aidataservices.inAI data collection · India

Translation · IVR & Voice Bots

Translation & Localisation Data for IVR & Voice Bots

Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. Applied to ivr & voice bots, the specification is driven by one thing: intent accuracy.

Request a dataset quoteReply within one working day
Abstract visualisation of translation between two Indian languages — Translation & Localisation Data for IVR & Voice Bots
Service
Translation
Use case
IVR & Voice Bots
Primary metric
Intent accuracy
01

Required data profile

  • Telephony-bandwidth audio
  • Dual-channel calls
  • Intent-labelled utterances against a live taxonomy
Translation — IVR & Voice Bots · 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
Speaker reading a prompt script into a studio microphone — supporting translation & localisation data for ivr & voice bots
Speaker reading a prompt script into a studio microphone
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

  • Intent accuracy
  • Containment rate
  • Barge-in handling
05

Failure modes to design out

  • Studio audio downsampled to fake telephony
  • Scripted callers who never interrupt
  • Intent sets written by product, not derived from real calls

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 ivr & voice bots?

It covers telephony-bandwidth audio. Most ivr & voice bots 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 ivr & voice bots

Send the metric you need to move.

Request a dataset quote