Statistically Based Chunking of Nonadjacent Dependencies

Statistically based chunking of nonadjacent dependencies - PubMed

We show how learning and generalization in language is embedded in these broader theories by testing learners on their ability to chunk nonadjacent ...

Statistically Based Chunking of Nonadjacent Dependencies - PMC

Productivity occurs when learners insert a novel word or multiword chunk into the empty slot of the frame (e.g., I want this, I want to go home) ...

Statistically Based Chunking of Nonadjacent Dependencies

Request PDF | Statistically Based Chunking of Nonadjacent Dependencies | How individuals learn complex regularities in the environment and ...

(PDF) Statistically based chunking of nonadjacent dependencies

We hypothesized that chunking – which has been shown to account for the statistical learning of adjacent dependencies (Isbilen, McCauley, Kidd & Christiansen, ...

'Chunking of non-adjacent dependencies: Revisiting phantom words ...

Our question is whether participants can in fact chunk non-adjacent patterns, and whether a more sensitive measure of statistical learning, the statistically- ...

Comparing processing- and reflection-based measures of learning

statistical-chunking processes may be able to account for the segmentation and generalization of non-adjacent dependencies, as well as that of sequential ...

Statistically based chunking of nonadjacent dependencies.

Dive into the research topics of 'Statistically based chunking of nonadjacent dependencies.'. Together they form a unique fingerprint. Sort by; Weight ...

Statistically Induced Chunking Recall: A Memory‐Based Approach ...

Behaviorally, our results from using SICR to measure the statistical learning of non-adjacent dependencies demonstrate that chunking can also capture the.

Statistically Induced Chunking Recall: A Memory‐Based Approach ...

The computations involved in statistical learning have long been debated. Here, we build on work suggesting that a basic memory process, ...

Non-adjacent dependency learning in infancy, and its link to ...

... statistical segmentation of non-adjacent dependencies. These data indicate ... Chunk-based computations in learning and generalizing statistical structure.

Statistical and Chunking Processes in Adults' Visual Sequence ...

10 Citations ; Statistically Based Chunking of Nonadjacent Dependencies · Erin S. IsbilenRebecca L. A. FrostP. MonaghanMorten H. Christiansen. Linguistics.

The Developmental Trajectory of Nonadjacent Dependency Learning

... In Study 1, monolingual and bilingual children were tested on two auditory statistical learning tasks involving non-adjacent dependency patterns: one in ...

Statistical learning of probabilistic nonadjacent dependencies by ...

Implicitly learning more than chunks. Journal ... An attention-based associative account of adjacent and nonadjacent dependency learning.

Spike-based statistical learning explains human performance in non ...

The computation of non-adjacent dependencies (NADs) is important for understanding sentences, such as, “The scientists who revealed the brain's ...

Statistically Induced Chunking Recall: A Memory-Based Approach to ...

Statistically based chunking of nonadjacent dependencies. · Linguistics. Journal of experimental psychology. General · 2022.

Children's Learning of Non-adjacent Dependencies Using a Web ...

Isbilen, E. S., McCauley, S. M., Kidd, E., and Christiansen, M. H. (2017). “Testing statistical learning implicitly: A novel chunk-based measure of statistical ...

Statistical learning as chunking: Domain general computations in ...

The second paper extends these findings by showing how chunking can also account for the statistical learning and generalization of non-adjacent dependencies, a ...

Publications | Max Planck Institute

Isbilen, E. S., Frost, R. L. A., Monaghan, P., & Christiansen, M. H. (2022). Statistically based chunking of nonadjacent dependencies. Journal of Experimental ...

Infants represent visual sequences in terms of chunks - ScienceDirect

The general feature separating chunking from statistical models is that chunking models do represent statistically coherent units of information in memory. The ...

Auditory statistical learning in children: Novel insights from an online ...

A particular type of statistical learning is nonadjacent dependency ... Testing statistical learning implicitly: A novel chunk-based measure of ...