Translation · Machine Translation
Translation & Localisation Data for Machine Translation
Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. Applied to machine translation, the specification is driven by one thing: human adequacy and fluency scores.
- Service
- Translation
- Use case
- Machine Translation
- Primary metric
- Human adequacy and fluency scores
Required data profile
- Sentence-aligned parallel corpora
- Register-matched to your product
- Enforced terminology glossary
Technical specification
| Parameter | Standard |
|---|---|
| Direction | English to Indian languages and between Indian languages |
| Output | Sentence-aligned parallel corpora |
| Register | Formal, colloquial, or matched to your product tone |
| Review | Independent bilingual review pass |
| Terminology | Client glossary enforced and returned updated |
Process
- Glossary and register agreement
- Translation by native speakers of the target language
- Independent bilingual review
- Alignment verification
- Delivery with terminology report
Metrics this feeds
- Human adequacy and fluency scores
- Terminology compliance rate
- Back-translation divergence
Failure modes to design out
- Pivoting everything through English
- Post-edited machine output passed off as human translation
Back-translation checks are run on a sample so you can see where source ambiguity, not translator error, causes divergence.
Deliverables
- Sentence-aligned parallel data
- Updated glossary
- Reviewer notes on ambiguous source
Frequently asked
Is translation the right service for machine translation?
It covers sentence-aligned parallel corpora. Most machine translation programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.
What languages are available?
All 14 languages in the network plus Indian English accent bands.
How is the evaluation set handled?
Collected first, from speakers disjoint from the training cohort, so improvement is measurable.
Scope translation for machine translation
Send the metric you need to move.