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

Sign language translation systems are complex and require many components. Asa result, it is very hard to compare methods across publications. We present anopen-source implementation of a text-to-gloss-to-pose-to-video pipelineapproach, demonstrating conversion from German to Swiss German Sign Language,French to French Sign Language of Switzerland, and Italian to Italian SignLanguage of Switzerland. We propose three different components for thetext-to-gloss translation: a lemmatizer, a rule-based word reordering anddropping component, and a neural machine translation system. Gloss-to-poseconversion occurs using data from a lexicon for three different signedlanguages, with skeletal poses extracted from videos. To generate a sentence,the text-to-gloss system is first run, and the pose representations of theresulting signs are stitched together.

An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation