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

Format:

Book

Contributor:

Sporleder, Caroline, editor.

Bosch, Antal van den, 1969- editor.

Zervanou, Kalliopi, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Theory and applications of natural language processing 2192-032X

Theory and Applications of Natural Language Processing, 2192-032X

Language:

English

Subjects (All):

Artificial intelligence.

Pattern perception.

Natural language processing (Computer science).

Information storage and retrieval.

Artificial Intelligence.

Pattern Recognition.

Natural Language Processing (NLP).

Information Storage and Retrieval.

Local Subjects:

Artificial Intelligence.

Pattern Recognition.

Natural Language Processing (NLP).

Information Storage and Retrieval.

Physical Description:

1 online resource (XXXII, 232 pages).

Edition:

First edition 2011.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.

System Details:

text file PDF

Summary:

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. .

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-642-20227-8

9783642202278

9783642269882

9783642202261

9783642202285

Access Restriction:

Restricted for use by site license.