Transcription · Machine Translation
Transcription Services for Machine Translation
Verbatim and clean-read transcription of Indian-language audio by native speakers of the target variety, delivered against a written style guide with measured agreement. Applied to machine translation, the specification is driven by one thing: human adequacy and fluency scores.
- Service
- Transcription
- Use case
- Machine Translation
- Primary metric
- Human adequacy and fluency scores
Required data profile
- Sentence-aligned parallel corpora
- Register-matched to your product
- Enforced terminology glossary
Technical specification
| Parameter | Standard |
|---|---|
| Modes | Verbatim, clean verbatim, or clean-read |
| Timestamps | Utterance or word level |
| Script | Native script, romanised, or dual-script delivery |
| Tags | Speaker, noise, overlap, unintelligible, code-switch |
| Accuracy target | 99% on clean studio audio; agreed per-project on field audio |
Process
- Style guide authoring and client sign-off
- Transcriber calibration and agreement measurement
- First pass transcription
- Independent second-pass review
- Automated rule checks and delivery
Metrics this feeds
- Human adequacy and fluency scores
- Terminology compliance rate
- Back-translation divergence
Failure modes to design out
- Pivoting everything through English
- Post-edited machine output passed off as human translation
The style guide is the deliverable that determines whether your data is usable. It is written first and shipped with the data.
Deliverables
- Transcripts in your schema
- Style guide
- QA and agreement report
Frequently asked
Is transcription the right service for machine translation?
It covers sentence-aligned parallel corpora. Most machine translation 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 transcription for machine translation
Send the metric you need to move.