This paper presents the Concept-Action Grammar Generator (CAGG) system, which is an open source framework for natural speechbased interaction to be used in the semantic analysis of sentences. The goal of our framework is two-fold: i) to deliver a formalism associating a context-aware semantics to the words in a sentence; ii) to provide a common framework to benchmark different implementations of evaluators with the aim of improving speech-based interaction. To this aim, CAGG includes a specifically designed formalism for grammars definition as well as parsing mechanisms to automatically create and evaluate their structure. CAGG implements a deterministic evaluator which provisional performance related to a number of natural queries is discussed in terms of correct semantic associations and computational time.
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