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  • Daniel Shore, Provost's Distinguished Associate Professor of English at Georgetown University, is currently completin... moreedit
Linguistic forms are essential to meaning: like words, they make a semantic contribution to the things we say. We inherit them from past writers and speakers and fill them with different words to produce novel utterances. They shape us... more
Linguistic forms are essential to meaning: like words, they make a semantic contribution to the things we say. We inherit them from past writers and speakers and fill them with different words to produce novel utterances. They shape us and the ways we interpret the world. Yet prevalent assumptions about language and the constraints of print-finding tools have kept linguistic forms and their histories hidden from view.

Drawing on recent work in cognitive and construction grammar along with tools and methods developed by corpus and computational linguists, Daniel Shore’s Cyberformalism represents a new way forward for digital humanities scholars seeking to understand the textual past. Championing a qualitative approach to digital archives, Shore uses the abstract pattern-matching capacities of search engines to explore precisely those combinatory aspects of language—word order, syntax, categorization—discarded by the "bag of words" quantitative methods that are dominant in the digital humanities.

While scholars across the humanities have long explored the histories of words and phrases, Shore argues that increasingly sophisticated search tools coupled with growing full-text digital archives make it newly possible to study the histories of linguistic forms. In so doing, Shore challenges a range of received metanarratives and complicates some of the most basic concepts of literary study. Touching on canonical works by Shakespeare, Milton, Wordsworth, and Kant, even as it takes the full diversity of digitized texts as its purview, Cyberformalism asks scholars of literature, history, and culture to revise nothing less than their understanding of the linguistic sign.
Research Interests:
In this paper we present a statistical method for inferring historical social networks from biographical documents as well as the scholarly aims for doing so. Existing scholarship on historical social networks is scattered across an... more
In this paper we present a statistical method for inferring historical social networks from biographical documents as well as the scholarly aims for doing so. Existing scholarship on historical social networks is scattered across an unmanageable number of disparate books and articles. A researcher interested in how persons were connected to one another in our field of study, early modern Britain (c. 1500-1700), has no global, unified resource to which to turn. Manually building such a network is infeasible, since it would need to represent thousands of nodes and tens of millions of potential edges just to include the relations among the most prominent persons of the period. Our Six Degrees of Francis Bacon project takes up recent statistical techniques and digital tools to reconstruct and visualize the early modern social network.

We describe in this paper the natural language processing tools and statistical graph learning techniques that we used to extract names and infer relations from the Oxford Dictionary of National Biography. We then explain the steps taken to test inferred relations against the knowledge of experts in order to improve the accuracy of the learning techniques. Our argument here is twofold: first, that the results of this process, a global visualization of Britain’s early modern social network, will be useful to scholars and students of the period; second, that the pipeline we have developed can, with local modifications, be reused by other scholars to generate networks for other historical or contemporary societies from biographical documents.
Research Interests:
A social network of 16th- and 17th-century Britain.