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READ Project – Recognition and Enrichment of Archival Documents

Recognition and Enrichment of Archival Documents. German court document from 1903. HTR standard model trained with 88 pages. Character Error Rate: ca. 15%. Start your own HTR project with Transkribus. READ revolutionizes access to handwritten documents. From the Middle Ages to today, from old Greek to modern English, from running text to tables or forms. READ addresses archives and libraries, humanities scholars, family historians, volunteers - and computer scientists. January 5, 2017. January 5, 2017.

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READ Project – Recognition and Enrichment of Archival Documents | read.transkribus.eu Reviews

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Recognition and Enrichment of Archival Documents. German court document from 1903. HTR standard model trained with 88 pages. Character Error Rate: ca. 15%. Start your own HTR project with Transkribus. READ revolutionizes access to handwritten documents. From the Middle Ages to today, from old Greek to modern English, from running text to tables or forms. READ addresses archives and libraries, humanities scholars, family historians, volunteers - and computer scientists. January 5, 2017. January 5, 2017.

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READ Project – Recognition and Enrichment of Archival Documents | read.transkribus.eu Reviews

https://read.transkribus.eu

Recognition and Enrichment of Archival Documents. German court document from 1903. HTR standard model trained with 88 pages. Character Error Rate: ca. 15%. Start your own HTR project with Transkribus. READ revolutionizes access to handwritten documents. From the Middle Ages to today, from old Greek to modern English, from running text to tables or forms. READ addresses archives and libraries, humanities scholars, family historians, volunteers - and computer scientists. January 5, 2017. January 5, 2017.

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read.transkribus.eu

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READ Project – Page 5 – Recognition and Enrichment of Archival Documents

http://read.transkribus.eu/page/5

Recognition and Enrichment of Archival Documents. German court document from 1903. HTR standard model trained with 88 pages. Character Error Rate: ca. 15%. Start your own HTR project with Transkribus. READ revolutionizes access to handwritten documents. From the Middle Ages to today, from old Greek to modern English, from running text to tables or forms. READ addresses archives and libraries, humanities scholars, family historians, volunteers - and computer scientists. Looking back on 2016…. Our research...

2

Technical University Vienna – READ Project

http://read.transkribus.eu/network/76-2

Recognition and Enrichment of Archival Documents. Technical University Vienna – Computer Vision Lab. Technical University Vienna is Austria’s largest scientific-technical research and educational institution. The Computer Vision Lab (CVL). Key responsibilities in READ:. Meet the READ project partners – Hervé Déjean. Coming soon – new DocScan app to help users digitise historical documents! Georgian Papers Programme working with Transkribus. It’s competition time! Launch of new ScriptNet platform.

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+ What’s that written in the margin? Handwritten Text Recognition, Marginalia and John Stuart Mill – READ Project

http://read.transkribus.eu/2017/01/05/whats-that-written-in-the-margin

Recognition and Enrichment of Archival Documents. What’s that written in the margin? Handwritten Text Recognition, Marginalia and John Stuart Mill. January 5, 2017. January 5, 2017. Some people are horrified by the thought of writing notes on the pages of books. But for the English philosopher John Stuart Mill (1806 – 1873), marginal notes were a useful way to record his thoughts and observations as he read. The John Stuart Mill Collection. READ partners from Xerox Research Centre Europe. Are working wit...

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READ Project – Page 3 – Recognition and Enrichment of Archival Documents

http://read.transkribus.eu/page/3

Recognition and Enrichment of Archival Documents. German court document from 1903. HTR standard model trained with 88 pages. Character Error Rate: ca. 15%. Start your own HTR project with Transkribus. READ revolutionizes access to handwritten documents. From the Middle Ages to today, from old Greek to modern English, from running text to tables or forms. READ addresses archives and libraries, humanities scholars, family historians, volunteers - and computer scientists. Read our 2016 reports! Have a look ...

5

Network – READ Project

http://read.transkribus.eu/network

Recognition and Enrichment of Archival Documents. READ brings together scholars and scientists, archivists and volunteers and will enable synergy, collaboration and the sharing of data and resources. The main objective is to advance access to historical, handwritten documents – from all over Europe, regardless of their alphabet, language or the date of their creation. University of Innsbruck (co-ordinator / Austria). Universitat Politecnica de Valencia (Spain). University College London (United Kingdom).

