The Department of Cognitive Science
cordially invites you to the public defense of the PhD thesis
INFERRING TEMPORAL ORDER
IN LANGUAGE COMPREHENSION
by
Elena Marx
Tuesday, January 13, 3 P.M. CET
QS Auditorium (CEU, Quellenstrasse 51, 1100 Vienna)
Zoom:
https://ceu-edu.zoom.us/j/97449457820?pwd=MKOSvQ2ATdtpwzVVSZSWDj0Iwab4ka.1&…
Meeting ID: 974 4945 7820
Passcode: 835739
PRIMARY SUPERVISOR: Éva Wittenberg (CEU)
SECONDARY SUPERVISOR: Ágnes Melinda Kovács (CEU)
Members of the Dissertation Committee:
Gergely Csibra, Chair, CEU
Gerry
Altmann<https://psychology.uconn.edu/person/gerry-altmann/>n/>, University of
Connecticut as External Examiner
Ercenur Ünal<https://www.mpi.nl/people/unal-ercenur>, Max Planck Institute for
Psycholinguistics as External Examiner
*Anyone not affiliated with CEU wishing to attend in-person in Vienna must RSVP
here<https://forms.office.com/e/QLUr0KiZPL> to get access to the lecture hall.
ABSTRACT |How do people order events in their mind when listening to a story? Language
often provides explicit hints as to whether something has happened, will happen or
happened before or after something else. However, in many cases, the temporal order
between linguistically described situations is underspecified and needs to be inferred.
This thesis proposes that such inferences are grounded in more general cognitive
principles that take event dynamicity - namely, whether situations are inherently static
or change over time - as a starting point. Specifically, I propose that comprehenders
infer more salient events to happen against the backdrop of less salient states.
Four lines of experiments serve to test this proposal experimentally. The first study
provides first empirical evidence that temporal interpretation is systematically driven by
encoded event dynamicity. Participants reliably matched complex situation descriptions to
visual sequences in which described states preceded described events. The second study
replicates this pattern of results in three languages in an act-out task, demonstrating
that this interpretative preference arises in the absence of visual scaffolding. The third
study extends the linguistic context under investigation from complex sentence
descriptions to discourse. The fourth study delves deeper into the underlying mechanisms
of this temporal inference by using different tenses, thereby testing competing
explanations based on linguistic encoding and more general cognitive principles.
Overall, this thesis sheds light on the broader question of how event cognition and
language interact to form mental representations of temporal relations. Its findings
support models of event comprehension that treat event structure, more specifically the
presence or absence of dynamic change, as a central organizing principle for understanding
temporal structure in language.
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GyörgyNÉ Finta (Réka)
Department Coordinator
Department of cognitive SCience
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