Titlebook: Constraint Solving and Language Processing; First International Henning Christiansen,Peter Rossen Skadhauge,Jørgen Conference proceedings

FLORA

An Exploratory Application of Constraint Optimization in Mozart to Probabilistic Natural Language Prtion is performed on the probability of a sentence using a dependency-style syntactic representation, which is computed using an adaptation of the English Penn Treebank as data. The same program solves both parsing and generation subproblems, providing the flexibility of a general architecture combi

Obloquy

A Constraint-Based Model for Lexical and Syntactic Choice in Natural Language Generationructure in natural language generation (in particuler in French). We concentrate on the linguistic description, which is the most challenging. The CSP procedures themselves are then rather straightforward. In the first case, preposition choice depends on the verb and its requirements, on the one han

mydriatic

https://doi.org/10.1007/b136253Syntax; constraint logic programming; constraint optimization; constraint programming; constraint solvin

讨好女人

978-3-540-26165-0Springer-Verlag Berlin Heidelberg 2005

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Margherita Antona,Constantine Stephanidisonal constraint language processing. We first present here our framework for language processing, where all linguistic knowledge is represented by means of constraints. The grammar itself is a constraint system. A constraint is a relation among categories, which encodes a linguistic property. But in

Cubicle

https://doi.org/10.1007/978-3-319-20687-5n the formalism Extensible Dependency Grammar (XDG). The grammar rules are automatically inferred from the Prague Dependency Treebank (PDT) and constrain dependency relations, modification frames and word order, including non-projectivity. Although these simple constraints are adequate from the ling