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## Abstract This study present a corpus-based comparison of two aspectual-sematic classification models proposed in theoretical literature (unidimensional vs. bidimensional) by applying them to a set of nominal and verbal gerunds from the Modern English period. It (i) summarises the differences between unidimensional and bidimensional classification models and (ii) the potential problems associated with them. Despite the difficulties of studying semantic aspect in Present-day as well as historical data, this study will argue that, (iii) at least for deverbal nominalization patterns, it is possible to take a bidimensional approach and maintain a clear distinction between, on the one hand,aspectfeatures of the nominalized situation (stativity/dynamicity, durativity/punctuality, and telicity/atelicity), andtemporal boundednessof that situation. The question of which semantic classification model to use, then, is not so much one of which one is practically feasible in a corpus analysis, but rather which one is best suited to describe the attested variation. In order to determine the best model (in terms of parsimony and descriptive accuracy), (iv) the models were compared by means of ‘

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Author

Lauren Fonteyn

Publisher

Walter de Gruyter GmbH

Published

2018

Language

EN

Field

Arts and Humanities (Social Sciences)