Course Description

Linguistic and computational aspect of natural language processing technologies. Lectures, readings, and projects in the computational techniques required to perform all levels of linguistic processing of text. Additional work required of graduate students. Cross-listed with CIS 668. 

Credit(s)

3.0

Professor of Record

Lu Xiao

Audience

The course is intended primarily for Masters’ students in Applied Data Science, Information Management, Computer Science, and Computational Linguistics, though it can be of interest and value to students in other programs.

Learning Objectives

At the end of the course, students will be able to: 

  1. Demonstrate the levels of linguistic analysis, the computational techniques used to understand text at each level and what the challenges are for those techniques.
  2. Process text through the language levels using the resources of the Natural Language Toolkit (NLTK) and some rudimentary use of the programming language Python.
  3. Describe how NLP is used in many types of real world applications.

Course Syllabi

IST 664 Fall 2021 Semester Syllabus- Jeffrey Stanton

IST 664 Fall 2021 Semester Syllabus - Benjamin Nichols

IST 664 Fall 2021 Semester Syllabus - Mei Zhang


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