English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The present study uses a computational approach to examine the role ofsemantic constraints in normal reading. This methodology avoids confoundsinherent in conventional measures of predictability, allowing for theoreticallydeeper accounts of semantic processing. We start from a definition ofassociations between words based on the significant log likelihood that twowords co-occur frequently together in the sentences of a large text corpus.Direct associations between stimulus words were controlled, and semanticfeature overlap between prime and target words was manipulated by their commonassociates. The stimuli consisted of sentences of the form pronoun, verb,article, adjective and noun, followed by a series of closed class words, e. g."She rides the grey elephant on one of her many exploratory voyages". Theresults showed that verb-noun overlap reduces single and first fixationdurations of the target noun and adjective-noun overlap reduces go-pastdurations. A dynamic spreading of activation account suggests that associatesof the prime words take some time to become activated: The verb can act on thetarget noun's early eye-movement measures presented three words later, whilethe adjective is presented immediately prior to the target, which inducessentence re-examination after a difficult adjective-noun semantic integration.

Decomposing predictability: Semantic feature overlap between words and the dynamics of reading for meaning