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Instructor Class Description

Time Schedule:

Glenn C Slayden
LING 473
Seattle Campus

Basics for Computational Linguistics

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.

Class description

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

Recommended preparation

Class assignments and grading

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Additional Information
Last Update by Glenn C Slayden
Date: 06/08/2010