Handbook of Natural Language Processing

Front Cover
Robert Dale, Hermann Moisl, Harold Somers
CRC Press, Jul 25, 2000 - Business & Economics - 964 pages
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This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
  

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Contents

Symbolic Approaches to Natural Language Processing
1
Tokenisation and Sentence Segmentation
11
Lexical Analysis
37
Parsing Techniques
59
Semantic Analysis
93
Discourse Structure and Intention Recognition
123
Natural Language Generation
147
Intelligent Writing Assistance
181
Collocations
507
Statistical Parsing
525
Authorship Identification and Computational Stylometry
545
Lexical Knowledge Acquisition
563
ExampleBased Machine Translation
611
WordSense Disambiguation
629
NLP Based on Artificial Neural Networks Introduction
655
Knowledge Representation
715

Database Interfaces
209
Information Extraction
241
The Generation of Reports from Databases
261
The Generation of Multimedia Presentations
305
Machine Translation
329
Dialogue Systems From Theory to Practice in TRAINS96
347
Empirical Approaches to Natural Language Processing
377
Corpus Creation for DataIntensive Linguistics
385
PartofSpeech Tagging
403
Alignment
415
Contextual Word Similarity
459
Computing Similarity
477
Grammar Inference Automata Induction and Language Acquisition
727
The Symbolic Approach to ANNBased Natural Language Processing
765
The Subsymbolic Approach to ANNBased Natural Language Processing
785
The Hybrid Approach to ANNBased Natural Language Processing
823
Character Recognition with Syntactic Neural Networks
847
Compressing Texts with Neural Nets
863
Neural Architectures for Information Retrieval and Database Query
873
Text Data Mining
889
Text and Discourse Understanding The DISCERN System
905
Index
921
Copyright

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