We will be giving a workshop on Text Reuse at the
Translingual and Transcultural Digital Humanities Conference. Estonia, 19-21 October 2015!!
Day of workshop: Wednesday 21 October 2015
Find the full announcement below:
eTRAP (Electronic Text Reuse Acquisition Project) is an Early Career Research Group funded by the German Federal Ministry of Education and Research (BMBF) and based at the Göttingen Centre for Digital Humanities at the University of Göttingen. The research group, which started on 1st March 2015, was awarded €1.6 million and runs for four years. As the name suggests, this interdisciplinary team studies the linguistic and literary phenomenon that is text reuse with a particular focus on historical languages. More specifically, we look at how ancient authors copied, alluded to, paraphrased and translated each other as they spread their knowledge in writing. This early career research group seeks to provide a basic understanding of the (historical) text reuse methodology (it being distinct from plagiarism), and so to study what defines text reuse, why some people reuse information, how text is reused and how this practice has changed over history.
The Hackathon week is over and looking back on it the eTRAP team agrees…it was a hit!
23 participants from 15 different institutions and 8 countries hacking away at research questions on their laptops to achieve the same goal, albeit with different datasets. And the goal was achieved. Our hackers were humanists with a desire to find textual reuses across different works of the same author or across several authors from different times and locations. They brought data in English, German, Latin, Sanskrit, Hebrew and even Arabic and Estonian, spanning across many genres – from folkloristic poetry, to narratives and letters, from lists of citations to biblical texts. From day one they were led by computer scientist and leader of eTRAP, Marco Büchler, through each of the six steps required by the TRACER tool (1) to perform scans of the texts in search of reuse. By using the command line like pros, hackers preprocessed their data and set the parameters they needed to guarantee the most informative outcome. The week culminated with a tutorial on TRAViz (2), an open source variant graph visualisation tool created and presented by Stefan Jänicke (3), which allows users to create a swish visualisation with the results yielded by the TRACER tool.