Everyday life would be easier if we could simply talk with
machines instead of having to program them. Before such talking
robots can be built, however, there must be a theory of how
communicating with natural language works. This requires not only a
grammatical analysis of the language signs, but also a model of the
cognitive agent, with interfaces for recognition and action, an
internal database, and an algorithm for reading content in and out.
In Database Semantics, these ingredients are used for
reconstructing natural language communication as a mechanism for
transferring content from the database of the speaker to the
database of the hearer.
Part I of this book presents a high-level description of an
artificial agent which humans can freely communicate with in their
accustomed language. Part II analyzes the major constructions of
natural language, i.e., intra- and extrapropositional functor -
argument structure, coordination, and coreference, in the speaker
and the hearer mode. Part III defines declarative specifications
for fragments of English, which are used for an implementation in
Java.
The book provides researchers, graduate students and software
engineers with a functional framework for the theoretical analysis
of natural language communication and for all practical
applications of natural language processing.
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