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Adult comprehenders differ in language-specific skills involved in processing words, sentences, and extended discourse. Skilled adult comprehenders also differ in general abilities, such as the ability to flexibly allocate attention, to suppress or inhibit irrelevant or distracting information, in overall processing speed, and in working memory capacity (WMC). Working memory is conceptualized as a cognitive organ in which information is kept in a readily accessible form and manipulated as needed. Some theories of language comprehension claim that working memory is the core ability that determines why some individuals process language more efficiently and effectively than others. This explains why working memory tasks correlate with measures of comprehension ability and overall verbal ability, whereas short-term memory tasks do not. This entry outlines three approaches to working memory that explain why differences in WMC can lead to differences in language comprehension ability. It also reviews evidence suggesting that WMC relates to comprehension ability in skilled adults only by virtue of its relations to other reader characteristics. Because of space limitations, it does not review WMC contributions to language production processes.

How is WMC Measured?

To understand language, comprehenders must undertake multiple related processes, including lexical access, syntactic parsing, and contextual integration. As these processes are unfolding, readers must maintain their comprehension goals, information extracted from the text, world knowledge, and the partial products of interpretive processes. Working memory supports each of these functions. Working memory resembles short-term memory, which also keeps information temporarily active. Working memory differs from short-term memory because it entails both storage and processing. Working memory also includes executive processes that regulate and control task-relevant information.

Working memory is uncontroversially a limited capacity system, but different theories make different claims about the factors responsible for capacity limitations. These factors may include limitations on the amount of activation, similarity-based interference, processing speed, encoding and retrieval problems, and the ability to inhibit irrelevant information.

Variation in WMC has been shown to correlate with performance on a range of cognitive tasks, including language comprehension. Complex language-processing tasks place the greatest demands on working memory and so offer the opportunity to observe differences in performance across individuals who differ in WMC. Complex tasks involve multiple component processes, however, which complicates the interpretation of any observed correlations between WMC and task performance.

WMC measures assess an individual's ability to keep information activated while undertaking a task that prevents rehearsal. Reading span is often used to measure WMC. In this task, participants read aloud a set of sentences, presented one at a time. They recall the final word of each sentence after reading the entire set. Reading span is the largest set size for which a reader recalls all the sentence-final words. Reading span correlates with the verbal Scholastic Aptitude Test (SAT) (about .5) and the ability to answer questions about a text (about .8). When reading span and text complexity are used to predict reading times, they interact. Differences between high- and low-capacity comprehenders increase as text complexity increases. However, reading span does not correlate with short-term memory tasks, such as digit span.

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