Let’s Define the Right Scope for Hybrid Translation
Let’s review your content’s structure, volume and intended use to define the right MTPE scope and working model for your project.
Hybrid translation combines machine translation with expert human post-editing in a controlled workflow. Dilde uses this approach to balance efficiency and quality, particularly for high-volume, repetitive or time-sensitive content.
We assess the content’s structure, terminology demands, intended use and required quality level to determine where machine translation post-editing (MTPE) is appropriate. Before work begins, we agree on the working model, quality expectations and delivery requirements.
For suitable content types, machine translation post-editing can improve turnaround times and scalability. Dilde applies this model through structured project management and human oversight.
Supports efficient processing of large volumes of content within tight delivery schedules.
The hybrid model works particularly well with content that frequently repeats similar sentence structures and patterns.
Human post-editing maintains terminology consistency using approved glossaries, reference documents and style preferences.
Expert human editors check meaning, terminology, fluency and key quality requirements to prepare the content for delivery.
We plan each MTPE project around the content’s structure, terminology demands and intended use. A clearly defined scope, expert post-editing, terminology checks and quality-control steps support dependable delivery.
Let’s review your content’s structure, volume and intended use to define the right MTPE scope and working model for your project.
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