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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.
Posts tagged "World Literature"
World Authorship: Three Computational Frameworks

World Authorship: Three Computational Frameworks

The following is a condensed version of a talk I delivered recently at Lancaster University in the UK as part of the research project on “Authors and the World.” Both “world” and “authorship” are complex terms that have, on the one hand, very straightforward meanings – the world is coincident with everything on the globe...
Digging into Data Award

Digging into Data Award

We learned that we have been awarded a Digging into Data Grant for our project, “Global Currents: Cultures of Literary Networks, 1050-1900.” Our project will undertake the cross-cultural study of literary networks in a global context, ranging from post-classical Islamic philosophy to the European Enlightenment. Integrating new image-processing techniques with social network analysis, we examine...
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...