Foundations of Statistical Natural Language Proccesing

Description

Mathematical Foundations - Linguistic Essentials - Corpus-Based Work / - Words : Collocations - Statistical Inference: n-gram Models over Sparse Data - Word Sense Disambiguation - Lexical Acquisition / - Grammar : Markov Models - Part-of-Speech Tagging - Probabilistic Context Free Grammars - Probabilistic Parsing / - Applications and Techniques : Statistical Alignment and Machine Translation - Clustering - Topics in Information Retrieval - Text Categorization. Foundations of Statistical Natural Language Processing Title Page Brief Contents Contents List of Tables List of Figures Table of Notations Preface Road Map I Preliminaries 1 Introduction 2 Mathematical Foundations 3 Linguistic Essentials 4 Corpus-Based Work II Words 5 Collocations 6 Statistical Inference 7 Word Sense Disambiguation 8 Lexical Acquisition III Grammar 9 Markov Models 10 Part-of-Speech Tagging 11 Probabilistic Context Free Grammars 12 Probabilistic Parsing IV Applications and Techniques 13 Statistical Alignment and Machine Translation 14 Clustering 15 Topics in Information Retrieval 16 Text Categorization Tiny Statistical Tables Bibliography Index Errata