- 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
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
Neotec 2020 Grant Recipient
