aidataservices.inAI data collection · India

Translation · Accent Adaptation

Translation & Localisation Data for Accent Adaptation

Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. Applied to accent adaptation, the specification is driven by one thing: per-accent wer spread.

Request a dataset quoteReply within one working day
Abstract visualisation of translation between two Indian languages — Translation & Localisation Data for Accent Adaptation
Service
Translation
Use case
Accent Adaptation
Primary metric
Per-accent WER spread
01

Required data profile

  • Accent-band balanced speech with substrate-language tags
  • Matched content across bands for controlled comparison
Translation — Accent Adaptation · written into the SOW before recordingDirectionEnglish to Indian languages and between Indian languagesOutputSentence-aligned parallel corporaRegisterFormal, colloquial, or matched to your product toneReviewIndependent bilingual review passTerminologyClient glossary enforced and returned updatedYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
DirectionEnglish to Indian languages and between Indian languages
OutputSentence-aligned parallel corpora
RegisterFormal, colloquial, or matched to your product tone
ReviewIndependent bilingual review pass
TerminologyClient glossary enforced and returned updated
Field recording session with a rural speaker in India — supporting translation & localisation data for accent adaptation
Field recording session with a rural speaker in India
03

Process

  • Glossary and register agreement
  • Translation by native speakers of the target language
  • Independent bilingual review
  • Alignment verification
  • Delivery with terminology report
04

Metrics this feeds

  • Per-accent WER spread
  • Regression on the original accent set
05

Failure modes to design out

  • Treating Indian English as one accent
  • No substrate tagging, so the model cannot be evaluated per band

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

06

Deliverables

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

Frequently asked

Is translation the right service for accent adaptation?

It covers accent-band balanced speech with substrate-language tags. Most accent adaptation 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 accent adaptation

Send the metric you need to move.

Request a dataset quote