Foundations of Statistical Natural Language Processing.pdf

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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 31
1999 10/13 Lucida ATEX 2 8 P98.5S83M36 410’.285-dc21 CIP 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 I Grammar 315 9 Markov Models 317 10 Part-of-Speech Tagging 341 11 Probabilistic Context Free grammars 381 12 Probabilistic Parsing 407 Iv Applications and Techniques 461 13 Statistical Alignment and Machine Translation 463 14 Clustering 495 15 Topics in Information Retrieval 529 16 Text categorization 575 Contents List of tables xu List of figures Table of Notations xxv Preface xxix Road Map xv I Preliminaries 1 1 Introduction 3 Mathematical foundations 39 2.l P 72 Linguistic Essentials Contents Pragmatics Corpus-Based Work 4.4 II Words 149 5 Collocations Statistical Inference: n gram Models over Sparse Data Conte (MLE Word Sense Disambiguation 229 7. Lexical Acquisition 265 8.1 Similarity 8.5.2 III Grammar 315 9 Markov Models 317 91 HMMS? HMMS HMMS 10 Part-of-Speech Tagging 341

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MyIriya001 还是比较清楚的,就是有个别错误(转录时候出的错吧,大概1个chapter有那么1-2个)
2020-06-09
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