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Aspect in Ancient Greek - Nijmegen Centre for Semantics

Aspect in Ancient Greek - Nijmegen Centre for Semantics

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88 Chapter 4. An analysis of aoristic and imperfective aspectJohn, however. MAX, the <strong>in</strong>terpretation of MAX, maps the set of all sleep<strong>in</strong>geventualities of John {e 1 , e 2 , e 3 , e 4 } on the set of maximal sleep<strong>in</strong>g eventualitiesof John {e 1 }.e 1e 2e 3e 4MAX❄e 1Figure 4.7: The effect of the maximality operatorMAX always returns bounded predicates. For bounded predicates it is theidentity mapp<strong>in</strong>g: due to the property of boundedness, all eventualities <strong>in</strong> theextension of P are <strong>in</strong> the extension of MAX(P) as well, and no other.Note that I use the simpler version of Krifka’s AOR operator. Why can Ido that? Recall from section 3.2.2 that Krifka was compelled to work with amore complex version of the maximality operator because of the existence ofnon-convex eventualities. The problem was the follow<strong>in</strong>g. In the scenario thatJohn sleeps from 1 to 2 and then aga<strong>in</strong> from 3 to 4, one requires of a maximalityoperator that the two eventualities, the one from 1 to 2, e 1 , and the one from3 to 4, e 2 , are <strong>in</strong> the extension of the predicate that results from apply<strong>in</strong>gthe maximality operator to the predicate, <strong>for</strong> both are locally maximal. If weassume that unbounded predicates are cumulative (63), as Krifka does, this isnot what MAX gives us, s<strong>in</strong>ce e 3 , the sum of e 1 and e 2 , is due to the cumulativity<strong>in</strong> the extension of j sleep (<strong>for</strong> John sleep) too. But if j sleep holds of e 3and e 1 is a proper part of e 3 , then MAX(j sleep) does not hold of e 1 . Butthen MAX does not do what it should do. Note that the argument, and hencethe need <strong>for</strong> complication, rests on the assumption that unbounded predicatesare cumulative. Given that I don’t share this assumption, but <strong>in</strong>stead def<strong>in</strong>eboundedness <strong>in</strong> terms of (partial) divisivity (99), I can say that e 3 <strong>in</strong> thisscenario is not <strong>in</strong> the extension of j sleep (someth<strong>in</strong>g which is not aga<strong>in</strong>st our<strong>in</strong>tuitions). For this reason I can stick with the simple maximality operatorMAX, which is a welcome result, as the notion of convexity <strong>for</strong> eventualities thatis <strong>in</strong>volved <strong>in</strong> the complex def<strong>in</strong>ition is conceptually unclear (recall that Krifkahimself doesn’t provide a def<strong>in</strong>ition). I will return to MAX <strong>in</strong> the next section.Let’s first consider the effect of the maximality operator <strong>in</strong> comb<strong>in</strong>ationwith the semantics of the aorist. The <strong>in</strong>tervention of the maximality coercion

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