Why Generic MT Fails Business Needs
State-of-the-Art Architectures
Domain Adaptation
A generic engine struggles with 'poly-A tail' vs 'retail tail'. Our custom engines know the difference because they are trained on YOUR science, law, or engineering documents.
Data Privacy
When you use free online tools, you feed their model. When you use our custom MT, your data improves only YOUR model. It stays yours forever.
Low-Resource Languages
We specialize in building engines for languages Big Tech ignores—from African dialects to indigenous American languages.
Hybrid Deployment
Run the heavy workloads in the cloud, but keep the sensitive stuff on-premise. We architect the solution that fits your risk profile.
R&D Excellence
Our team of NLP engineers stays on the bleeding edge of research. From Transformer-XL to sparse attention mechanisms, we implement the latest breakthroughs to shave milliseconds off latency and add points to BLEU scores.
Build your engine.
Speak with an NLP Engineer.
<>On-Premise vs. Cloud</>
Cloud: Managed via AWS/Azure/GCP. Fastest setup, infinite scaling. Best for marketing and general business content.
On-Premise: Installed on your local servers. Air-gapped capabilities. Mandatory for defense, intelligence, and highly regulated finance sectors.
Development Lifecycle
From raw text to a deployed API:
Data Prep
The foundation.
Corpus Cleaning - Removing noise, duplicates, and misalignment from your Translation Memories.- Anonymization - Scrubbing PII (Personally Identifiable Information) before training begins.
- Augmentation - Synthetically generating data to cover rare edge cases.
Clean data = Smart model.
Training
The learning phase.
- Architecture Selection - Choosing the right Transformer model (e.g., BERT, GPT-based, or specialized Seq2Seq).
- Fine-Tuning - The model reads your documents thousands of times until it mimics your style perfectly.
- Validation Cycles - Constant testing against a held-out confirmation set to prevent overfitting.
Computational intensity for linguistic purity.
Integration
Go live.
- API Deployment - Hosting your private model on high-availability GPU clusters.
- Plugin Creation - Building custom plugins for your specific CAT tools or CMS.
- Maintenance - Regular updates to keep the model current with language evolution.
Your engine, ready to serve.
Who Needs Custom MT?
Organizations with specialized vocabulary or high security needs.
Legal Tech
Health Tech
Ed Tech
Gov Tech
Fin Tech
As Featured In
Technology Success
See what custom engines can do:
European Patent Office
Online Travel Agency
Global Helpdesk
Technology FAQs
Deep dive into our tech stack.
Yes. Unlike SaaS subscriptions where you rent access, you can own the intellectual property of the fine-tuned model weights.
Ideally, 50,000+ segments (sentences) of high-quality bilingual text. However, we can use techniques like 'Transfer Learning' to build decent models with much less.
Typically 2-4 weeks for the initial build, including data cleaning and testing. Subsequent retraining rounds can be done in days.
Yes. We build connectors for all major CAT (Computer-Assisted Translation) tools and eDiscovery platforms.
Future-proof your business with Day Translations Technology.
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