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Tense and Aspect Systems

AI-generated Abstract

The work investigates tense, mood, and aspect (TMA) systems in human languages by creating a comprehensive database of comparable data from over 60 languages. The study aims to enhance understanding of TMA categories in languages worldwide, asserting that these can be distilled into a limited set of universal types. The insights drawn are intended to contribute to the broader theory of grammatical categorization.