Language Technology for Cultural Heritage [electronic resource] : Selected Papers from the LaTeCH Workshop Series / edited by Caroline Sporleder, Antal van den Bosch, Kalliopi Zervanou.

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
1 online resource (XXXII, 232 pages)
1st ed. 2011.
Computer Science (Springer-11645)
Theory and applications of natural language processing 2192-032X
Theory and Applications of Natural Language Processing, 2192-032X
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Springer eBooks

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Artificial intelligence.
Pattern perception.
Natural language processing (Computer science).
Information storage and retrieval.
Local subjects:
Artificial Intelligence. (search)
Pattern Recognition. (search)
Natural Language Processing (NLP). (search)
Information Storage and Retrieval. (search)
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The digital age has had a profound effect on our cultural heritage and the academic research that studies it. Staggering amounts of objects, many of them of a textual nature, are being digitised to make them more readily accessible to both experts and laypersons. Besides a vast potential for more effective and efficient preservation, management, and presentation, digitisation offers opportunities to work with cultural heritage data in ways that were never feasible or even imagined.  To explore and exploit these possibilities, an interdisciplinary approach is needed, bringing together experts from cultural heritage, the social sciences and humanities on the one hand, and information technology on the other. Due to a prevalence of textual data in these domains, language technology has a crucial role to play in this endeavour. Language technology can break through the "Google barrier" by offering the potential to analyse texts at advanced levels, extracting information and knowledge at the level of the humanities or social sciences researcher, who wants to know about the who, what, where, and when, but also the how and the why. At the same time cultural heritage data poses considerable challenges for existing language technology: technology aimed at "generic" language has to face such disparate problems as historical language variation, OCR digitisation errors, and near-extinct academic expertise.   This book is primarily intended for researchers in information technology and language processing who would like to receive a state-of-the-art overview of the whole breadth of the new and vibrant field of language technology for cultural heritage and its associated academic research in the humanities and social sciences. Researchers working in the target domains of cultural heritage, the social sciences and humanities will also find this book useful, as it provides an overview of how language technology can help them with their information needs. The book covers applications ranging from pre-processing and data cleaning, to the adaptation and compilation of linguistic resources, to personalisation, narrative analysis, visualisation and retrieval.  .
Foreword by Willard McCarty
Language Technology for Cultural Heritage, Social Sciences and Humanities: Chances and Challenges. Caroline Sporleder, Antal van den Bosch and Kalliopi Zervanou
Part I Pre-Processing
Strategies for Reducing and Correcting OCR Errors. Martin Volk, Lenz Furrer and Rico Sennrich
Alignment between Text Images and their Transcripts for Handwritten Documents. Alejandro H. Toselli, Verónica Romero and Enrique Vidal
Part II Adapting NLP Tools to Older Language Varieties
A Diachronic Computational Lexical Resource for 800 Years of Swedish. Lars Borin and Markus Forsberg
Morphosyntactic Tagging of Old Icelandic Texts and Its Use in Studying Syntactic Variation and Change. Eiríkur Rögnvaldsson and Sigrún Helgadóttir
Part III Linguistic Resources for CH/SSH
The Ancient Greek and Latin Dependency Treebanks. David Bamman and Gregory Crane
A Parallel Greek-Bulgarian Corpus: A Digital Resource of the Shared Cultural Heritage. Voula Giouli, Kiril Simov and Petya Osenova
Part IV Personalisation
Authoring Semantic and Linguistic Knowledge for the Dynamic Generation of Personalized Descriptions. Stasinos Konstantopoulos, Vangelis Karkaletsis, Dimitrios Vogiatzis and Dimitris Bilidas
Part V Structural and Narrative Analysis Automatic Pragmatic Text Segmentation of Historical Letters. Iris Hendrickx, Michel Généreux and Rita Marquilhas
Proppian Content Descriptors in an Integrated Annotation Schema for Fairy Tales. Thierry Declerck, Antonia Scheidel and Piroska Lendvai
Adapting NLP Tools and Frame-Semantic Resources for the Semantic Analysis of Ritual Descriptions. Nils Reiter, Oliver Hellwig, Anette Frank, Irina Gossmann, Borayin Maitreya Larios, Julio Rodrigues and Britta Zeller
Part VI Data Management, Visualisation and Retrieval
Information Retrieval and Visualization for the Historical Domain. Yevgeni Berzak, Michal Richter, Carsten Ehrler and Todd Shore
IntegratingWiki Systems, Natural Language Processing, and Semantic Technologies for Cultural Heritage Data Management. René Witte, Thomas Kappler, Ralf Krestel, and Peter C. Lockemann.
Sporleder, Caroline, editor., Editor,
van den Bosch, Antal. editor., Editor,
Zervanou, Kalliopi, editor., Editor,
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9783642269882 (Printed edition)
9783642202261 (Printed edition)
9783642202285 (Printed edition)
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10.1007/978-3-642-20227-8 doi
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