Journal article
Sequential Expectations: The Role of Prediction‐Based Learning in Language
Topics in cognitive science, Vol.2(1), pp.138-153
01/2010
DOI: 10.1111/j.1756-8765.2009.01072.x
PMID: 25163627
Abstract
Prediction‐based processes appear to play an important role in language. Few studies, however, have sought to test the relationship within individuals between prediction learning and natural language processing. This paper builds upon existing statistical learning work using a novel paradigm for studying the on‐line learning of predictive dependencies. Within this paradigm, a new “prediction task” is introduced that provides a sensitive index of individual differences for developing probabilistic sequential expectations. Across three interrelated experiments, the prediction task and results thereof are used to bridge knowledge of the empirical relation between statistical learning and language within the context of nonadjacency processing. We first chart the trajectory for learning nonadjacencies, documenting individual differences in prediction learning. Subsequent simple recurrent network simulations then closely capture human performance patterns in the new paradigm. Finally, individual differences in prediction performances are shown to strongly correlate with participants’ sentence processing of complex, long‐distance dependencies in natural language.
Details
- Title: Subtitle
- Sequential Expectations: The Role of Prediction‐Based Learning in Language
- Creators
- Jennifer B MisyakMorten H ChristiansenJ Bruce Tomblin
- Resource Type
- Journal article
- Publication Details
- Topics in cognitive science, Vol.2(1), pp.138-153
- Publisher
- Blackwell Publishing Ltd; Oxford, UK
- DOI
- 10.1111/j.1756-8765.2009.01072.x
- PMID
- 25163627
- ISSN
- 1756-8757
- eISSN
- 1756-8765
- Number of pages
- 16
- Language
- English
- Date published
- 01/2010
- Academic Unit
- Communication Sciences and Disorders; Iowa Neuroscience Institute
- Record Identifier
- 9984070660102771
Metrics
13 Record Views