This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes a
The Handbook of Computational Linguistics and Natural Language Processing
โ Scribed by Alexander Clark, Chris Fox, Shalom Lappin
- Publisher
- Wiley-Blackwell
- Year
- 2010
- Tongue
- English
- Leaves
- 801
- Series
- Blackwell Handbooks in Linguistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has producedPresents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologiesServes as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
โฆ Table of Contents
The Handbook of Computational Linguistics and Natural Language Processing......Page 5
Contents......Page 9
List of Figures......Page 11
List of Tables......Page 16
Notes on Contributors......Page 17
Preface......Page 25
Introduction......Page 27
Part I Formal Foundations......Page 35
1 Formal Language Theory......Page 37
2 Computational Complexity in Natural Language......Page 69
3 Statistical Language Modeling......Page 100
4 Theory of Parsing......Page 131
Part II Current Methods......Page 157
5 Maximum Entropy Models......Page 159
6 Memory-Based Learning......Page 180
7 Decision Trees......Page 206
8 Unsupervised Learning and Grammar Induction......Page 223
9 Artificial Neural Networks......Page 247
10 Linguistic Annotation......Page 264
11 Evaluation of NLP Systems......Page 297
Part III Domains of Application......Page 323
12 Speech Recognition......Page 325
13 Statistical Parsing......Page 359
14 Segmentation and Morphology......Page 390
15 Computational Semantics......Page 420
16 Computational Models of Dialogue......Page 455
17 Computational Psycholinguistics......Page 508
Part IV Applications......Page 541
18 Information Extraction......Page 543
19 Machine Translation......Page 557
20 Natural Language Generation......Page 600
21 Discourse Processing......Page 625
22 Question Answering......Page 656
References......Page 681
Author Index......Page 768
Subject Index......Page 789
โฆ Subjects
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