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Multilingual collection · اردو

Urdu Multilingual Data Collection

Parallel programmes across several Indian languages at once, run to one specification so the resulting datasets are comparable rather than a set of incompatible deliveries. This page covers how that works specifically for Urdu, where shares most phonology with hindi but adds perso-arabic phonemes (/q/, /x/, /ɣ/, /z/, /f/) that many speakers merge.

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Diverse Indian speakers waiting for multilingual data collection sessions — Urdu Multilingual Data Collection
Language
Urdu (ur-IN)
Dialects covered
5
Typical programme
250-1,000 hours
Cities
Hyderabad, Lucknow, Delhi
01

What changes when the language is Urdu

The service specification stays constant across languages; the linguistics do not. For Urdu, three things drive the design of a multilingual collection programme.

  • Shares most phonology with Hindi but adds Perso-Arabic phonemes (/q/, /x/, /ɣ/, /z/, /f/) that many speakers merge
  • Dialect spread: Dakhini (Hyderabad), Lucknawi, Dehlvi, Bihari Urdu
  • Spoken Urdu and spoken Hindi are largely mutually intelligible; the distinction is mainly lexical and orthographic. Decide up front whether transcription is in Nastaliq, Devanagari, or both.
Multilingual collection — Urdu · written into the SOW before recordingLanguagesUp to 14 Indian languages plus Indian English in one progra…ConsistencyOne spec, one manifest schema, one QA standard across all l…BalancePer-language quotas set independently to match your deploym…ReportingSingle consolidated progress view across languagesYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
LanguagesUp to 14 Indian languages plus Indian English in one programme
ConsistencyOne spec, one manifest schema, one QA standard across all languages
BalancePer-language quotas set independently to match your deployment mix
ReportingSingle consolidated progress view across languages
Speaker reading a prompt script into a studio microphone — supporting urdu multilingual data collection
Speaker reading a prompt script into a studio microphone
03

Urdu cohort design

Fix the script decision before fielding; retro-transcribing a Nastaliq dataset into Devanagari after delivery costs as much as the original transcription pass.

DimensionTypical splitWhy it matters for Urdu
Gender50 / 50Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition
Age18-25: 30%, 26-40: 40%, 41-60: 30%Older speakers retain conservative Urdu forms that younger urban speakers have lost
RegionUttar Pradesh / Telangana / Bihar and othersDialect spread across 5 recognised varieties
EducationMixed, including below-graduatePrompt-reading fluency correlates with education and skews prosody
ConditionStudio / quiet room / fieldMatch the noise profile of your deployment
04

Process

  • Master specification written once and localised per language
  • Per-language linguistic review of prompts and guides
  • Parallel fielding across studio cities
  • Central QA applying identical thresholds
  • Consolidated delivery with per-language reports
05

Urdu-specific quality rules

  • Right-to-left Nastaliq tooling errors and diacritic loss
  • Merged phonemes transcribed by sound rather than by etymology, or vice versa, inconsistently
  • Dakhini forms replaced with standard Urdu

The hardest language sets the timeline. Low-resource languages such as Assamese and Odia should start first.

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Deliverables

  • Per-language datasets in one schema
  • Cross-language coverage report
  • Consolidated QA summary
07

Worked example

A representative Urdu multilingual collection engagement: 250 hours from 500 speakers, 50/50 gender, ages 18-45, spread across Hyderabad, Lucknow, Delhi, recorded to the specification above and delivered in WAV with a per-utterance manifest.

Timeline: 6-12 weeks for a multi-language programme, depending on the smallest-pool language in scope.

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Where this data is missing today

Indian Urdu specifically, and Dakhini in particular, are absent from public data dominated by Pakistani Urdu broadcast speech.

Frequently asked

How much does Urdu multilingual collection cost?

Priced per delivered hour or unit against a written spec. The cost drivers for Urdu are dialect spread, demographic narrowness and recording condition, in that order.

Which Urdu dialects are included?

By default Dakhini (Hyderabad), Lucknawi, Dehlvi, Bihari Urdu and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Urdu data in our format?

Yes. Per-language datasets in one schema is the default, but naming, schema and directory structure follow your pipeline.

How long does a Urdu programme take?

6-12 weeks for a multi-language programme, depending on the smallest-pool language in scope.

Request a Urdu multilingual collection quote

Hours, speakers, dialects, deadline. Send what you have.

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