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

Code-mixed machine translation has become an important task in multilingualcommunities and extending the task of machine translation to code mixed datahas become a common task for these languages. In the shared tasks of WMT 2022,we try to tackle the same for both English + Hindi to Hinglish and Hinglish toEnglish. The first task dealt with both Roman and Devanagari script as we hadmonolingual data in both English and Hindi whereas the second task only haddata in Roman script. To our knowledge, we achieved one of the top ROUGE-L andWER scores for the first task of Monolingual to Code-Mixed machine translation.In this paper, we discuss the use of mBART with some special pre-processing andpost-processing (transliteration from Devanagari to Roman) for the first taskin detail and the experiments that we performed for the second task oftranslating code-mixed Hinglish to monolingual English.

Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data