More precise translations with dynamic learning engines
Tilde MT Dynamic Learning© machine translation technology will learn from the corrections you make and will adjust to your style, language, and domain.
‘Dynamic Learning’ machine translation engines learn and improve from your edits! You get smarter, more accurate, and context-specific suggestions that are based on your previous edits
Dynamic Learning is an adaptive machine translation technology that is designed for technical and domain specific translation. Dynamic Learning engines work by feeding user edits from the CAT tool back into the machine translation engine to improve the next translations immediately. As a result, the machine translation engine will better understand how to use technical jargon and specific client vocabulary accurately next time around.
On-the-fly engine adaptation
Dynamic Learning analyses every correction you make and automatically improves the machine translation engine from your edits
Enhanced accuracy
The adaptive machine translation technology produces more accurate translations by quickly adjusting to the “voice and style” you are using
Improved productivity
Translators using the same engine and working together benefit from all the collective edits
Domain-specific terminology
A Dynamic Learning engine quickly picks up specific vocabulary and technical jargon
Translation Project Management
A single Dynamic Learning engine can be used to create an unlimited number of personalized adaptive systems adapted to different clients, projects, and domains.
Data Security
Data security and confidentiality is guaranteed – nobody can access your personal adaptive engines besides you
Upgrade your translations with adaptive machine translation!
CAT Tool Integration
You can use Dynamic Learning through the Tilde Online CAT tool, SDL Trados Studio (2015-2021), and/or MemoQ
Languages Available (subscribe now)
Estonian – English, English- Estonian, Finnish – English, English– Finnish, Finnish – Swedish, Swedish – Finnish, Latvian – English, English – Latvian, Lithuanian – English, English - Lithuanian
Languages available on request (contact us)
Croatian – English, Estonian – English, French – English, English- French, German – English, English- German, German – Italian, Italian- German, German – Polish, Polish – German, Latvian – English, Lithuanian – English, Polish – English, English – Polish, Romanian – English, English – Romanian, Spanish – English, English – Spanish, Swedish – Finnish
Say goodbye to general machine translation engines and get started with Tilde Dynamic Learning!
- Translate up to100 000 words
- One Dynamic Learning engine
- Single-user license
- Data security and confidentiality
- Plugins for CAT tools
- Cloud hosting
- Dynamic Learning project management
- Translate up to200 000 words
- One Dynamic Learning engine
- Single-user license
- Data security and confidentiality
- Plugins for CAT tools
- Cloud hosting
- Dynamic Learning project management
- Analytics
- UNLIMITED number of words
- One Dynamic Learning engine
- Single-user license
- Data security and confidentiality
- Plugins for CAT tools
- Cloud hosting
- Dynamic Learning project management
- Analytics
- Dedicated Account Manager
testimonials
What our clients are saying
Tilde’s Dynamic Learning Technology opens a new dimension in the Neural Machine Translation. Hieronymus Ltd specializes in legal translations, and we need to keep adapting our terminology and style to various legal sub-domains. The Dynamic Learning Technology will further enhance the performance of our custom NMT-engines by allowing us to adapt them in real time to each specific topic. We are thrilled to be one the first customers to benefit from this new feature."
CEO Hieronymus
We were excited to test Tilde's Dynamic Learning feature for Polish - English translations. We use general engines for many of our projects, and now with Dynamic feature, we will have an engine that adapts to a specific project considering customer’s style and terminology. We're enthusiastic about the opportunities this technology could bring in the future."
