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

Gesture typing is a method of typing words on a touch-based keyboard bycreating a continuous trace passing through the relevant keys. This work isaimed at developing a keyboard that supports gesture typing in Indic languages.We begin by noting that when dealing with Indic languages, one needs to caterto two different sets of users: (i) users who prefer to type in the nativeIndic script (Devanagari, Bengali, etc.) and (ii) users who prefer to type inthe English script but want the output transliterated into the native script.In both cases, we need a model that takes a trace as input and maps it to theintended word. To enable the development of these models, we create and releasetwo datasets. First, we create a dataset containing keyboard traces for 193,658words from 7 Indic languages. Second, we curate 104,412 English-Indictransliteration pairs from Wikidata across these languages. Using thesedatasets we build a model that performs path decoding, transliteration, andtransliteration correction. Unlike prior approaches, our proposed model doesnot make co-character independence assumptions during decoding. The overallaccuracy of our model across the 7 languages varies from 70-95%.

Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages