Abstract
This document presents a new kind of grammars: the Generative Dependency Grammar (GDG) and GDG with Feature Structure (FS) represented as Attribute Value Tree (AVT). This type of grammars is based on dependency trees (DT) and a generative process. GDG will eliminate some issues of Dependency Grammars DG (for example the missing of phrasal categories) and Generative Grammars GG (the problem of discontinuous structures) and will merge the advantages of the two types of grammar (GG — the representation of phrasal categories; GDG — the handling of discontinuous structures as gaps and non projective constructions). We present the generation process and the unification in GDG. Some properties of AVT and a logical representation of AVT are presented too. GDG is useful in grammar representations for natural language understanding, machine translation and data retrieval.
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© 2003 Springer-Verlag London Limited
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Diaconescu, S. (2003). Natural Language Understanding Using Generative Dependency Grammar. In: Bramer, M., Preece, A., Coenen, F. (eds) Research and Development in Intelligent Systems XIX. Springer, London. https://doi.org/10.1007/978-1-4471-0651-7_31
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DOI: https://doi.org/10.1007/978-1-4471-0651-7_31
Publisher Name: Springer, London
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