The Delta Principle in technical editing
Industrial production processes are becoming fast everyday. As a result, global markets have placed increasing demands on technical editing. Particularly in the case of product families or product variants, technical editors are often tasked with recrafting nearly identical or similar content from earlier documents. Manually similar portions of text into the current document by cutting and pasting is conducive to errors as well as time-consuming. The solution lies in an editing process that guides the editor, continuously delivering text suggestions from previous documents. The leveraging concept behind the STAR Delta Principle allows the editor to concentrate on crafting descriptions for new processes and product components.
MindReader – the STAR solution
STAR MindReader allows technical editors direct access to reference material in the Transit translation memory. This supports the leveraging of existing sentences, paragraphs or chapters in the writing process. Consistent use of the system significantly reduces the volume of manually-produced, re-translated text.
STAR MindReader is the only authoring support solution that provides contextual reference in every situation. In systems that provide authoring support by accessing sentence-based translation memory databases, sentences containing the same words but differing in context are inevitably linked, leading to faulty translations. These may go unnoticed by the author if he or she lacks the necessary language skills to do so.
The financial benefits of using MindReader multiply based on the number of target languages, often greatly surpassing editing budgets while increasing consistency and text quality. Through the consistent use of MindReader and the TermStar terminology component, your corporate language can be optimized. More »
STAR MindReader provides the following key benefits:
Re-use of existing text segments
The editor can accept suggested text from previous documents with a simple keystroke. More »
Text suggestions in context
In a feature unique to MindReader, suggested text is shown in its original context. More »
Terminology support through TermStar
As a built-in terminology database system, TermStar displays terminology entries that relate to text suggestions. More »
Every aspect of the editing process is optimized
MindReader offers simplification, increased consistency, clarity and cost reductions. More »
