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Bengali 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 Bengali, where inherent vowel is realised as /ɔ/ or /o/, which breaks g2p rules copied from devanagari-based systems.

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Abstract visualisation of translation between two Indian languages — Bengali Translation & Localisation Data
Language
Bengali (bn-IN)
Dialects covered
5
Typical programme
500-2,000 hours
Cities
Kolkata, Siliguri, Durgapur
01

What changes when the language is Bengali

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

  • Inherent vowel is realised as /ɔ/ or /o/, which breaks G2P rules copied from Devanagari-based systems
  • Dialect spread: Kolkata standard (Rarhi), Sylheti-influenced, Rangpuri / North Bengal, Medinipuri
  • Kolkata professional speech mixes English heavily; rural West Bengal much less. A single 'Bengali' dataset without register tags conflates two very different acoustic and lexical distributions.
Translation — Bengali · 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
Diverse Indian speakers waiting for multilingual data collection sessions — supporting bengali translation & localisation data
Diverse Indian speakers waiting for multilingual data collection sessions
03

Bengali cohort design

Tag every speaker as Indian Bengali and record district of origin; mixing in Bangladeshi speech without tags is a common and costly dataset defect.

DimensionTypical splitWhy it matters for Bengali
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 Bengali forms that younger urban speakers have lost
RegionWest Bengal / Tripura / Assam (Barak Valley) 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

Bengali-specific quality rules

  • Three sibilant characters chosen inconsistently for the same sound
  • Bangladeshi vs Indian Bengali orthographic conventions mixed within one dataset
  • Verb conjugation register (cholit vs sadhu) normalised by transcribers

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 Bengali translation engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Kolkata, Siliguri, Durgapur, 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

Indian Bengali is under-collected relative to Bangladeshi Bengali, and North Bengal and Tripura varieties are almost entirely missing.

Frequently asked

How much does Bengali translation cost?

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

Which Bengali dialects are included?

By default Kolkata standard (Rarhi), Sylheti-influenced, Rangpuri / North Bengal, Medinipuri and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Bengali 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 Bengali programme take?

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

Request a Bengali translation quote

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

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