, as preparation for further study in computational linguistics.
Student learning goals
General method of instruction
Class assignments and grading