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Iterative method of generating artificial context-free grammars (1911.05801v1)
Published 13 Nov 2019 in cs.FL
Abstract: Grammatical inference is a machine learning area, whose fundamentals are built around learning sets. At present, real-life data and examples from manually crafted grammars are used to test their learning performance. This paper aims to present a method of generating artificial context-free grammars with their optimal learning sets, which could be successfully applied as a benchmarking tool for empirical grammar inference methods.
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