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For the safety of our community, UWPCE programs will be taught remotely for the 2020-21 academic year.

For more information, see our Coronavirus FAQ

Advanced Statistical Methods in Natural Language Processing

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Course Details

  • Location: Online
  • Duration: 9 weeks
  • Times: Days
  • Cost : $3,648

Next Start Date:

January 5, 2021

This course is part of a certificate program. You can also take it without enrolling in the program.

Get Details & Apply

About this Course


This course covers several important machine learning algorithms for natural language processing that produce state-of-the-art results, including decision trees, k-Nearest Neighbors, Naive Bayes, transformation-based learning, Support Vector Machines, Maximum Entropy and Conditional Random Fields. While the course focuses on supervised methods, it also includes a brief introduction to semi-supervised and unsupervised methods. Students will implement many of the algorithms and apply these algorithms to NLP tasks.

Program Overview

You must complete two required courses and one elective course to earn the certificate.

You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.

Learning Format

Online With Real-Time Meetings

Combine the convenience of online learning with the immediacy of real-time interaction. You’ll stream courses online and interact with your instructors and fellow students via chat, web conferencing or phone, all in real time. Learn More »

Course Sessions

Online With Real-Time Meetings

Online

Meet your instructor

Fei Xia

Professor, Department of Linguistics

Credit Course

You’ll earn 4 academic credits for successfully completing this course. Learn more about credit courses

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