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Kannada Translation & Localisation Data

Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. This page covers how that works specifically for Kannada, where north karnataka speech has markedly different intonation and lexicon from mysuru standard.

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Abstract visualisation of translation between two Indian languages — Kannada Translation & Localisation Data
Language
Kannada (kn-IN)
Dialects covered
5
Typical programme
250-1,000 hours
Cities
Bengaluru, Mysuru, Hubballi-Dharwad
01

What changes when the language is Kannada

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

  • North Karnataka speech has markedly different intonation and lexicon from Mysuru standard
  • Dialect spread: Bangalore urban, Mysuru (standard literary), Dharwad / North Karnataka, Mangaluru coastal
  • Bengaluru is a migration city: Kannada speech there is mixed with English, Hindi, Tamil and Telugu. Native-only Kannada cohorts recruited in Bengaluru are hard to fill without screening for years of residence.
Translation — Kannada · 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
Studio-grade voice recording session for text-to-speech training data — supporting kannada translation & localisation data
Studio-grade voice recording session for text-to-speech training data
03

Kannada cohort design

Screen Bengaluru participants for native fluency and years of Karnataka residence; otherwise the cohort drifts towards second-language Kannada.

DimensionTypical splitWhy it matters for Kannada
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 Kannada forms that younger urban speakers have lost
RegionKarnataka / parts of Maharashtra, Tamil Nadu and Andhra Pradesh 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

  • Glossary and register agreement
  • Translation by native speakers of the target language
  • Independent bilingual review
  • Alignment verification
  • Delivery with terminology report
05

Kannada-specific quality rules

  • Northern lexical items replaced with standard equivalents
  • Inconsistent transliteration of English technical terms
  • Sandhi in connected speech transcribed as separate words by some annotators and joined by others

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
07

Worked example

A representative Kannada translation engagement: 250 hours from 500 speakers, 50/50 gender, ages 18-45, spread across Bengaluru, Mysuru, Hubballi-Dharwad, recorded to the specification above and delivered in WAV with a per-utterance manifest.

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

08

Where this data is missing today

Mysuru/Bengaluru standard dominates. North Karnataka (Dharwad, Kalaburagi) and coastal Mangaluru speech are barely represented in any public corpus.

Frequently asked

How much does Kannada translation cost?

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

Which Kannada dialects are included?

By default Bangalore urban, Mysuru (standard literary), Dharwad / North Karnataka, Mangaluru coastal and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Kannada data in our format?

Yes. Sentence-aligned parallel data is the default, but naming, schema and directory structure follow your pipeline.

How long does a Kannada programme take?

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

Request a Kannada translation quote

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

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