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Constraint Solving and Language Processing - First International Workshop, CSLP 2004, Roskilde, Denmark, September 1-3, 2004, Revised Selected and Invited Papers (Paperback, 2005 ed.)
Henning Christiansen, Peter Rossen Skadhauge, Jorgen Villadsen
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R1,609
Discovery Miles 16 090
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Ships in 10 - 15 working days
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This volume contains selected and thoroughly revised papers plus
contributions from invited speakers presented at the First
International Workshop on C- straint Solving and Language
Processing, held in Roskilde, Denmark, September 1-3, 2004.
Constraint Programming and Constraint Solving, in particular
Constraint Logic Programming, appear to be a very promising
platform, perhaps the most promising present platform, for bringing
forward the state of the art in natural language processing, this
due to the naturalness in speci?cation and the direct relation to
e?cient implementation. Language, in the present context, may - fer
to written and spoken language, formal and semiformal language, and
even general input data to multimodal and pervasive systems, which
can be handled in very much the same ways using constraint
programming. The notion of constraints, with slightly di?ering
meanings, apply in the ch- acterization of linguistic and cognitive
phenomena, in formalized linguistic m- els as well as in
implementation-oriented frameworks. Programming techniques for
constraint solving have been, and still are, in a period with rapid
devel- ment of new e?cient methods and paradigms from which
language processing can pro?t. A common metaphor for human language
processing is one big c-
straintsolvingprocessinwhichthedi?erent(-lyspeci?ed)linguisticandcognitive
phases take place in parallel and with mutual cooperation, which
?ts quite well with current constraint programming paradigms.
More than three decades ago Richard Montague presented a formal
description of the syntax and semantics of a fragment of English
that included verbs, nouns, negation, coordination and
quantification as well as propositional attitudes like assertion,
knowledge and belief. Nabla improves the syntactical part of this
approach by following modern lexicalist trends and, most
importantly, enriches the type system underlying the semantics by
several innovations. By this it meets the current on-going debate
about extensions of type theory recently discussed in computer
science, logic and linguistics.
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