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Language Technology for Cultural Heritage (Record no. 15625)

000 -LEADER
fixed length control field 06152nam a22005055i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310145533.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110705s2011 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642202278
978-3-642-20227-8
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
Classification number TJ210.2-211.495
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2011.
912 ## -
-- ZDB-2-SHU
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sporleder, Caroline.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Language Technology for Cultural Heritage
Medium [electronic resource] :
Remainder of title Selected Papers from the LaTeCH Workshop Series /
Statement of responsibility, etc edited by Caroline Sporleder, Antal Bosch, Kalliopi Zervanou.
300 ## - PHYSICAL DESCRIPTION
Extent XXXII, 232 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Theory and Applications of Natural Language Processing
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.  
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Information storage and retrieval systems.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Translators (Computer programs).
Topical term or geographic name as entry element Optical pattern recognition.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Pattern Recognition.
Topical term or geographic name as entry element Language Translation and Linguistics.
Topical term or geographic name as entry element Information Storage and Retrieval.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bosch, Antal.
Relator term editor.
Personal name Zervanou, Kalliopi.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642202261
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-20227-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-02AUM Main Library2014-04-02 2014-04-02 E-Book   AUM Main Library006.3

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