Doctoral Training School "Distant Reading - Tools and Methods"

Distant reading, driven by the development of digital technology in the human sciences, has emerged as one of the most prolific approaches to literary texts. Maps, graphics and trees, in Moretti's (2005) words, allow us to reread famous works in a new way, or to look at large amounts of texts that have long been forgotten. However, often, approaches to distant reading disregard the acquisition of the data to be observed: Where do they come from? How are they created?

Our training school proposes to return to the crucial stage of data acquisition, focusing on details of the production chain of literary data. During the two-day course, we will start with OCR (optical character recognition), which makes it possible to transform an image into machine-readable text, addressing the difficulties introduced by the variation of graphic systems or the materiality of old artifacts. The second - decisive - step is the encoding in XML-TEI, which transforms the text into a usable database and allows to add more information to the text (e.g., author, gender, period) for ensuing analysis. The third and final step is the analysis with R, which allows hypotheses to be tested and patterns to be explored by analysing and visualising data.

This course is part of a collective work carried out within the European COST "Distant reading" project of which the organizers are the Swiss representatives.

With a strong emphasis on practical experience, this training school is geared towards building the framework for a first multilingual Swiss literary corpus (French, Italian and German). Tasks participating in its construction during the training school will provide an opportunity to discuss pertainent issues.

The working language of the training school is English, knowledge of at least one of the three languages of the literary data (French, Italian, German) is also required.

Registration process: Target group of the training school are doctoral students affiliated with the universities of Basel, Bern, Fribourg, Geneva, Neuchâtel and Lausanne as well as from the EPFL. Post-doc researchers can apply via a short email pending registration of PhD students who have priority.

Please register by sending an email to alexandre.camus@clutterunil.ch

Participation is free of charge for doctoral students. All travel and accommodation expenses are covered by the doctoral program.

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