T-Base Communications Inc
$350,000.00 CAD
- Department
- National Research Council Canada
- Recipient country
- Canada
- Fiscal year
- 2018-2019
- Agreement period
- September 3, 2018 – October 31, 2019
- Reference
- nrc-cnrc:172-2018-2019-Q2-912294
Published purpose
XML features of existing T-Base platforms have unique advantages depending on context. A universal XML will be created as a structured intermediate format to facilitate single-pass document transformations. Cloud-based collaboration, with gamification, will enable the crowd sourcing of complex document conditioning. Machine learning will be used so that quality assurance interventions are measured and used to perfect document conditioning and XML generation, to eliminate QA bottle necks and to capitalize on user activity to perpetuate feedback loops that will continually enhance the speed and quality of document transformations into alternate formats – ultimately yielding high volume document transformation with high document fidelity.
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