LING 439/539: Statistical Natural Language Processing

Description

From the course catalog:

This course introduces the key concepts underlying statistical natural language processing. Students will learn a variety of techniques for the computational modeling of natural language, including: n-gram models, smoothing, Hidden Markov models, Bayesian Inference, Expectation Maximization, Viterbi, Inside-Outside Algorithm for Probabilistic Context-Free Grammars, and higher-order language models.

The main programming language used in the course will be Python (3.7).

Details

Please see the course syllabus for details.

Locations and Times

MW 9:30AM - 10:45AM in Saguaro Hall, Room 202

The University of Arizona's mitigation plan for curtailing the spread of the COVID-19 virus mandates that all courses shift to a fully online format from 3/16/2020.

In light of this change...

  1. office hours will be held virtually
  2. course lectures will be prerecorded and delivered asynchronously for the remainder of the Spring 2020 semester

Instructor

NameGus Hahn-Powell
Emailhahnpowell@email.arizona.edu
Office HoursMW 10:30AM - 11:30AM and by appointment

Teaching Assistant (439)

NamePatricia Lee
Emailpllee@email.arizona.edu
Office HoursThurs 2PM - 3PM