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/

Zendy Plus

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

Zendy Tools

Zendy Open

We present ParaBank, a large-scale English paraphrase dataset that surpassesprior work in both quantity and quality. Following the approach of ParaNMT, wetrain a Czech-English neural machine translation (NMT) system to generate novelparaphrases of English reference sentences. By adding lexical constraints tothe NMT decoding procedure, however, we are able to produce multiplehigh-quality sentential paraphrases per source sentence, yielding an Englishparaphrase resource with more than 4 billion generated tokens and exhibitinggreater lexical diversity. Using human judgments, we also demonstrate thatParaBank's paraphrases improve over ParaNMT on both semantic similarity andfluency. Finally, we use ParaBank to train a monolingual NMT model with thesame support for lexically-constrained decoding for sentence rewriting tasks.

ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation