Researchers led by machine translation pioneer Philipp Koehn examine how interactive translation prediction compares to MT post-editing when powered by neural instead of statistical MT. Continue reading
The results of two post-editing of machine translation surveys shine a light on the opinions of practitioners (post-editors and LSPs) on post-editing. Continue reading
Machine translation (MT) trumps human translation when it comes to real-time and dynamic content at large scale, and SDL’s new report highlights the five most common use cases driving... Continue reading
Perfect domain name vs. WhatsApp-like user interface: how Translate.com and Stepes are trying to conquer the long tail of translation demand through crowdsourcing. Continue reading
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