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

Assessing the proper difficulty levels of reading materials or texts ingeneral is the first step towards effective comprehension and learning. In thisstudy, we improve the conventional methodology of automatic readabilityassessment by incorporating the Word Mover's Distance (WMD) of ranked texts asan additional post-processing technique to further ground the difficulty levelgiven by a model. Results of our experiments on three multilingual datasets inFilipino, German, and English show that the post-processing techniqueoutperforms previous vanilla and ranking-based models using SVM.

A Simple Post-Processing Technique for Improving Readability Assessment of Texts using Word Mover's Distance