Advanced Statistical Methods in Natural Language Processing


Course Details

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

Next Start Date:

January 4, 2022

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

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About this Course

This course covers several important machine learning algorithms for natural language processing, including decision trees, k-Nearest Neighbors, Naive Bayes, transformation-based learning, Support Vector Machines, Maximum Entropy and Conditional Random Fields. 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


Attend classes part time at one of our convenient locations in the Puget Sound region. You’ll engage face to face with your classmates and instructors as part of a highly interactive curriculum. Learn More »

Course Sessions


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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