Table of Contents
Statistical NLP: Lecture 8
Overview
Forming Equivalence Classes I
Statistical Estimators I: Overview
Statistical Estimators II: Maximum Likelihood Estimation
Statistical Estimators III: Smoothing Techniques: Laplace
Statistical Estimators IV: Smoothing Techniques:Lidstone and Jeffrey-Perks
Statistical Estimators V: Robust Techniques: Held Out Estimation
Statistical Estimators VI: Robust Techniques: Cross-Validation
Statistical Estimators VI: Related Approach: Good-Turing Estimator
Combining Estimators I: Overview
Combining Estimators II: Simple Linear Interpolation
Combining Estimators II:Katz’s Backing Off Model
Combining Estimators II: General Linear Interpolation
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