Computational Linguistics

CS4122.01
Course System Home Terms Spring 2019 Computational Linguistics

Course Description

Summary

In this class, students will learn various techniques and algorithms for processing human languages. Topics we will cover include data structures and algorithms for text processing, tokenization, and part-of-speech tagging among other topics. Students will learn techniques for working with large amounts of data, and gain familiarity with common resources such as the Penn Treebank and WordNet. In addition, we will be talking about basic linguistics and probability concepts.

Prerequisites

At least one semester of programming experience (or its equivalent) is required, and basic Python/math skills will be useful!

Please contact the faculty member :

Instructor

  • Justin Vasselli

Day and Time

Academic Term

Spring 2019

Area of Study

Credits

4

Course Level

4000

Maximum Enrollment

18