Comprehension of Simple Quantifiers. Empirical Evaluation of a Computational Model

Abstract
We examine the verification of simple quantifiers in natural language from a computational model perspective. We refer to previous neuropsychological investigations of the same problem and suggest extending their experimental setting. Moreover, we give some direct empirical evidence linking computational complexity predictions with cognitive reality.
In the empirical study we compare time needed for understanding different types of quantifiers. We show that the computational distinction between quantifiers recognized by finite-automata and push-down automata is psychologically relevant. Our research improves upon hypothesis and explanatory power of recent neuroimaging studies as well as provides
evidence.
Keywords language comprehension  generalized quantifiers  finite- and push-down automata  computational semantics
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References found in this work BETA
Gottlob Frege (1892/1960). Über Sinn und Bedeutung. Zeitschrift für Philosophie Und Philosophische Kritik 100 (1):25--50.
Marcello Frixione (2001). Tractable Competence. Minds and Machines 11 (3):379-397.

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