- Immense collections of historical manuscripts are stored in thousands of kilometres of shelves in archives and libraries
- All efforts should go towards making the valuable information contained in them available for consumption
- Digitalization is a necessary step, but insufficient
- Access and consumption of digitalized content is currently in the state the internet was in the early 90's
- Search by content in digitalized documents is currently not possible, users must depend on metadata collected manually
- Our indexing technology allows to search by content blurring the frontier between digital and digitalized documents
- This opens the door to successfully applying big data analysis techniques in digitalized documents
Indexing and Search
- A relevance probability map is computed over the whole image
- The probability and location of each detected pseudo-word is stored
- This allows to probabilistically index a word in an efficient manner
Layout Analysis
- Our own OSS Document Layout analysis framework: P2Pala
- Applicable to any corpus
- Based on state of the art Deep Learning U-net architecture
- Tackles both line detection and region classification
Assisted Transcription
- Proprietary interactive transcription correction process CATTI
- CATTI, measurably improves expert productivity
- In house developed web GUI and engine, actively used in many projects
Company launch...
We are right now in the midst of the formal creation of the company but soon we will be able to start providing our solutions
For any information requests please contact us at info@transkriptorium.com
Commercial Presentation
For a comprehensive overview of the solutions offered by Transkriptorium and the technology that back them up please read our commercial presentation
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Motivation
- Is the current tendency to digitalize collections truly delivering easy access to the information?
- How is one to search through the thousands of images of a collection for the content they need?
- Can any user, without the correct context and expertise, discern the contents?
- What would be the cost in expert hours and the cost of opportunity?
- How much of this invaluable information are we ready to lose forever?
- Would you be OK with a massive binary dump of all the data in your company and no way to search or actually understand what the contents are?
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Solution
- Transcribing all these texts would facilitate access to their contents for an extraordinary number of users and researchers
- Unfortunately, manual transcription is prohibitive and unassisted automatic transcription lacks the desired precision
- Via Computer Assisted Transcription we can make precise transcriptions at affordable prices
- Even better, we can automatically Index and allow probabilistic searches without the need of transcribing
- Our probabilistic indexes allow you to perform big data analysis over the indexed documents: classification, automatic summaries,..
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History
- This technology is now available as the result of the effort of a remarkable high-level research team
- It has matured over decades of research
- Product of cutting-edge national and international research projects
- Sustained by hundreds of peer reviewed articles
- The enormous international success of the developed projects guarantees the acceptance and value of this technology
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Assets
- A tested on-boarding method to process new corpora and deliver results
- State of the art open source and proprietary software developed and reviewed in 15 national and international research projects
- A team with over 500 peer reviewed publications
- Backed by the UPV as one of its spin-off flagships of 2020
- Part of the READ-Coop ecosystem
