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/

Zendy Plus

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

Zendy Tools

Zendy Open

In this paper we present the Widrow-Hoff rule and its applications tolanguage data. After contextualizing the rule historically and placing it inthe chain of neurally inspired artificial learning models, we explain itsrationale and implementational considerations. Using a number of case studieswe illustrate how the Widrow-Hoff rule offers unexpected opportunities for thecomputational simulation of a range of language phenomena that make it possibleto approach old problems from a novel perspective.

Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences