Meeting URL: https://quantling.org/EDLL2021/

Location: Online / Tübingen, Germany

Linguistic Field(s): Computational Linguistics; Psycholinguistics; General Linguistics

Meeting Description

International Conference on Error-Driven Learning in Language (EDLL 2021).

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.

Important Dates

• Abstracts due: 20 December, 2020 (midnight GMT-12, i.e., as long as it is 20th of December anywhere in the world)
• Notification of acceptance sent: 08 February, 2021
• Conference: 10-12 March, 2021.

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 single-spaced 11 point Arial font for the whole abstract, including the title.

List of Topics

We are inviting experimental, computation 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.

Invited Speakers

We are pleased to announce that the following speakers have confirmed:

• Prof. Adele Goldberg, University of Princeton
• Prof. Randall O’Reilly, University of California, Davis
• Dr. Petar Milin, University of Birmingham

Publication

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

Registration

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

Venue

The conference will be held online. Details will follow.

Program Committee

• Jessie Nixon
• Elnaz Shafaei-Bajestan
• Harald Baayen

Contact

All questions about submissions should be e-mailed to

• jessie.nixon@uni-tuebingen.de
• elnaz.shafaei-bajestan@uni-tuebingen.de