Short-term memory and working memory are two distinct concepts that have been measured in simple and complex span tasks respectively. A new span task was designed to manipulate a chunking factor while using a procedure similar to simple span tasks. This span task allowed studying the interaction between storage and processing in working memory, when processing is fully dedicated to optimizing s...

Speech translation systems commonly couple automatic speech recognition (ASR) and machine translation (MT) components. Hereby the automatic segmentation of the ASR output for the subsequent MT is critical for the overall performance. In simultaneous translation systems, which require a continuous output with a low latency, chunking of the ASR output into translatable segments is even more criti...

In this paper we propose a technique called storage-aware spatial prefetching that can provide significant performance improvements for out-of-core visualization. This approach is motivated by file chunking in which a multidimensional data file is reorganized into multidimensional sub-blocks that are stored linearly in the file. This increases the likelihood that data close in the n-dimensional...

Caching is widely used to reduce network traffic and improve user experience. Traditionally caches store complete objects, but video files and the recent emergence of informationcentric networking have highlighted a need for understanding how partial caching could be beneficial. In partial caching, objects are divided into chunks which are cached either independently or by exploiting common pro...

chunking contains seven different elements: x, z, (xz), t, p, q, and (pq). The reason to count all different elements in the abstract chunking that results from a code is twofold. First, the number of different symbols in the abstract chunking equals the number of pattern symbols in the code and can therefore be said to reflect the amount of irregularity (residual nonidentity) in the code (cf. ...

A new statistical method called “bilingual chunking” for structure alignment is proposed. Different with the existing approaches which align hierarchical structures like sub-trees, our method conducts alignment on chunks. The alignment is finished through a simultaneous bilingual chunking algorithm. Using the constrains of chunk correspondence between source language (SL)1 and target language (...

This paper presents a rule-based chunking approach. Rule-based method does well in analyzing the structure of natural language. In order to avoid the confliction of the rules, we extract a small scale chunking rule set for chunking first. Then we define more rules to check and correct the inconsistency phenomena. We also adopt man-machine interaction method to solve some special language phenom...

Chunking models offer a parsimonious explanation of how people acquire knowledge and have been validated in domains such as expert behaviour and the acquisition of language. In this paper, we review two computational theories based on chunking mechanisms (the chunking theory and the template theory) and show what insight they offer for instruction and training. The suggested implications includ...

Part-of-speech (POS) tagging and chunking have been used in tasks targeting learner English; however, to the best our knowledge, few studies have evaluated their performance and no studies have revealed the causes of POStagging/chunking errors in detail. Therefore, we investigate performance and analyze the causes of failure. We focus on spelling errors that occur frequently in learner English....

Free text notes typed by primary care physicians during patient consultations typically contain highly non-canonical language. Shallow syntactic analysis of free text notes can help to reveal valuable information for the study of disease and treatment. We present an exploratory study into chunking such text using offthe-shelf language processing tools and pre-trained statistical models. We eval...