Translation and Transliteration of Contact Information initial report open to public comment
Wed, 17 Dec 2014 11:54:59 +0000
For the last year I’ve been co-chairing an ICANN working group on Translation and Transliteration of Contact Information, an issue which will arise once the current ASCII-based Whois directory of domain name contacts is replaced by a system allowing domain name holders to input data in their own languages and scripts. Yesterday was the big […]Read more...
The UCL Laptop Orchestra (UCLOrk)
Mon, 17 Nov 2014 09:16:14 +0000
At the UCL DigiFest 2014 (ucldigifest.org), the Music Systems Engineering Research Team led by Dr Nicolas Gold (UCL Computer Science/UCLDH) ran a 1.5hr session for people interested in digital music. Participants learned about building digital instruments using the Pure Data programming language, explored the sonic possibilities of synthesised sounds, and then came together as a […]Read more...
"Exploring Enlightenment: Text Mining the 18th-Century Republic of Letters", a DH Month talk
Publication date: Mar 27, 2013 05:11 PM
Start: Apr 18, 2013 05:30 PM
Location: G31, Foster Court
Glenn Roe, Faculty of Medieval and Modern Languages, University of Oxford
The challenge of ‘Big Data’ in the Humanities has led in recent years to a host of innovative technological and algorithmic approaches to the growing digital human record. These techniques—from data mining to distant reading—can offer students and scholars new perspectives on the exploration and visualisation of increasingly intractable data sets in the human and social sciences; perspectives that would have previously been unimaginable. The danger, however, in these kinds of ‘macro-analyses’, is that scholars find themselves increasingly disconnected from the raw materials of their research, engaging with massive collections of texts in ways that are neither intuitive nor transparent, and that provide few opportunities to apply traditional modes of close reading to these new resources. In this talk, I will outline some of my previous work using data mining and machine learning techniques to explore large data sets drawn primarily from the French Enlightenment period. Building upon these past experiences, I will then present my current research project at Oxford, which uses sequence alignment algorithms to identify intertextual relationships between authors and texts in the 18th-century “Republic of Letters.” By reintroducing the notion of (inter)textuality into algorithmic and data-driven methods of macro-anlalysis we can perhaps bridge the gap between distant and close readings, by way of an intermediary mode of scholarship I term ‘directed’ or ‘scalable’ reading.
All are welcome, a drinks reception will follow the talk. Please register as places are limited.
Part of UCL's Digital Humanities Month.
Page last modified on 27 mar 13 17:07 by Sarah Davenport