[CogSci] Call for submissions: Second International Conference on Error-Driven Learning in Language (EDLL 2022)

[Jessie Nixon]

Research Fields: Cognitive Science; Computational Linguistics;  
Psycholinguistics; General Linguistics, Language acquisition

The Second International Conference on Error-Driven Learning in  
Language (EDLL 2022).

Meeting URL: https://quantling.org/EDLL2022/

Dates: 1-3 August, 2022


Dear all,

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, statistical learning and applied linguistics, 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 pleased to announce that the following Keynote speakers have confirmed:
Prof Peter Dayan, Max Planck Institute for Biological Cybernetics
Dr Elizabeth Wonnacott, University of Oxford
Prof Padraic Monaghan, Univerisity of Lancaster and University of Amsterdam


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, 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
* learning models such as Hebbian learning, statistical learning,  
Bayesian learning or distributional learning, especially if a  
connection can be made to error-driven learning.


Important dates:
Abstracts due:  18 April, 2022
Notification of acceptance sent: 10 June, 2022
Revised abstracts due: 1 July, 2022
Conference: 1-3 August, 2022.

Registration:
There will be no registration fee. 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. In order to produce cohesive formatting in the  
proceedings, we ask that authors use the following formating. Please  
use 11-point Arial or Helvetica font for the whole abstract, including  
the title. The titles should appear in bold font, centred and in  
sentence case (capitalize only the first letter of the first word and  
lower case elsewhere). For LaTeX users, you can use the package  
`helvet` or any other package that produces an Arial or Helvetica-like  
font.


Programme committee
Jessie Nixon
Fabian Tomaschek
Harald Baayen

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




-- 
Jessie Nixon, PhD
Quantitative Linguistics Lab
Eberhard Karls University of Tübingen
Office 3.29
Wilhelmstraße 19
72074 Tübingen, Germany
jessie.nixon at uni-tuebingen.de
www.jessienixon.net