2005
DOI: 10.1093/llc/fqh042
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Reading the Readers: Modelling Complex Humanities Processes to Build Cognitive Systems

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Cited by 14 publications
(8 citation statements)
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“…Small digital collections have, in general, been heavily curated relied heavily upon human intervention to ensure quality, and have therefore used time-intensive methods to maintain standards. Frequently, these projects also utilize intellectually intensive methods to ensure that digitized content is presented in its most suitable form: these include harnessing the expertise of the academic community (British Library 2010), the work done to represent texts in digital form that has been undertaken by the Text Encoding Initiative (TEI) (Text Encoding Initiative),and modelling complex research processes in the humanities (Terras 2005, Crane et al 2006. The timeconsuming nature of these methods renders them unsuitable for cost-effective digitization on a large scale (Holley 2009), meaning that large-scale digitization must LSDIs, on the other hand, rely upon scalable technologies such as page scanning and Optical Character Recognition to produce searchable text and retrieve metadata (Coyle 2009).…”
Section: Quantity Versus Qualitymentioning
confidence: 99%
“…Small digital collections have, in general, been heavily curated relied heavily upon human intervention to ensure quality, and have therefore used time-intensive methods to maintain standards. Frequently, these projects also utilize intellectually intensive methods to ensure that digitized content is presented in its most suitable form: these include harnessing the expertise of the academic community (British Library 2010), the work done to represent texts in digital form that has been undertaken by the Text Encoding Initiative (TEI) (Text Encoding Initiative),and modelling complex research processes in the humanities (Terras 2005, Crane et al 2006. The timeconsuming nature of these methods renders them unsuitable for cost-effective digitization on a large scale (Holley 2009), meaning that large-scale digitization must LSDIs, on the other hand, rely upon scalable technologies such as page scanning and Optical Character Recognition to produce searchable text and retrieve metadata (Coyle 2009).…”
Section: Quantity Versus Qualitymentioning
confidence: 99%
“…Figure 2 presents the process model defined in (Terras 2005) to describe the different activities achieved by the experts while deciphering ancient documents. This process was defined to assist the experts through computer means.…”
Section: Caa2011 -Revive the Past: Proceedings Of The 39th Conference In Computer Applications Andmentioning
confidence: 99%
“…A model of the detective work that papyrologists undertake when confronted with the task of interpreting a document was proposed by Terras (Terras, 2005). This model identifies several levels of reading, starting at the feature (or strokelet) level, going then to the character level, the sequence of characters level, the morphemic or word level, the grammatical level, the meaning of a word level, the meaning of a group of words level, and ending at the meaning of the whole document level.…”
Section: Building Meaningmentioning
confidence: 99%
“…It has the property of linking up the micro levels (feature, letter) and the macro levels (word, document), and it takes its place into a more general cognitive theory: connectionism. The word superiority effect model actually is the basis of Terras's model of papyrological reading and transcription (Terras, 2005), which we are attempting to refine by gaining an understanding of the thought processes that eventually yield interpretations of ancient texts. We have here identified some of the mechanisms that trigger the jumps between the levels of reading.…”
Section: Expertise Expectations Aspect-shifting and Oscillationsmentioning
confidence: 99%