Introduction to Natural Language Processing (600.465) Probability

9/7/00


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Table of Contents

Introduction to Natural Language Processing (600.465) Probability

Experiments & Sample Spaces

Events

Probability

Estimating probability

Example

Basic Properties

Joint and Conditional Probability

Bayes Rule

Independence

Chain Rule

The Golden Rule (of Classic Statistical NLP)

Random Variables

Expectation Joint and Conditional Distributions

Standard distributions

Continuous Distributions

Author: Jan Hajic

Email: hajic@cs.jhu.edu

Home Page: http://www.cs.jhu.edu/~hajic/courses/cs465/syllabus.html