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

Neural machine translation (NMT) has set new quality standards in automatictranslation, yet its effect on post-editing productivity is still pendingthorough investigation. We empirically test how the inclusion of NMT, inaddition to domain-specific translation memories and termbases, impacts speedand quality in professional translation of financial texts. We find that evenwith language pairs that have received little attention in research settingsand small amounts of in-domain data for system adaptation, NMT post-editingallows for substantial time savings and leads to equal or slightly betterquality.

Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain