Machine Learning for Natural Language Processing

Seoul National University
Fall 2013

Rob Malouf
Dept. of Linguistics and Asian/Middle Eastern Languages
San Diego State University


This course offers a survey of basic statistical and machine learning methods for computational linguistics. Topic to be covered include:

Prerequisite: Basic knowledge of probability and statistical NLP

Suggested Readings


  1. Introduction (slides)
  2. Bayesian methods (slides)
  3. Non-parametric techniques and ensemble algorithms (slides)
  4. Support vector machines (slides)
  5. Python examples (notebook)
Sun Aug 18 17:48:16 PDT 2013