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Zeitschrift für Sprachwissenschaft

2 Issues per year


IMPACT FACTOR 2016: 0.250
5-year IMPACT FACTOR: 0.281

CiteScore 2016: 0.56

SCImago Journal Rank (SJR) 2015: 0.171
Source Normalized Impact per Paper (SNIP) 2015: 0.727

Open Access
Online
ISSN
1613-3706
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Volume 35, Issue 1 (Jun 2016)

Issues

Probabilistic pragmatics, or why Bayes’ rule is probably important for pragmatics

Michael Franke / Gerhard Jäger
Published Online: 2016-06-02 | DOI: https://doi.org/10.1515/zfs-2016-0002

Abstract

Probabilistic pragmatics aspires to explain certain regularities of language use and interpretation as behavior of speakers and listeners who want to satisfy their conversational interests in a context that may contain a substantial amount of uncertainty. This approach differs substantially from more familiar approaches in theoretical pragmatics. To set it apart, we here work out some of its key distinguishing features and show, by way of some simple examples, how probabilistic pragmatics instantiates these.

Keywords: pragmatic reasoning; context; experimental data; referential descriptions; scalar implicatures; speech acts

About the article

Published Online: 2016-06-02

Published in Print: 2016-06-01


Citation Information: Zeitschrift für Sprachwissenschaft, ISSN (Online) 1613-3706, ISSN (Print) 0721-9067, DOI: https://doi.org/10.1515/zfs-2016-0002.

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©2016 Walter de Gruyter, Berlin Boston. Copyright Clearance Center

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
Michael Franke, Judith Degen, and Philip Allen
PLOS ONE, 2016, Volume 11, Number 5, Page e0154854
[2]
Noah D. Goodman and Michael C. Frank
Trends in Cognitive Sciences, 2016, Volume 20, Number 11, Page 818

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