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Now in its third year, Keystone DH is an annual conference and a network of institutions and practitioners committed to advancing collaborative scholarship in digital humanities research and pedagogy across the Mid-Atlantic.
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Thursday, July 13 • 11:15am - 12:30pm
#s1b Textual Encoding & Markup

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Collaborative Notes for Session (add your own thoughts!)

The Homer Multitext Project and the Development of Greek Accent Notation (Zachary Sowerby)

The Homer Multitext Project (HMT) is creating digital editions of manuscripts documenting the multiformity of Homeric poetry. With contributions from roughly 150 editors, the HMT has nearly finished the earliest complete manuscript of the Iliad, the Venetus A. This manuscript is uniquely important for its scholarly notes (or scholia, which we estimate will number around 10,000), which cite ancient scholars (including quotations of now-lost versions of the Iliad), and which have never been completely published. We will present initial results of our work using digital methods to analyze the development of Greek accent notation. In ancient papyri of the Iliad, accent seems to indicate a pitch contour for an entire verse. By late antiquity, however, grammarians were already describing accents in terms of rules that apply to words, comparable to the formulation in modern grammars of ancient Greek.
While the HMT archives its editions in TEI-conformant XML, the project has defined an abstract model describing the semantics of its editions, and has developed a code library parsing the TEI archive in terms of that model. We will show how we exploit the organization of the HMT's digital archive to examine evidence not previously available in scholarly publications or data sets.
Without reference to XML structures, we extract diplomatic readings of the manuscript, and translate the text into a pattern of syllables mapped with the accents present in the text. We compare these patterns against a similarly analyzed digital text of a typical modern edition, and will show how 10th-century scribal practice follows neither ancient nor modern models exactly. We will compare the Iliad text of the manuscript with quotations in the scholia from possibly earlier sources.
The team consists of students Zachary Sowerby, Julia Spiegel, and Claude Hanley, with guidance from Professor Neel Smith, of College of the Holy Cross.

Projet de Notables: Using TEI to Track the Activities of the Representative Bodies of Revolutionary and Napoleonic France (Zachary Stoltzfus)
After creating a set of tags using TEI (such as PersNames, etc) for each of the deputies of the Constituent Assembly of France, I hope to collate data (such as bailliage/sénéchal, birth/death dates, estate, committees served on, level of activity in the C.A., etc) by using TEI to tag records of the sessions of the Constituent Assembly already digitized and made available online by Stanford (the ARTFL project). The result will be a Prosopography on the Deputies of the Constituent Assembly. The project is still in initial stages, my plan is to present a demo version of a couple different deputies as an example of some of the work my final project might accomplish.

VisColl: Visualizing the Physical Structure of Medieval Manuscripts (Dot Porter)
VisColl is a data model and accompanying system designed to help scholars to visualize the physical collation of medieval manuscripts. In manuscript descriptions and library catalogs, a collation is normally given in the form of a formula, which describes each quire in terms of its position in the manuscript, how many leaves it contains, and if any leaves have been added or removed. A diagram may also be used to illustrate the same information, with the added benefit of clearly showing which leaves are conjoined (conjoined leaves are also known as bifolia). VisColl enables scholars to model the collation of manuscripts and then to present that information in various ways, including diagrams and formulas, but also in novel ways distinct from collating a manuscript by hand. For instance, in addition to visualizing the physical structure of a manuscript, the Beta Version of the VisColl data model enables users to create taxonomies describing the content of the manuscript, and other elements, and then the system links those taxonomies to the physical structure, which produces a more robust and descriptive visualization than is possible with current methods.
This short paper will document the stages of the development of VisColl, from its conception to its current instantiation, which includes implementations under development at the Schoenberg Institute for Manuscript Studies, and in the Old Books, New Science lab at the University of Toronto. The current data model can be found at VisColl's GitHub page, which documents each new build, and from which the project code can be downloaded.


Dot Porter

Curator, Digital Research Services, University of Pennsylvania

Zachary Sowerby

Student, College of the Holy Cross

Thursday July 13, 2017 11:15am - 12:30pm EDT
Ullyot North Chemical Heritage Foundation