Content reuse from translation memory leverage, providing lower translation
costs.
After initial segmentation,
the system checks the existing translation memory to see if any of
the translatable segments already exist for the given target language.
Perfect, or 100%, matches are automatically leveraged and applied
to the translatable content. Of these perfect matches, some are also
In-Context Exact, or ICE, matches. These matches appear in the same
contextual order in the translation memory as they do in the translatable
content and therefore do not need to be reviewed by a translator.
Over time, as translation memory grows at the completion of every
project, more and more matches will be found during the leverage process,
driving down the overall cost of translation.
WorldServer solves
the problem of including not just changed content for a translator,
but also the surrounding content to give the translator context. With
a mature translation memory, when you send content out for translation,
you don't have to worry about hiding content from the translator,
since the content that has not changed will be automatically translated,
leaving only the changed content—in context—to be translated. The
translators can look at as much context as they want without you having
to worry about paying more.