NMT model





We specialize in translations for
Technical & Professional
Industrial Manufacturing, 
Automation, Safety, 
ComplianceLegal,
Medicine, Life Sciences


Communication &
Content

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

Digital Products
Software, Apps, 
Video Games




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


HumanExpert
Workflow
Translator + independent
reviewer for high-risk or  
regulated content


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




 

Why are post-editors needed?

NMT translations often sound less natural because they sometimes struggle to understand and generate contextually appropriate text. This is a major weakness of advanced NMT models like Google, Yandex, and DeepL.

 

As a result, their output may include incorrect or fabricated information that a human translator would not typically produce. This limitation can be particularly problematic in critical applications where tone of voice is paramount.

 



Accuracy versus natural tone

 

NMT models aim to minimize hallucinations and ensure high accuracy, particularly when trained on domain-specific data.

However, they may sometimes lack the natural fluency and contextual appropriateness of advanced AI-powered models like GPT-4. 

 

Can we train 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.