Abstract
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 hypergraphs, 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.
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Pelizzoni, J.M., Nunes, M.d.G.V. (2005). Reconciling Parameterization, Configurability and Optimality in Natural Language Generation via Multiparadigm Programming. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_39
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DOI: https://doi.org/10.1007/978-3-540-30586-6_39
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