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

Tue Feb 1 06:47:56 UTC 2022

LINGUIST List: Vol-33-374. Tue Feb 01 2022. ISSN: 1069 - 4875.

Subject: 33.374, Calls: Cog Sci, Comp Ling, Gen Ling, Lang Acquisition, Psycholing/Germany

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Date: Tue, 01 Feb 2022 01:47:16
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: 18-Apr-2022 

Meeting Description:

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 Papers:

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, 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

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LINGUIST List: Vol-33-374	
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