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Statistical Learning and Language: An Individual Differences Study
Although statistical learning and language have been assumed to be intertwined, this theoretical presupposition has rarely been tested empirically. The present study investigates the relationship…
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On-Line Individual Differences in Statistical Learning Predict Language Processing
TLDR
The findings suggest that individual differences in the ability to learn from experience through statistical learning may contribute to variations in linguistic performance.
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Unwritten rules: virtual bargaining underpins social interaction, culture, and society
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Virtual bargaining: a theory of social decision-making
TLDR
In the first empirical data of how individuals play the Boobytrap game, participants' experimental choices accord well with a virtual bargaining perspective, but do not match predictions from a standard Nash account.
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Sequential Expectations: The Role of Prediction-Based Learning in Language
TLDR
Individual differences in prediction performances are shown to strongly correlate with participants' sentence processing of complex, long-distance dependencies in natural language.
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Statistical learning of probabilistic nonadjacent dependencies by multiple-cue integration
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Extending Statistical Learning Farther and Further: Long-Distance Dependencies, and Individual Differences in Statistical Learning and Language
TLDR
Two experiments support the thesis that SL may overlap with mechanisms for language, while raising questions as to the singularity or duality of such underlying mechanism(s), and probe the degree to which SL and language may be empirically linked.
Reading Span Task Performance, Linguistic Experience, and the Processing of Unexpected Syntactic Events
TLDR
It is demonstrated that reading span scores correlate significantly with measures of the amount of experience an individual has had with written language (gauged by measures that provide “proxy estimates” of print exposure), and that individuals with higher reading spans demonstrated greater sensitivity to violations of statistical regularities found in natural language.
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Statistical Learning of Nonadjacencies Predicts On-line Processing of Long-Distance Dependencies in Natural Language
TLDR
A new paradigm that directly instantiates an artificial language within an adapted SRT task is introduced, designed for the briefer exposure periods prototypic of many AGL studies and flexibly accommodates the use of linguistic stimuli-tokens and auditory cues.
Instantaneous Conventions : The Emergence of Flexible Communicative Signals
Humans can communicate even with few existing conventions in common (e.g., when they lack a shared language). We explored what makes this phenomenon possible with a nonlinguistic experimental task…
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