So you jumped on the automatization bandwagon and now want to run automatic Quality Assurance (QA) on translations.
The general approach to run automatic QA is to use:
QA tools normally work with bilingual (source and target) files. They help you to find:
To avoid false positives that these QA tools may generate, it’s highly recommended to create special configurations that would be used to automatically reduce the noise. For example, for Verifika it would be a quality profile per project/language.
Though some tools still provide QA reports in Excel sheets, the better way is to utilize the solutions which offer automatic updates of the segments being QAed – right from the report. Otherwise, it takes a lot of time to switch between working environments and implement all the needed changes into the working files.
Machine interpreting (MI) is a hot topic right now as technology providers boast their latest advances in this field. It is likely that the advent of MI will revolutionize the interpreting industry as we know it, similarly to how machine translation (MT) upended the translation industry and ushered in a new era for all stakeholders involved. So, now is the perfect opportunity to take a deep dive into the world of machine interpreting.
19 December 2022