31.3013, Calls: Cog Sci, Comp Ling, Gen Ling, Lang Acq, Psycholing/Online

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LINGUIST List: Vol-31-3013. Mon Oct 05 2020. ISSN: 1069 - 4875.

Subject: 31.3013, Calls: Cog Sci, Comp Ling, Gen Ling, Lang Acq, Psycholing/Online

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Date: Mon, 05 Oct 2020 16:10:43
From: Jessie Nixon [jessie.nixon at uni-tuebingen.de]
Subject: International Conference on Error-Driven Learning in Language

 
Full Title: International Conference on Error-Driven Learning in Language 
Short Title: EDLL 2021 

Date: 10-Mar-2021 - 12-Mar-2021
Location: Tübingen / Online, Germany 
Contact Person: Jessie Nixon
Meeting Email: jessie.nixon at uni-tuebingen.de
Web Site: https://quantling.org/EDLL2021/ 

Linguistic Field(s): Cognitive Science; Computational Linguistics; General Linguistics; Language Acquisition; Psycholinguistics 

Call Deadline: 07-Dec-2020 

Meeting Description:

Error-driven learning models, such as Rescorla and Wagner (1972) and Widrow
and Hoff (1960) have had a major influence on many areas of psychology related
to human and animal learning. However, research on language learning took a
separate path for a long time. Recently, insights from error-driven learning
have begun to be applied to a broad range of language phenomena with very
promising results. For example, error-driven learning models have addressed
questions relating to reading, spoken word comprehension, colour and number
acquisition, word learning, first and second language speech sound
acquisition, morphological processing, sentence processing, neural correlates
of prediction error and more.

The International Conference on Error-Driven Learning in Language (EDLL 2021)
aims to bring together researchers interested in error-driven learning in
speech and language. The conference will be held online 10-12 March, 2021.


Call for Papers: 

We are inviting experimental, computational or theoretical abstracts on any
topic in error-driven learning of speech or language. Suitable topics include
but are not limited to:
The role of error in
 - first and second language acquisition
 - learning or processing phonetic, morphological, syntactical or lexical
information
 - sentence processing, syntax and grammar acquisition and processing
as well as
 - neural processing of error feedback during speech and language
comprehension, production or learning
 - the relationship between error-driven learning and information theory
 - comparison of error-driven learning with different learning models such as
Hebbian learning, statistical learning, Bayesian learning, distributional
learning.

Submission guidelines:
Please submit your anonymous abstracts to
https://easychair.org/conferences/?conf=edll2021

Abstracts should be written in English and be no more than one page of text,
with an optional second page for tables, figures and references. Please use 11
point Arial font for the whole abstract, including the title. 

We will publish abstracts in an online proceedings. Authors will retain
copyright.

Invited speakers:
We are pleased to announce that the following speakers have confirmed:
Prof Adele Goldberg, Princeton University
Prof Randall O’Reilly, University of California, Davis
Dr Petar Milin, University of Birmingham

Important dates:
Abstracts due:  7 December, 2020
Notification of acceptance sent: 8 February, 2021
Conference: 10-12 March, 2021.

Registration:
There will be no registration fee. Participation is free. However,
participants will be required to register. Registration information to follow.

Programme committee: 
Jessie Nixon
Elnaz Shafaei-Bajestan
Harald Baayen

For inquiries contact:
jessie.nixon at uni-tuebingen.de
elnaz.shafaei-bajestan at uni-tuebingen.de




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