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transcriptorium.eu

University College London | tranScriptorium

http://transcriptorium.eu/consortium/university-college-london

Universitat Politècnica de València. National Centre for Scientific Research. Institute for Dutch Lexicology. University London Computer Centre. University College London – UCL. University College London (UCL) was established in 1826 as the original University of London, and is England’s third oldest university. UCL’s work in tranScriptorium. TranScriptorium ends. READ. June 9, 2016. Designed by kredytgotowkowy4u.pl.

transcriptorium.eu

Work Packages | tranScriptorium

http://transcriptorium.eu/work-packages

Universitat Politècnica de València. National Centre for Scientific Research. Institute for Dutch Lexicology. University London Computer Centre. The overall objective of this WP is to ensure the fulfillment of the project objectives and to ensure that the required project deliverables are provided to the European Commission in time and within budget. This WP will proceed in close contact with WP7, responsible for the Dissemination and Exploitation Plans. WP2 Data management (UIBK). This WP aims at integr...

xrce.xerox.com

Hervé Déjean / People / About XRCE / Xerox Research Centre Europe - XRCE

http://www.xrce.xerox.com/About-XRCE/People/Herve-Dejean

EU and Government Projects. They make it happen. Phone : 33 (0)4 76 61 50 81. Researcher in the Parsing and Semantics Area. Typography, book design. I am currently involved in the READ EU project. Need to transcribe old handwritten documents? The READ Transkribus platform! Take a look at the open source project pdftoxml at https:/ sourceforge.net/projects/pdf2xml/. And at our pdf2epub online converter at http:/ open.xerox.com/Services/Rossinante/.

transcriptorium.eu

Datasets | tranScriptorium

http://transcriptorium.eu/datasets

Universitat Politècnica de València. National Centre for Scientific Research. Institute for Dutch Lexicology. University London Computer Centre. The datasets and their corresponding ground-truth used in tranScriptorium can be downloaded from this web page for research purposes. For more information, follow the link of the collection. The Bentham collection consists of a set of images of a collection of works on law and moral philosophy written by the philosopher Jeremy Bentham. June 9, 2016.

ucl.ac.uk

Bentham Project

http://www.ucl.ac.uk/Bentham-Project

Who was Jeremy Bentham? This website gives information on Jeremy Bentham and about the work of the Bentham Project. We are the world centre for Bentham Studies and our main activity is the production of the new edition of Bentham's. We are part of UCL's Faculty of Laws. The Bentham Project is responsible for Transcribe Bentham. The double award winning scholarly crowdsourcing initiative. Why not get involved? Your chance to run Bentham's unrealised prison is now here: download the free game,. Dr Michael ...

transcriptorium.eu

Publications | tranScriptorium

http://transcriptorium.eu/publications

Universitat Politècnica de València. National Centre for Scientific Research. Institute for Dutch Lexicology. University London Computer Centre. Here is the list of publications related to the tranScriptorium project. V Romero, J. A. Sánchez, V. Bosch, K. Depuydt, and J. de Does, “Influence of text line segmentation in handwritten text recognition,” in 13th international conference on document analysis and recognition (ICDAR). Vol 150, pp. 147-154, 2015. 2015, pp. 281-285. INPROCEEDINGS{Stamatopoulos15a,...

transcriptorium.eu

Consortium | tranScriptorium

http://transcriptorium.eu/consortium

Universitat Politècnica de València. National Centre for Scientific Research. Institute for Dutch Lexicology. University London Computer Centre. Consortium, partners have been carefully selected in order to guarantee an adequate representation for each role: research experience in HTR and DIA, content providers, transcription experience and integration experience. Universitat Politècnica de València – UPV. Universiy of Innsbruck – UIBK. University College London – UCL. TranScriptorium ends. READ.

transcriptorium.eu

Objectives | tranScriptorium

http://transcriptorium.eu/pagina/objectives

Universitat Politècnica de València. National Centre for Scientific Research. Institute for Dutch Lexicology. University London Computer Centre. Download the project factsheet here. Huge amounts of handwritten historical documents are being published by on-line digital libraries world wide. However, for these raw digital images to be really useful, they need be annotated with informative content. The tranScriptorium. Despite recent significant improvements, currently available HTR technologies are still ...

transcriptorium.eu

University of Innsbruck | tranScriptorium

http://transcriptorium.eu/consortium/university-of-innsbruck

Universitat Politècnica de València. National Centre for Scientific Research. Institute for Dutch Lexicology. University London Computer Centre. University of Innsbruck – UIBK. The Department of German Language and Literature Studies (UIBK) was founded 150 years ago and. TranScriptorium ends. READ. June 9, 2016. This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 600707.

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READ Project – Recognition and Enrichment of Archival Documents

Recognition and Enrichment of Archival Documents. German court document from 1903. HTR standard model trained with 88 pages. Character Error Rate: ca. 15%. Start your own HTR project with Transkribus. READ revolutionizes access to handwritten documents. From the Middle Ages to today, from old Greek to modern English, from running text to tables or forms. READ addresses archives and libraries, humanities scholars, family historians, volunteers - and computer scientists. January 5, 2017. January 5, 2017.

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