Building Natural Language Generation Systems

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Cambridge University Press, Jan 28, 2000 - Computers - 248 pages
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This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.
 

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simply awesome book the way of explanation is very simple

Contents

1 Introduction
1
2 National Language Generation in Practice
23
3 The Architecture of a Natural Language Generation System
41
4 Document Planning
79
5 Microplanning
114
6 Surface Realisation
159
7 Beyond Text Generation
198
NLG Systems Mentioned in This Book
229
References
231
Index
243
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