How Surprising! Mirativity, Evidentiality and Abductive Inference

In Teresa Lopez-Soto, Dialog Systems: A Perspective From Language, Logic and Computation. Springer Verlag. pp. 115-136 (2021)
  Copy   BIBTEX

Abstract

Mirativity is a grammatical category or a linguistic strategy that makes explicit the surprising aspect of a piece of information. Different mirativity strategies appear in different languages. Evidentiality is a grammatical category that explicitly expresses the source of information, i.e. if something has been seen, heard or inferred. Whether mirativity forms part of evidentiality is an open question. An agent makes use of a mirativity marker when she or he expresses something about a surprising fact with respect to her or his background knowledge. But there are different kinds of mirativity markers. Some of them are simple and direct and others, more complex, involve inferential processes. Here, we focus on complex mirativity and we compare it with inferred evidentials and deferred realizations. Our proposal goes beyond the purely linguistic analysis, since we try to interpret mirativity, and its role in interaction, as forming part of or involving a particular kind of inference, namely abduction. Mirativity can be used to express the surprising state that triggers an abductive reasoning but it can also encapsulate its result in such a way that it can be understood in relation to evidentiality. Thus, at least in some cases of complex mirativity, mirativity may convey indication about the source of information. Interesting for studies on dialogue is that they also indicate the degree of commitment of the speakers with the content of their own utterances.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 107,826

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Evidentiality.A. I︠U︡ Aĭkhenvalʹd - 2004 - New York: Oxford University Press.

Analytics

Added to PP
2022-03-09

Downloads
34 (#794,346)

6 months
5 (#1,069,775)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Cristina Barés Gómez
Universidad de Sevilla
Matthieu Fontaine
Universidade de Lisboa

References found in this work

No references found.

Add more references