The Palimpsest project uses natural language processing technology,
informed by literary scholars’ input, in order to text mine literary
works set in Edinburgh and to visualise the results in accessible
The focus of the Hiberlink project is to assess the extent of
so-called ‘reference rot’. This two-year study investigates how web
links in online scientific and other academic articles fail to lead to
the resources that were originally referenced.
The Trading Consequences project is a
multi-institutional, international collaboration between environmental
historians in Canada and computer scientists in the UK that uses
text-mining software to explore thousands of pages of historical
documents related to international commodity trading in the British
Empire, involving Canada in particular, during the 19th century, and
its impact on the economy and environment.
This project aims to digitise
the 86 volumes of the Survey of English Place-Names, a county by
county survey started in 1922 by the specialists of the English
Place-Name Society (EPNS). Our role is to convert the semi-structured
text into a full structured resource from which a historical gazetteer
is derived for use with the Edinburgh Geoparser as embedded
in Unlock Text.A
browsable view of the gazetteer can be found at
The goal of SYNC3 is to create a framework for
structuring, rendering more accessible and enabling collaborative
creation of the extensive user-provided content that is located in
personal blogs and refers to running news issues. Funded by the
European Union's 7th Framework Programme: Information and
Communication Technologies (ICT).
Combining Shallow Semantics and
Domain Knowledge: the project builds on existing techniques for
information extraction (IE) in order to develop and implement improved
methods for extracting semantic content from text.