====== CERL Seminar 2014 ====== ===== The application of text encoding facilities to digital versions of European early books (Oslo, 28 October 2014) ===== Introduction: About CERL {{:services:seminars:2014-10-28_cerlsemoslo.pdf|Marian Lefferts}} and {{:services:seminars:powerpoint_dondi_oslo_28_10_14.pdf|Cristina Dondi}} (CERL) Paper 1: {{:services:seminars:impact_parkola_pdf.pdf|The Impact Centre of Competence: tools for text digitisation and transcription}} – Tomasz Parkoła (Digital Libraries Team, Supercomputing and Networking Center, Poznan) Paper 2: {{:services:seminars:lavold_wiger_cerl_20141028.pdf|From manuscript to epub}} – Bente Lavold and Ellen Nessheim Wiger (National Library of Norway, Oslo) Paper 3: {{:services:seminars:graphematics_paradiit_cerl_seminar_2014_10_28.pdf|Graphical analysis and graphematics for the BVH corpus (Bibliothèques Virtuelles Humanistes)}} – Marie-Luce Demonet and Frédéric Rayar (University of Tours) Paper 4: {{:services:seminars:iglesia_tei.pdf|Metadata and other data in TEI}} – Martin de la Iglesia (Metadata and Data Conversion Group, Niedersächsische Staats- und Universitätsbibliothek, Göttingen) Paper 5: {{:services:seminars:ocr_fabian_cs.pdf|OCR-ing at the Bayerische Staatsbibliothek: projects and experiences}} – Claudia Fabian (Bayerische Staatsbibliothek, Munich) Paper 6: {{:services:seminars:when_not_to_ocr_-_the_experience_of_eebo-tcp_-_cerl_annual_seminar_-_2014-10-28.pdf|When not to OCR – the experience of EEBO-TCP}} – Michael Popham (Digital Collections and Preservation Services, Bodleian Libraries, University of Oxford) Paper 7: {{:services:seminars:how_to_generate_interest_zanevitolina_colibrum.pdf|How to generate society’s interest in digitized books and periodicals?}} – Zane Vitonlina (Colibrum, Riga) Paper 8: {{:services:seminars:schomaker-monk-cerl_oslo-2014.pdf|The birth of a massive search engine for historical and multi-cultural handwritten collections}} – Lambert Schomaker (Groningen University) Paper 9: {{:services:seminars:mazzei_cerl_2014.pdf|Incremental and Offline Handwriting Recognition for the Venice Time Machine}} – Andrea Mazzei and Fouad Slimane (Digital Humanities Lab, Swiss Federal Institute of Technology (EPFL), Lausanne)