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Description:
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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.
"Consistent and well-developed...a valuable guide..." General Linguistics
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