28.1555, Calls: Comp Ling, Gen Ling, Lang Acquisition, Ling Theories/UK

[The LINGUIST List]

LINGUIST List: Vol-28-1555. Wed Mar 29 2017. ISSN: 1069 - 4875.

Subject: 28.1555, Calls: Comp Ling, Gen Ling, Lang Acquisition, Ling Theories/UK

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Date: Wed, 29 Mar 2017 10:44:20
From: Laura Bailey [l.r.bailey at kent.ac.uk]
Subject: Workshop on Synthesising Approaches to Language Learning and Adaptation

 
Full Title: Workshop on Synthesising Approaches to Language Learning and Adaptation 

Date: 05-Sep-2017 - 05-Sep-2017
Location: Canterbury, Kent, United Kingdom 
Contact Person: Laura Bailey
Meeting Email: l.r.bailey at kent.ac.uk

Linguistic Field(s): Computational Linguistics; General Linguistics; Language Acquisition; Linguistic Theories 

Call Deadline: 28-May-2017 

Meeting Description:

For at least the last couple of decades, researchers working in the areas of
language acquisition, learning, and learnability have been drawing from
insights from both the parameter-setting and statistical learning literatures
— approaches to language acquisition that at one time were seen as
diametrically opposed to each other. Such ‘synthesis’ approaches (Yang 2004;
Bonnati et al. 2005; Goldwater et al. 2009; Feldman et al. 2009; Frank &
Tenenbaum 2010; Pearl 2011; Perfors et al. 2011; Lidz & Gagliardi 2015; among
many others) have often also involved reconceptualising the problem of
language acquisition (e.g. as a rational inference problem) or broadening the
question to include all varieties of language learning  (e.g. second language
learning, multilingualism) and attrition, adaptation in adult language, or
language change. This workshop brings together researchers with a range of
perspectives to comment on how the problems, methods, and answers look
different today than they did a few decades ago.

Invited speakers: 
Ansgar Endress (City University London)
Nina Kazanina (Bristol)
Mits Ota (Edinburgh) 
 
References: 
Bonatti, Peña, Nespor & Mehler 2005. Linguistic Constraints on Statistical
Computations
The Role of Consonants and Vowels in Continuous Speech Processing.
Psychological Science 16(6).
Feldman, Griffiths & Morgan 2009. The influence of categories on perception:
Explaining the perceptual magnet effect as optimal statistical inference.
Psychological Review, 116(4), 752-782.
Frank & Tenenbaum 2010. Three ideal observer models for rule learning in
simple languages. Cognition 120:360–71.
Goldwater, Griffiths & Johnson 2009. A Bayesian framework for word
segmentation:
Exploring the effects of context. Cognition, 112(1), 21–54.
Lidz & Gagliardi 2015. How Nature Meets Nurture: Universal Grammar and
Statistical Learning. Annual Review of Linguistics, 1(1):333–352.
Pearl 2011. When unbiased probabilistic learning is not enough: Acquiring a
parametric system of metrical phonology. Language Acquisition, 18(2):87–120.
Perfors, Tenenbaum & Regier 2011. The learnability of abstract syntactic
principles.
Cognition, 118(3), 306–338.
Yang 2004. Universal Grammar, statistics or both? TRENDS in Cognitive Sciences
8(10).


Call for Papers:

We invite submissions for papers that bring together these different
approaches to language learning for a special workshop at the LAGB annual
meeting at the University of Kent in Canterbury. 

- Talks will be 20+10 minutes long and the workshop will be held on Tuesday
5th September. 
- Abstracts should be anonymous, no longer than 2 A4 pages in length (size 12,
Times New Roman, 2.5cm margins, including references). 
- Email abstracts to l.r.bailey at kent.ac.uk with your name and affiliation in
the body of the email. 
- You may submit at most one solo-authored and one co-authored abstract.
- Deadline for submission: Sunday 28 May 2017




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