33.1367, Calls: Cog Sci, Comp Ling, Gen Ling, Lang Acquisition, Psycholing/Germany

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LINGUIST List: Vol-33-1367. Fri Apr 15 2022. ISSN: 1069 - 4875.

Subject: 33.1367, Calls: Cog Sci, Comp Ling, Gen Ling, Lang Acquisition, Psycholing/Germany

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Date: Fri, 15 Apr 2022 21:51:19
From: Jessie Nixon [jessie.nixon at uni-tuebingen.de]
Subject: Second International Conference on Error-Driven Learning in Language

 
Full Title: Second International Conference on Error-Driven Learning in Language 
Short Title: EDLL 2022 

Date: 01-Aug-2022 - 03-Aug-2022
Location: Tübingen/Online, Germany 
Contact Person: Jessie Nixon
Meeting Email: jessie.nixon at uni-tuebingen.de
Web Site: https://easychair.org/conferences/?conf=edll2022 

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

Call Deadline: 25-Apr-2022 

Meeting Description:

On the 50th Anniversary of the Rescorla-Wagner equations and after the success
of the first EDLL (2021) conference last year, we’re pleased to announce that
the Second International Conference on Error-Driven Learning in Language (EDLL
2022) will take place this year.  Due to continued uncertainty regarding
travel restrictions, the conference will be held online. The conference will
take place from the 1st-3rd of August, 2022.

The Second International Conference on Error-Driven Learning in Language (EDLL
2022) aims to bring together researchers interested in error-driven learning
in speech and language. We would also be interested in submissions from
neighbouring fields, such as implicit learning and statistical learning,
especially if a connection can be made to error-driven learning. Work in
progress is also welcome.

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 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.

Keynote speakers:
We are excited to announce our fantastic line up of Keynote speakers:
Prof Peter Dayan, Max Planck Institute for Biological Cybernetics
Dr Elizabeth Wonnacott, University of Oxford
Prof Padraic Monaghan, University of Lancaster and University of Amsterdam
Dr Jacolien van Rij, University of Groningen


Final Call for Papers:

Deadline Extension!

Dear all,

we've realised we inadvertently set the original submission deadline for
Easter Monday. So we are extending the deadline by one week to Monday, 25th of
April.

Call for abstracts:
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 prediction error in
- first and second language acquisition
- learning or processing phonetic, morphological, syntactic 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
- learning models such as implicit learning, Hebbian learning, statistical
learning, Bayesian learning or distributional learning, especially if a
connection can be made to error-driven learning.

Important dates:
Abstracts due:  25 April, 2022
Notification of acceptance sent: 17 June, 2022
Revised abstracts due: 1 July, 2022
Conference: 1-3 August, 2022.

Registration:
Participation is free. However, participants will be required to register.
Registration information to follow.

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

Submission guidelines:
Anonymous abstracts should be submitted to EasyChair at the following link
https://easychair.org/conferences/?conf=edll2022.
Abstracts should be written in English and be no more than one page of text,
single line spacing, with an optional second page for tables, figures and
references. Please see EasyChair link for details.

Programme committee
Jessie Nixon
Fabian Tomaschek
Harald Baayen

For inquiries contact:
jessie.nixon at uni-tuebingen.de
fabian.tomaschek at uni-tuebingen.de




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