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From Descriptions to Duplicates to Data

Chapter
Part of the Springer Series on Cultural Computing book series (SSCC)

Abstract

Scholarly use of digital material moves from catalogues (locator services) to digital duplicates intended for human study to digital versions intended for computer analysis. We have been through this entire path for text, the easiest material to digitise, and we are now fairly far along with artistic imagery. More difficult content, such as costume and dance, will move through the same stages in the future. Perhaps the most important question is whether the nature of critical research changes as the tools change. Many early applications of computers were authorship studies, for example. More generally, does research based on computer analysis ask the same kind of questions as other research? Is it done on the same materials? So far, it would appear that the same materials are considered, and the same questions asked, but there are newer tools to apply. Algorithmic research can also study larger quantities of material, perhaps reducing the single-work focus of much cultural study.

Keywords

Machine Translation Sentiment Analysis Statistical Machine Translation Forgery Detection Digital Material 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Rutgers UniversityNew BrunswickUSA

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