Reconciling Parameterization, Configurability and Optimality in Natural Language Generation via Multiparadigm Programming

摘要

This paper focuses on how multiparadigm - namely, constraint, object-oriented and higher-order - programming can be drawn upon not only to specify multiparameterized linguistic realization engines but also and above all to rationalize their configuration into full-fledged generation modules for specific language-application pairs. We describe Manati, one such engine whose instantiations render linguistic form to conceptual/semantic directed hyper-graphs, and point out how its constraint-based concurrent architecture entails collaboration and interleaving so as to allow the definition and optimization of global quality measures.