Case Study
Post-Edited Neural Machine Translation applied
How NMTPE can help solving common business challenges
A applied sample of neural translation memory and post -editing applied
Our Numbers Say It All
Executive Summary
Avionics client purchase planes from a foreign government to perform in-flight training with local teams.
The documentation, technical manuals and any other related documentation of the planes was only available in hard copy foreign language documents.
Word s translated
Month time
Hard copy Pages
Challenge
- Hard copy documentation in French.
- Nearly 38000 pages of content including extensive technical drawings.
- 6 months timeline for FAA approvals.
- Very Limited Budget.
A traditional processing would have required 12-16 months processing and respective cost associated with 6.8 Million words of translation.
How our NMT PE Solution helped
We designed a process to enable Post Edited Machine Translation rather than traditional processing, based on the clients scope of project.
- Scan and OCR Hard Copy Documentation
- Generate Digital and machine readable versions of original Documentation
- Build initial NMT training repository based on materials and reference documentation
- Create and Train Neural Machine translation engine
- Process files through Post edited Neural Machine translations
- Process Layout Adjustments NMTPE Documents on 38000 Pages
- Deliver all material within 6 months.
Results
- Delivery of Final NMTPE processed documents within 5.5 Months
- Cost level to client at 25% of traditional translation cost
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Other Technology Highlights
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