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Welcome to .txtLAB, a digital humanities laboratory at McGill University directed by Andrew Piper. We explore the use of computational and quantitative approaches towards understanding literary and cultural phemonena in both the past and present. Our aim is to engage in critical and creative uses of the tools of network science, machine learning, or image processing to think about language, literature, and culture at both the large and small scale.
Digging into Data
Footnote Detection

Footnote Detection

What does it take to understand a page visually at the machine level? That is our guiding question and one that we are initially applying to the problem of detecting footnotes in a large corpus of German Enlightenment periodicals. Why footnotes? According to much received literary critical wisdom, one of the defining features of the...
M.A. Fellowship in Digital Humanities

M.A. Fellowship in Digital Humanities

The Department of Languages, Literatures and Cultures at McGill University is offering a 2-year fellowship to an incoming master’s student to participate in the recently funded Digging into Data project, “Global Currents: Cultures of Literary Networks, 1050-1900,” directed by Prof. Andrew Piper. Project Overview This project undertakes the cross-cultural study of literary networks in a...
Digging into Data: Global Currents

Digging into Data: Global Currents

What can you learn from the visual features of a page? This is the question that lies at the centre of our digging into data project, the awards for which were announced yesterday.  A vast amount of our textual heritage has so far been resistant to large-scale data analysis, whether it is non-western scripts or...