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Why Generic MT Fails Business Needs
Public translation engines are trained on the "whole internet". That makes them great for ordering coffee in Paris, but terrible for translating a patent for a new pharmaceutical compound. They revert to the mean—choosing the most common translation, not the most accurate one.
Custom MT Technology is the antidote.
We create a walled garden for your translation needs. A dedicated neural network that has read every manual, email, and contract your company has ever produced.
Terminology Precision: It knows that "Project Falcon" is a proper noun, not a bird.
Style Consistency: It learns to speak in your brand's voice—whether that's formal, friendly, or technical.
Security Isolation: No data leakage. No shared GPUs. Your data interacts only with your model.
Cost Predictability: Flat licensing or hosting fees often beat per-character API charges at scale.
Invest in an asset that grows in value over time.
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
We offer total deployment flexibility.
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.
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
Developed a specialized engine for translating technical patents, achieving higher accuracy than human non-experts in the field.
Online Travel Agency
Built a model to translate user reviews and hotel descriptions, handling slang and abbreviations that baffled standard engines.
Global Helpdesk
Implemented a real-time chat translation engine that allowed support agents to handle tickets in 15 languages without switching context.
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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