TRANSKRIBUS. Research Infrastructure for the Transcription and Recognition of Historical Documents
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1 TRANSKRIBUS. Research Infrastructure for the Transcription and Recognition of Historical Documents Günter Mühlberger, Sebastian Colutto, Philip Kahle Digitisation and Digital Preservation group (University of Innsbruck)
2 TRANSKRIBUS enables collaboration among humanities scholars, computer scientists, archives and volunteers with the ultimate goal to revolutionise recognition, transcription and access to historical handwritten documents. 16/06/2015 2
3 ARCHIVES & LIBRARIES HUMANITIES SCHOLARS COMPUTER SCIENTISTS PUBLIC USERS
4 ARCHIVES & LIBRARIES HUMANITIES SCHOLARS TRANSCRIPITON & RECOGNITON PLATFORM COMPUTER SCIENTISTS PUBLIC USERS
5 ARCHIVES & LIBRARIES Provide images Receive standard formats (METS/ALTO/TEI/PDF-A) DOCUMENTS HUMANITIES SCHOLARS TRP COMPUTER SCIENTISTS PUBLIC USERS
6 ARCHIVES & LIBRARIES Provide images Receive standard formats (METS/ALTO/TEI/PDF-A) Transcribe text DOCUMENTS HUMANITIES SCHOLARS Receive TEI, PDF EXPERT & CROWD CLIENTS TRP COMPUTER SCIENTISTS PUBLIC USERS
7 ARCHIVES & LIBRARIES Provide images Receive standard formats (METS/ALTO/TEI/PDF-A) Transcribe text DOCUMENTS Work with reference data HUMANITIES SCHOLARS Receive TEI, PDF EXPERT & CROWD CLIENTS TRP HTR DIA KWS NLP, HPC Invent algorithms COMPUTER SCIENTISTS PUBLIC USERS
8 ARCHIVES & LIBRARIES Provide images Receive standard formats (METS/ALTO/TEI/PDF-A) Transcribe text DOCUMENTS Work with reference data HUMANITIES SCHOLARS Receive TEI, PDF EXPERT & CROWD CLIENTS TRP HTR DIA KWS NLP, HPC Improve algorithms COMPUTER SCIENTISTS WEBSITE Annotate, evaluate, contribute Search and retrieve handwritten documents PUBLIC USERS
9 ARCHIVES & LIBRARIES Provide images Receive standard formats (METS/ALTO/TEI/PDF-A) HUMANITIES SCHOLARS Transcribe text Receive TEI, PDF TRANSKRIBUS TRANSCRIPITON RECOGNITION PLATFORM Work with reference data Improve algorithms COMPUTER SCIENTISTS Annotate, evaluate, contribute Search and retrieve handwritten documents PUBLIC USERS
10 Cycle of growth HTR TECHNOLOGY ACCELERATED DIGITISATION NEW SERVICES MORE TRANSCRIPTS MORE USERS 16/06/
11 Platform Software as a Service Integrated Tools External Services Images Document Management User Management TRP Expert GUI Crowd- Sourcing GUI METS ALTO PDF TEI RTF PAGE Website Search Interface 16/06/
12 Website 16/06/
13 TRANSKRIBUS Expert GUI 16/06/
14 TSX Crowd-sourcing platform 16/06/
15 Archives/collection holders are enabled to Manage the transcription process of large and heterogeneous document collections in a standardized and effective way Expose their digitised documents to their own employees, humanities scholars, volunteers and the crowd Involve users according to their background Support humanities scholars in their research Outsource transcription (or the training of an HTR model) to service providers (e.g. off-shore) Make large amounts of handwritten documents searchable (if a trained HTR model is available) Import transcribed documents in machine readable formats (METS/ALTO) Provide standardized requirements to researchers and technology providers dealing with issues of interest (e.g. manage tendering) 16/06/
16 Humanities scholars are enabled to (1) Use TRANSKRIBUS for free (registration) Upload as many single documents as they want Transcribe their documents semi-automated in a way that image and text are linked to each other (improved transcription quality!) Enrich their documents with Named Entities (person and geo names, dates) and personal tags Normalize their transcription in a transparent way (abbreviations, character sets, editorial declaration) Export their document in various formats TEI: transcribed text with machine and human readable text ( scientific style ) PDF-Text: transcribed text with some formatting ( book style ) PDF-Image: transcribed text in the background, image in the foreground ( Scanned PDF style ) RTF: transcribed text for human readability ( working style ) METS/ALTO: full machine readable package ( digital library style ) METS/PAGE: full machine readable package ( computer science style ) 16/06/
17 Humanities scholars are enabled to (2) Manage their documents in a private collection (no one else has access!) Invite other users to collaborate (e.g. students, colleagues) and to work on the same document See different versions of their documents Expose their documents also in a simplified web-based transcription GUI (TSX) Transcribe documents with the support of HTR if a model is available (needs offline training in beforehand) Exploit language resource database in the background (e.g. words, variants, frequencies, etc.) Search within a handwritten text collection Benefit from other TRANSKRIBUS users in an indirect way. The following resources will be available to every user of the platform: Trained HTR models Normalized editorial declarations Normalized Named Entities Language resources 16/06/
18 Sustainability model Free usage Single documents (who ever wants to work with the platform) E.g. humanities scholars, volunteers, genealogists, archivists, Service Level Agreement Document collections E.g. transcription projects (grants), archives, libraries (OCR collections) Public-Public-Partnership Subsidiary model, not only for TRANSKRIBUS itself, but also for participants (e.g. archives, collection holders) E.g. DARIAH, direct support via e-infrastructure funds, research agencies (may have interest on standardized formats and workflows, etc.) Research agencies Vision Dozens of archives expose their collections via TRANSKRIBUS, hundreds of humanities scholars are actually working with it and thousands of volunteers are involved 16/06/
19 transcriptorium READ READ Recognition and Enrichment of Archival Documents E-Infrastructure programme: Virtual Research Environments 13 partners, coordinated by UIBK 3,5 years (very likely until ) 8,2 mill. EUR funding 10 associated partners Highlights Release of TRANSKRIBUS e2015 (=all main features included) Implementation of HTR technology in four Large Scale Demonstrators (Zurich, Finland, Passau, Venice Time Machine) 10 associated partners (archives, collection holders) joining the project in Y1 ScanApp (mobile phone as document scanner) E-Learning application (history students!) European Hands (marketing campaign) Large Data Sets for Research Competitions (put HTR on the research agenda) 16/06/
20 Thank you for your attention! 16/06/
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