[Corpora-List] Cognition and Language Workshop (CLaW): Aug 31-Sept 1

Heather Simpson hsimpson at umail.ucsb.edu
Sat Aug 10 21:15:36 CEST 2013

*Cognition and Language Workshop: Conference schedule*

**University of California, Santa Barbara, August 31-September 1 2013**

The schedule for the Cognition and Language Workshop (CLaW) is now available: http://www.linguistics.ucsb.edu/claw/schedule.html

CLaW will feature 13 talks and 6 poster presentations, as well as a keynote address from Luca Onnis (Associate Professor at University of Hawaii at Manoa) on topics relevant to language and cognition from empirical data-driven perspectives. CLaW is organized by SCUL (Studying the Cognitive Underpinnings of Language), an interdisciplinary research group at the University of California, Santa Barbara. See below for the keynote address abstract.

If you would like to attend, please email claw.ucsb at gmail.com to register! There is a $10 registration fee, payable on site.

--------------------------------------- Abstract for keynote address:

Language is a complex ability comprised of multiple component skills. A sizable body of research now suggests that language learning and processing could be subserved by statistical learning (SL) abilities — implicitly tracking distributional relations in sequences of events. Languages contain many probabilistic regularities (for example, a listener who hears "the" can predict that a noun will occur after it), so sensitivity to statistical structure in the input can play an important role in mastering language.

The first generation of SL studies provided important proofs of concept' that infants and adults can track statistical relations in miniature artificial grammars, but the arguably simplified nature of these learning scenarios could only offer indirect evidence that the same processes underlie the discovery of a natural language. Recently, however, a series of new studies have established more robust links between SL abilities and language. In addition, this relationship can go both ways, as language experience can modify individual preferences for statistical learning, potentially affecting subsequent learning. I will provide an overview of how corpus analyses, behavioral, and brain imaging methods can be combined to further strengthen our understanding of the underpinnings of statistical language learning.

--------------------------------------- ****************************************************** Heather Simpson Ph.D. Candidate, Department of Linguistics Program Manager, Cognitive Science Program University of California, Santa Barbara hsimpson at umail.ucsb.edu -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 3039 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20130810/1a605111/attachment.txt>

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