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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.
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