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 .. Read more 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. We are inviting experimental, computational or theoretical abstracts on any topic in error-driven learning of speech or language.
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