What is translation & localisation data and how does it work?

What the service covers

Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication.

• Sentence-aligned parallel data
• Updated glossary
• Reviewer notes on ambiguous source

Technical specification

These are defaults, not limits. Where your pipeline requires different values, they replace ours in the statement of work rather than being converted after delivery.

How the work runs

• Glossary and register agreement
• Translation by native speakers of the target language
• Independent bilingual review
• Alignment verification
• Delivery with terminology report

Quality control and acceptance

Back-translation checks are run on a sample so you can see where source ambiguity, not translator error, causes divergence.

Failures are remedied by re-collection rather than by editing delivered files, because repaired audio carries artefacts that survive into the trained model.

Who this is for

Recruitment for this service works as follows. Translators are native in the target language and screened on domain samples.

• MT training
• Multilingual LLM eval
• Product localisation data

Timelines

2-4 weeks for typical corpus volumes per language pair.

Multi-language programmes run in parallel rather than in sequence, so a five-language scope does not take five times as long.