Foundations_of_Statistical_Natural_Language_Processing
Brief Contents I Preliminaries 1 1 Introduction 3 2 Mathematical Foundations 39 3 Linguistic Essentials 81 4 Corpus-Based Work 117 II Words 149 5 Collocations 151 6 Statistical Inference: n-gram Models over Sparse Data 191 7 Word Sense Disambiguation 229 8 Lexical Acquisition 265 III Grammar 315 9 Markov Models 317 10 Part-of-Speech Tagging 341 11 Probabilistic Context Free Grammars 12 Probabilistic Parsing 407 381 I v Applications and Techniques 461 13 Statistical Alignment and Machine Translation 14 Clustering 495 15 Topics in Information Retrieval 529 16 Text Categorization 575 463
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