Metacomputation as a Tool for Formal Linguistic Modeling
Robert Glück, Andrei Valentinovich Klimov · Research at the University of Copenhagen (University of Copenhagen) · 2008
We consider the principle "a new model is a model of an existing one" as the main scheme for deriving new linguistic models by metacomputation. We derive the basic requirements for metacomputation by a structural analysis of different model definitions, and show that in order to automate the creation of linguistic models the following operations on linguistic models have to be performed by metacomputation effectively and efficiently: composition, inversion, and specialization of algorithms. This may also serve as a unifying paradigm for different program transformation approaches. 1. INTRODUCTION During the last decades we have witnessed tremendous technological breakthroughs in the development and application of computers. The introduction of the computer was an evolutionary step in the control of formal linguistic models, a metasystem transition (MST). As a result the number of linguistic models created and used has significantly increased. The method of modern science is, in its e...