BACKGROUND Chunking is a powerful encoding strategy that significantly improves working memory performance in normal young people. AIMS To investigate chunking in patients with mild Alzheimer's disease and in a control group of elderly people without cognitive impairment. METHOD People with mild Alzheimer's disease (n = 28) were recruited and divided according to Mini-Mental State Examinati...

This paper presents an empirical work for Vietnamese NP chunking task. We show how to build an annotation corpus of NP chunking and how discriminative sequence models are trained using the corpus. Experiment results using 5 fold cross validation test show that discriminative sequence learning are well suitable for Vietnamese chunking. In addition, by empirical experiments we show that the part ...

Hierarchical control of skilled performance depends on chunking of several lower-level units into a single higher-level unit. The present study examined the relationship between chunking and recognition of trained materials in the context of typewriting. In 3 experiments, participants were trained with typing nonwords and were later tested on their recognition of the trained materials. In Exper...

Pioneering work in the 1940s and 1950s suggested that the concept of 'chunking' might be important in many processes of perception, learning and cognition in humans and animals. We summarize here the major sources of evidence for chunking mechanisms, and consider how such mechanisms have been implemented in computational models of the learning process. We distinguish two forms of chunking: the ...

Definition A chunk is meaningful unit of information built from smaller pieces of information, and chunking is the process of creating a new chunk. Thus, a chunk can be seen as a collection of elements that have strong associations with one another, but weak associations with elements belonging to other chunks. Chunks, which can be of different sizes, are used by memory systems and more general...

Chunking refers to a phenomenon whereby individuals group items together when performing a memory task to improve the performance of sequential memory. In this work, we build a bio-plausible hierarchical chunking of sequential memory (HCSM) model to explain why such improvement happens. We address this issue by linking hierarchical chunking with synaptic plasticity and neuromorphic engineering....

This paper presents a semantic spatial language grammar and a novel chunking method that allows nested structures to be encoded as a single label. The proposed semantic grammar, when used with a cognitive architecture described elsewhere, makes it possible for a mobile robot to follow complex, human-generated spatial descriptions for a fetch task. The semantic grammar is based on an interdiscip...