SmartEdit
Workflow
Modern, AI-enhanced
cost-efficient workflow combining Al-generated
drafts with expert human
post-editing.

 

            


  

We specialize in translations for
Technical & Professional
Industrial, Automation, Safety 
Legal, Compliance, Business,
Medicine, Life Sciences

Communication & Content
Marketing, Catalogs,
Web Content, E-commerce,
E-learning, Subtitling,
Voice-over

Digital Products

Software, Apps, Video Games

For a free consultation,
we're here to help!

 

grafik, tasarım içeren bir resim AI draft with expert
    post-editing
grafik, tasarım içeren bir resim
 Prompt engineering
grafik, tasarım içeren bir resim RAG consulting
grafik, tasarım içeren bir resim API integration
grafik, tasarım içeren bir resim Human-in-the-loop review

HumanExpert
Workflow

Translator + independent
reviewer for high-risk or  
regulated content

 

 

Why are post-editors needed?

Neural Machine Translation (NMT) models often produce translations that sound less natural due to their difficulty in understanding and generating contextually appropriate text. This issue is evident even in advanced NMT systems like Google, Yandex, and DeepL.

 

As a result, NMT outputs may contain inaccuracies or fabricated information that a human translator would not typically produce. This limitation is especially critical in applications where maintaining an appropriate tone of voice is essential.




Accuracy Versus Natural Tone?

 

NMT models strive to minimize errors and ensure high accuracy, particularly when trained on domain-specific data. However, they may still lack the natural fluency and contextual appropriateness found in advanced AI models like GPT-4.

 

 

Can We Train an NMT Model?
Yes, we can train an NMT model to achieve context-sensitive, accurate translations. However, this requires feeding the NMT model with bilingual data in aligned formats such as parallel corpora, translation memory (TMX) files, bilingual file formats (SDLXLIFF), or comma-separated/tab-separated values files (CSV or TSV files). For large projects, it is essential to start with human translation to create high-quality training data for the NMT model. 

Do you really need us?
Yes, there are already trained NMT models available, and their performance varies according to the domain and language pairs. We have the expertise to identify the best NMT engine for your projects.