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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We show that metrics derived from recording gaze while reading, are better proxies for machine translation quality than automated metrics. With reliable eyetracking technologies becoming available for home computers and mobile devices, such metrics are readily available even in the absence of representative held-out human translations. In other words, readingderived MT metrics offer a way of getting cheap, online feedback for MT system adaptation.

Reading metrics for estimating task efficiency with MT output