15.3589, Confs: Update: Ling Theories/Oakland, CA, USA

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LINGUIST List: Vol-15-3589. Thu Dec 23 2004. ISSN: 1068 - 4875.

Subject: 15.3589, Confs: Update: Ling Theories/Oakland, CA, USA

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1)
Date: 23-Dec-2004
From: Susanne Gahl < gahl at osgood.cogsci.uiuc.edu >
Subject: Exemplar-Based Models in Linguistics


-------------------------Message 1 ----------------------------------
Date: Thu, 23 Dec 2004 20:01:28
From: Susanne Gahl < gahl at osgood.cogsci.uiuc.edu >
Subject: Exemplar-Based Models in Linguistics


Exemplar-Based Models in Linguistics

Date: 09-Jan-2005 - 09-Jan-2005
Location: LSA Annual Meeting, Oakland, CA, United States of America
Contact: Alan Yu
Contact Email: aclyu at uchicago.edu
Meeting URL: http://washo.uchicago.edu/symposium.html

Linguistic Field(s): General Linguistics; Linguistic Theories

Meeting Description:

Please note that there has been a change in the program for the symposium on
exemplar-based models in Linguistics to be held at the 2005 LSA meeting. The
panelists are Rens Bod, Mirjam Ernestus, Chris Johnson, Chris Manning, Janet
Pierrehumbert, and Andy Wedel. The talks by Allard Jongman and Stephen Goldinger
have been canceled. The updated schedule will be posted soon on the website for
the symposium, at http://washo.uchicago.edu/symposium.html

This symposium focuses on exemplar-based models of linguistic representations
and language processing. Exemplar-based models conceive of linguistic
representations as consisting in or being directly shaped by speakers' memories
of specific tokens of linguistic items. Such models have long been considered in
psychological research, and are being considered in Linguistics by a growing
number of researchers in such disparate areas as phonetics and phonology (e.g.
Johnson, 1997, Pierrehumbert, 2002 and elsewhere), morphology (e.g. Bybee,
2001), syntax (e.g. Bod, 2001), and language acquisition (e.g. Tomasello, 2000).
 Shared strengths of such models lie in their ability to model gradient and
highly variable phenomena, and in their readiness to utilize data-rich
resources, such as large and/or detailed corpus-based databases. Shared
challenges lie in the need to account for speakers' ability to generalize, i.e.
to learn and apply abstract patterns - those facts that inspired the notion of
'infinite generative capacity'.

The main purpose of this 3-hour long symposium is to showcase state-of-the-art
work on exemplar-based models at multiple levels of linguistic representation:
segmental, word-level, and phrase-level. A second purpose is to bring into focus
challenges to research on exemplar-based models.





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